{
  "session_id": "run-3-openai/gpt-5.2",
  "model": "openai/gpt-5.2",
  "seed": 3,
  "horizon_years": 1,
  "turns_completed": 73,
  "terminal": true,
  "terminal_reason": "horizon_end",
  "terminal_detail": "horizon_end",
  "total_cost_usd": 3.389641,
  "started_at": "2026-02-26T18:36:57.979661+00:00",
  "ended_at": "2026-02-26T18:41:16.362174+00:00",
  "transcript": [
    {
      "turn": 1,
      "timestamp": "2026-02-26T18:37:01.587303+00:00",
      "user_input": "## Simulation Start \u2014 Take Immediate Action\n- current_time: 2025-01-01T09:00:00\n- horizon_end: 2026-01-01T09:00:00\n- funds: $250,000.00\n- monthly_payroll: $38,075.80\n- runway: ~6.6 months\n- employees: 5\n- active_tasks: 0\n- planned_tasks: 0\n\n**Your immediate priority**: generate revenue before payroll drains your runway.\nYou MUST complete these steps now (multiple commands per turn are fine):\n1. `yc-bench market browse --required-prestige-lte 1` \u2014 find tasks you can accept\n2. `yc-bench task accept --task-id <UUID>` \u2014 accept 2-3 suitable tasks\n3. `yc-bench employee list` \u2014 get employee IDs\n4. `yc-bench task assign --task-id <UUID> --employee-id <UUID>` \u2014 assign employees\n5. `yc-bench task dispatch --task-id <UUID>` \u2014 start work on each assigned task\n6. `yc-bench sim resume` \u2014 advance time to collect the first task completion event\n\nDo not spend multiple turns just browsing. Accept and dispatch tasks immediately.",
      "agent_output": "Executed 2 tool call(s): yc-bench market browse --required-prestige-lte 1, yc-bench employee list",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 14,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n      \\\"title\\\": \\\"Build Ablation Study Framework for Prompt Engineering [RESEARCH-33]\\\",\\n      \\\"description\\\": \\\"Create an experimentation harness for testing prompt variations across multiple models and tasks with statistical significance testing and cost tracking.\\\",\\n      \\\"required_prestige\\\": 1,\\n      \\\"rew",
        "yc-bench employee list -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"count\\\": 5,\\n  \\\"employees\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"name\\\": \\\"Emp_1\\\",\\n      \\\"salary_cents\\\": 740517,\\n      \\\"work_hours_per_day\\\": 9.0,\\n      \\\"skills\\\": {\\n        \\\"backend\\\": 6.0519,\\n        \\\"data\\\": 7.5099,\\n        \\\"frontend\\\": 6.7721,\\n        \\\"hardware\\\": 6.2187,\\n        \\\"research\\\": 4.6753,\\n        \\\"system\\\": 7.0001,\\n        \\\"training\\\": 7.6368\\n      },\\n      \\\"ac"
      ]
    },
    {
      "turn": 2,
      "timestamp": "2026-02-26T18:37:05.645441+00:00",
      "user_input": "## Turn 2 \u2014 Simulation State\n- **Current time**: 2025-01-01T09:00:00\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $250,000.00 (25000000 cents)\n- **Monthly payroll**: $38,075.80\n- **Runway**: ~6.6 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 3 tool call(s): yc-bench task accept --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1, yc-bench task accept --task-id a06831e7-365e-4f40-805e-beb4ecea5a81, yc-bench task accept --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f",
      "commands_executed": [
        "yc-bench task accept --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"86493a45-924a-40e2-931f-ce4f9e563ad1\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-01-01T09:00:00\\\",\\n  \\\"deadline\\\": \\\"2025-01-09T18:00:00\\\",\\n  \\\"replacement_task_id\\\": \\\"f0fbcd5b-d97e-428f-9fa0-234e7c39e1b7\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1\"}",
        "yc-bench task accept --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-01-01T09:00:00\\\",\\n  \\\"deadline\\\": \\\"2025-01-09T18:00:00\\\",\\n  \\\"replacement_task_id\\\": \\\"de640013-607d-40ac-ab2e-b56da00e4ad0\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id a06831e7-365e-4f40-805e-beb4ecea5a81\"}",
        "yc-bench task accept --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e2a2d2f3-e623-4c46-af1c-49e17db5b86f\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-01-01T09:00:00\\\",\\n  \\\"deadline\\\": \\\"2025-01-09T18:00:00\\\",\\n  \\\"replacement_task_id\\\": \\\"881867b3-011e-45e2-9c51-66d1cf6ce7aa\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f\"}"
      ]
    },
    {
      "turn": 3,
      "timestamp": "2026-02-26T18:37:11.441429+00:00",
      "user_input": "## Turn 3 \u2014 Simulation State\n- **Current time**: 2025-01-01T09:00:00\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $250,000.00 (25000000 cents)\n- **Monthly payroll**: $38,075.80\n- **Runway**: ~6.6 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 3\n\n**ACTION REQUIRED**: You have planned tasks but none are dispatched. Assign employees and dispatch now, then call `yc-bench sim resume`.",
      "agent_output": "Executed 5 tool call(s): yc-bench task assign --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67, yc-bench task assign --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1, yc-bench task assign --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94, yc-bench task assign --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce, yc-bench task assign --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f --employee-id 69459583-5913-4a38-9520-55d6517b8108",
      "commands_executed": [
        "yc-bench task assign --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"86493a45-924a-40e2-931f-ce4f9e563ad1\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-01T09:00:00\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67\"}",
        "yc-bench task assign --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"86493a45-924a-40e2-931f-ce4f9e563ad1\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-01T09:00:00\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-01T09:00:00\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id 86493a",
        "yc-bench task assign --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-01T09:00:00\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94\"}",
        "yc-bench task assign --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-01T09:00:00\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"d42fe995-4c6a-4266-978d-ae9c9f1948ce\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-01T09:00:00\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id a06831",
        "yc-bench task assign --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f --employee-id 69459583-5913-4a38-9520-55d6517b8108 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e2a2d2f3-e623-4c46-af1c-49e17db5b86f\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-01T09:00:00\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f --employee-id 69459583-5913-4a38-9520-55d6517b8108\"}"
      ]
    },
    {
      "turn": 4,
      "timestamp": "2026-02-26T18:37:15.743636+00:00",
      "user_input": "## Turn 4 \u2014 Simulation State\n- **Current time**: 2025-01-01T09:00:00\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $250,000.00 (25000000 cents)\n- **Monthly payroll**: $38,075.80\n- **Runway**: ~6.6 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 3\n\n**ACTION REQUIRED**: You have planned tasks but none are dispatched. Assign employees and dispatch now, then call `yc-bench sim resume`.",
      "agent_output": "Executed 3 tool call(s): yc-bench task dispatch --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1, yc-bench task dispatch --task-id a06831e7-365e-4f40-805e-beb4ecea5a81, yc-bench task dispatch --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f",
      "commands_executed": [
        "yc-bench task dispatch --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"86493a45-924a-40e2-931f-ce4f9e563ad1\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 2\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1\"}",
        "yc-bench task dispatch --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 2\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id a06831e7-365e-4f40-805e-beb4ecea5a81\"}",
        "yc-bench task dispatch --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e2a2d2f3-e623-4c46-af1c-49e17db5b86f\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 1\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f\"}"
      ]
    },
    {
      "turn": 5,
      "timestamp": "2026-02-26T18:37:17.091497+00:00",
      "user_input": "## Turn 5 \u2014 Simulation State\n- **Current time**: 2025-01-01T09:00:00\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $250,000.00 (25000000 cents)\n- **Monthly payroll**: $38,075.80\n- **Runway**: ~6.6 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-01T09:00:00\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-03T11:14:30.729676\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"86493a45-924a-40e2-931f-ce4f9e563ad1\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_half_pro"
      ]
    },
    {
      "turn": 6,
      "timestamp": "2026-02-26T18:37:20.516980+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-01T09:00:00\n- new_sim_time: 2025-01-03T11:14:30.729676\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': '86493a45-924a-40e2-931f-ce4f9e563ad1', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench task inspect --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1, yc-bench task inspect --task-id a06831e7-365e-4f40-805e-beb4ecea5a81, yc-bench task inspect --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f",
      "commands_executed": [
        "yc-bench task inspect --task-id 86493a45-924a-40e2-931f-ce4f9e563ad1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"86493a45-924a-40e2-931f-ce4f9e563ad1\\\",\\n  \\\"title\\\": \\\"Implement PII Detection and Redaction Pipeline [DATA-95]\\\",\\n  \\\"description\\\": \\\"Deploy a pipeline to detect and redact personally identifiable information from training data, with audit logging and configurable redaction strategies.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4516400,\\n  \\\"reward_prestige_delta\\\": 1.329,\\n  \\\"skill_boost_",
        "yc-bench task inspect --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n  \\\"title\\\": \\\"Build Synthetic Data Pipeline for Rare Edge Cases [DATA-2]\\\",\\n  \\\"description\\\": \\\"Create a system that uses frontier LLMs to generate realistic synthetic examples for underrepresented categories in a classification dataset.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5144627,\\n  \\\"reward_prestige_delta\\\": 1.005,\\n  \\\"skill_boost_pct\\\": 0.",
        "yc-bench task inspect --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e2a2d2f3-e623-4c46-af1c-49e17db5b86f\\\",\\n  \\\"title\\\": \\\"Build GPU Health Monitoring and Failover System [HARDWARE-70]\\\",\\n  \\\"description\\\": \\\"Implement a daemon detecting GPU memory errors, thermal throttling, and NVLink degradation, automatically draining affected nodes and redistributing workloads.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 6693381,\\n  \\\"reward_prestige_delta\\\": 1.022,\\n  \\\""
      ]
    },
    {
      "turn": 7,
      "timestamp": "2026-02-26T18:37:22.175303+00:00",
      "user_input": "## Turn 7 \u2014 Simulation State\n- **Current time**: 2025-01-03T11:14:30.729676\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $250,000.00 (25000000 cents)\n- **Monthly payroll**: $38,075.80\n- **Runway**: ~6.6 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-03T11:14:30.729676\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-07T13:29:01.459352\\\",\\n  \\\"events_processed\\\": 2,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 4516400,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_completed\\\",\\n      \\\"task_id\\\": \\\"86493a45-924a-40e2-931f-ce4f9e563ad1\\\",\\n      \\\"success\\\": true,\\n      \\\"funds_delta\\\": 4516400,\\n      \\\"bankrupt\\\": fa"
      ]
    },
    {
      "turn": 8,
      "timestamp": "2026-02-26T18:37:26.871691+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-03T11:14:30.729676\n- new_sim_time: 2025-01-07T13:29:01.459352\n- checkpoint_event_type: task_completed\n- events_processed: 2\n- payrolls_applied: 0\n- balance_delta: 4516400\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 2\n- wake_event: {'type': 'task_completed', 'task_id': '86493a45-924a-40e2-931f-ce4f9e563ad1', 'success': True, 'funds_delta': 4516400, 'bankrupt': False}\n- wake_event: {'type': 'task_half', 'task_id': 'a06831e7-365e-4f40-805e-beb4ecea5a81', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 4 tool call(s): yc-bench company status, yc-bench task inspect --task-id a06831e7-365e-4f40-805e-beb4ecea5a81, yc-bench task inspect --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f, yc-bench market browse --required-prestige-lte 2 --reward-min-cents 3000000",
      "commands_executed": [
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 29516400,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.0,\\n    \\\"data\\\": 2.329,\\n    \\\"frontend\\\": 1.0,\\n    \\\"hardware\\\": 1.0,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.0,\\n    \\\"training\\\": 1.0\\n  },\\n  \\\"sim_time\\\": \\\"2025-01-07T13:29:01.459352\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 2,\\n    \\\"planned\\\"",
        "yc-bench task inspect --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n  \\\"title\\\": \\\"Build Synthetic Data Pipeline for Rare Edge Cases [DATA-2]\\\",\\n  \\\"description\\\": \\\"Create a system that uses frontier LLMs to generate realistic synthetic examples for underrepresented categories in a classification dataset.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5144627,\\n  \\\"reward_prestige_delta\\\": 1.005,\\n  \\\"skill_boost_pct\\\": 0.",
        "yc-bench task inspect --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e2a2d2f3-e623-4c46-af1c-49e17db5b86f\\\",\\n  \\\"title\\\": \\\"Build GPU Health Monitoring and Failover System [HARDWARE-70]\\\",\\n  \\\"description\\\": \\\"Implement a daemon detecting GPU memory errors, thermal throttling, and NVLink degradation, automatically draining affected nodes and redistributing workloads.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 6693381,\\n  \\\"reward_prestige_delta\\\": 1.022,\\n  \\\"",
        "yc-bench market browse --required-prestige-lte 2 --reward-min-cents 3000000 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 43,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"de640013-607d-40ac-ab2e-b56da00e4ad0\\\",\\n      \\\"title\\\": \\\"Deploy Edge Inference for Real-Time Video Analytics [HARDWARE-1]\\\",\\n      \\\"description\\\": \\\"Set up an NVIDIA Jetson-based inference node running YOLO and a lightweight LLM for on-premises real-time camera analysis with local data processing.\\\",\\n      \\\"required_prestige\\\": 2,\\n      \\\"reward_fun"
      ]
    },
    {
      "turn": 9,
      "timestamp": "2026-02-26T18:37:30.605302+00:00",
      "user_input": "## Turn 9 \u2014 Simulation State\n- **Current time**: 2025-01-07T13:29:01.459352\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 2 tool call(s): yc-bench task assign --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67, yc-bench task assign --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1",
      "commands_executed": [
        "yc-bench task assign --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-01T09:00:00\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-07T13:29:01.459352\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"d42fe995-4c6a-4266-978d-ae9c9f1948ce\\\",\\n      \\\"assi",
        "yc-bench task assign --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e2a2d2f3-e623-4c46-af1c-49e17db5b86f\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-01T09:00:00\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-07T13:29:01.459352\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id "
      ]
    },
    {
      "turn": 10,
      "timestamp": "2026-02-26T18:37:32.210071+00:00",
      "user_input": "## Turn 10 \u2014 Simulation State\n- **Current time**: 2025-01-07T13:29:01.459352\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-07T13:29:01.459352\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-08T09:17:35.068276\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"e2a2d2f3-e623-4c46-af1c-49e17db5b86f\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 11,
      "timestamp": "2026-02-26T18:37:35.350821+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-07T13:29:01.459352\n- new_sim_time: 2025-01-08T09:17:35.068276\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': 'e2a2d2f3-e623-4c46-af1c-49e17db5b86f', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 2 tool call(s): yc-bench task inspect --task-id a06831e7-365e-4f40-805e-beb4ecea5a81, yc-bench task inspect --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f",
      "commands_executed": [
        "yc-bench task inspect --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n  \\\"title\\\": \\\"Build Synthetic Data Pipeline for Rare Edge Cases [DATA-2]\\\",\\n  \\\"description\\\": \\\"Create a system that uses frontier LLMs to generate realistic synthetic examples for underrepresented categories in a classification dataset.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5144627,\\n  \\\"reward_prestige_delta\\\": 1.005,\\n  \\\"skill_boost_pct\\\": 0.",
        "yc-bench task inspect --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e2a2d2f3-e623-4c46-af1c-49e17db5b86f\\\",\\n  \\\"title\\\": \\\"Build GPU Health Monitoring and Failover System [HARDWARE-70]\\\",\\n  \\\"description\\\": \\\"Implement a daemon detecting GPU memory errors, thermal throttling, and NVLink degradation, automatically draining affected nodes and redistributing workloads.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 6693381,\\n  \\\"reward_prestige_delta\\\": 1.022,\\n  \\\""
      ]
    },
    {
      "turn": 12,
      "timestamp": "2026-02-26T18:37:37.063213+00:00",
      "user_input": "## Turn 12 \u2014 Simulation State\n- **Current time**: 2025-01-08T09:17:35.068276\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-08T09:17:35.068276\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-10T15:05:11.028757\\\",\\n  \\\"events_processed\\\": 2,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_completed\\\",\\n      \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n      \\\"success\\\": false,\\n      \\\"funds_delta\\\": 0,\\n      \\\"bankrupt\\\": false\\n    },"
      ]
    },
    {
      "turn": 13,
      "timestamp": "2026-02-26T18:37:40.271747+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-08T09:17:35.068276\n- new_sim_time: 2025-01-10T15:05:11.028757\n- checkpoint_event_type: task_completed\n- events_processed: 2\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 2\n- wake_event: {'type': 'task_completed', 'task_id': 'a06831e7-365e-4f40-805e-beb4ecea5a81', 'success': False, 'funds_delta': 0, 'bankrupt': False}\n- wake_event: {'type': 'task_completed', 'task_id': 'e2a2d2f3-e623-4c46-af1c-49e17db5b86f', 'success': False, 'funds_delta': 0, 'bankrupt': False}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 4 tool call(s): yc-bench company status, yc-bench task inspect --task-id a06831e7-365e-4f40-805e-beb4ecea5a81, yc-bench task inspect --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f, yc-bench market browse --required-prestige-lte 2 --reward-min-cents 6000000",
      "commands_executed": [
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 29516400,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.0,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.0,\\n    \\\"hardware\\\": 1.0,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.0,\\n    \\\"training\\\": 1.0\\n  },\\n  \\\"sim_time\\\": \\\"2025-01-10T15:05:11.028757\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 0,\\n    \\\"planned\\\"",
        "yc-bench task inspect --task-id a06831e7-365e-4f40-805e-beb4ecea5a81 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"a06831e7-365e-4f40-805e-beb4ecea5a81\\\",\\n  \\\"title\\\": \\\"Build Synthetic Data Pipeline for Rare Edge Cases [DATA-2]\\\",\\n  \\\"description\\\": \\\"Create a system that uses frontier LLMs to generate realistic synthetic examples for underrepresented categories in a classification dataset.\\\",\\n  \\\"status\\\": \\\"completed_fail\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5144627,\\n  \\\"reward_prestige_delta\\\": 1.005,\\n  \\\"skill_boost_p",
        "yc-bench task inspect --task-id e2a2d2f3-e623-4c46-af1c-49e17db5b86f -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e2a2d2f3-e623-4c46-af1c-49e17db5b86f\\\",\\n  \\\"title\\\": \\\"Build GPU Health Monitoring and Failover System [HARDWARE-70]\\\",\\n  \\\"description\\\": \\\"Implement a daemon detecting GPU memory errors, thermal throttling, and NVLink degradation, automatically draining affected nodes and redistributing workloads.\\\",\\n  \\\"status\\\": \\\"completed_fail\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 6693381,\\n  \\\"reward_prestige_delta\\\": 1.02",
        "yc-bench market browse --required-prestige-lte 2 --reward-min-cents 6000000 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 21,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"de640013-607d-40ac-ab2e-b56da00e4ad0\\\",\\n      \\\"title\\\": \\\"Deploy Edge Inference for Real-Time Video Analytics [HARDWARE-1]\\\",\\n      \\\"description\\\": \\\"Set up an NVIDIA Jetson-based inference node running YOLO and a lightweight LLM for on-premises real-time camera analysis with local data processing.\\\",\\n      \\\"required_prestige\\\": 2,\\n      \\\"reward_fun"
      ]
    },
    {
      "turn": 14,
      "timestamp": "2026-02-26T18:37:43.862319+00:00",
      "user_input": "## Turn 14 \u2014 Simulation State\n- **Current time**: 2025-01-10T15:05:11.028757\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 2 tool call(s): yc-bench task accept --task-id ef65ba1d-fcf2-454d-9462-7a4c333aefe0, yc-bench task accept --task-id 310cd08e-5920-466a-b0ba-5405df239703",
      "commands_executed": [
        "yc-bench task accept --task-id ef65ba1d-fcf2-454d-9462-7a4c333aefe0 -> {\"ok\": false, \"exit_code\": 1, \"stdout\": \"{\\\"error\\\": \\\"Company max prestige (1.324) does not meet task requirement (2).\\\"}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id ef65ba1d-fcf2-454d-9462-7a4c333aefe0\"}",
        "yc-bench task accept --task-id 310cd08e-5920-466a-b0ba-5405df239703 -> {\"ok\": false, \"exit_code\": 1, \"stdout\": \"{\\\"error\\\": \\\"Company max prestige (1.324) does not meet task requirement (2).\\\"}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 310cd08e-5920-466a-b0ba-5405df239703\"}"
      ]
    },
    {
      "turn": 15,
      "timestamp": "2026-02-26T18:37:46.134797+00:00",
      "user_input": "## Turn 15 \u2014 Simulation State\n- **Current time**: 2025-01-10T15:05:11.028757\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 2 tool call(s): yc-bench market browse --required-prestige-lte 1 --reward-min-cents 3500000, yc-bench market browse --required-prestige-lte 1",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 1 --reward-min-cents 3500000 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 9,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n      \\\"title\\\": \\\"Build Ablation Study Framework for Prompt Engineering [RESEARCH-33]\\\",\\n      \\\"description\\\": \\\"Create an experimentation harness for testing prompt variations across multiple models and tasks with statistical significance testing and cost tracking.\\\",\\n      \\\"required_prestige\\\": 1,\\n      \\\"rewa",
        "yc-bench market browse --required-prestige-lte 1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 11,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n      \\\"title\\\": \\\"Build Ablation Study Framework for Prompt Engineering [RESEARCH-33]\\\",\\n      \\\"description\\\": \\\"Create an experimentation harness for testing prompt variations across multiple models and tasks with statistical significance testing and cost tracking.\\\",\\n      \\\"required_prestige\\\": 1,\\n      \\\"rew"
      ]
    },
    {
      "turn": 16,
      "timestamp": "2026-02-26T18:37:49.110093+00:00",
      "user_input": "## Turn 16 \u2014 Simulation State\n- **Current time**: 2025-01-10T15:05:11.028757\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 3 tool call(s): yc-bench task accept --task-id 27ca4558-56d7-438c-9563-34804aaab660, yc-bench task accept --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9, yc-bench task accept --task-id c2f395e9-81f3-4006-b317-109af5668d36",
      "commands_executed": [
        "yc-bench task accept --task-id 27ca4558-56d7-438c-9563-34804aaab660 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-01-10T15:05:11.028757\\\",\\n  \\\"deadline\\\": \\\"2025-01-21T15:05:11.028757\\\",\\n  \\\"replacement_task_id\\\": \\\"c6f4d9e8-adcb-474f-8312-05ddac0309ad\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 27ca4558-56d7-438c-9563-34804aaab660\"}",
        "yc-bench task accept --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-01-10T15:05:11.028757\\\",\\n  \\\"deadline\\\": \\\"2025-01-21T15:05:11.028757\\\",\\n  \\\"replacement_task_id\\\": \\\"eb666213-3f1d-41eb-8210-23b3f1bfe9ad\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\"}",
        "yc-bench task accept --task-id c2f395e9-81f3-4006-b317-109af5668d36 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"c2f395e9-81f3-4006-b317-109af5668d36\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-01-10T15:05:11.028757\\\",\\n  \\\"deadline\\\": \\\"2025-01-21T15:05:11.028757\\\",\\n  \\\"replacement_task_id\\\": \\\"275c5153-af63-445d-b4ee-59539b0e9805\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id c2f395e9-81f3-4006-b317-109af5668d36\"}"
      ]
    },
    {
      "turn": 17,
      "timestamp": "2026-02-26T18:37:55.514846+00:00",
      "user_input": "## Turn 17 \u2014 Simulation State\n- **Current time**: 2025-01-10T15:05:11.028757\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 3\n\n**ACTION REQUIRED**: You have planned tasks but none are dispatched. Assign employees and dispatch now, then call `yc-bench sim resume`.",
      "agent_output": "Executed 5 tool call(s): yc-bench task assign --task-id 27ca4558-56d7-438c-9563-34804aaab660 --employee-id 69459583-5913-4a38-9520-55d6517b8108, yc-bench task assign --task-id c2f395e9-81f3-4006-b317-109af5668d36 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94, yc-bench task assign --task-id c2f395e9-81f3-4006-b317-109af5668d36 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1, yc-bench task assign --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67, yc-bench task assign --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce",
      "commands_executed": [
        "yc-bench task assign --task-id 27ca4558-56d7-438c-9563-34804aaab660 --employee-id 69459583-5913-4a38-9520-55d6517b8108 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-10T15:05:11.028757\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id 27ca4558-56d7-438c-9563-34804aaab660 --employee-id 69459583-5913-4a38-9520-55d6517b8108\"}",
        "yc-bench task assign --task-id c2f395e9-81f3-4006-b317-109af5668d36 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"c2f395e9-81f3-4006-b317-109af5668d36\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-10T15:05:11.028757\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id c2f395e9-81f3-4006-b317-109af5668d36 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94\"}",
        "yc-bench task assign --task-id c2f395e9-81f3-4006-b317-109af5668d36 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"c2f395e9-81f3-4006-b317-109af5668d36\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-10T15:05:11.028757\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-10T15:05:11.028757\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --",
        "yc-bench task assign --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-10T15:05:11.028757\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67\"}",
        "yc-bench task assign --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-10T15:05:11.028757\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"d42fe995-4c6a-4266-978d-ae9c9f1948ce\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-10T15:05:11.028757\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --"
      ]
    },
    {
      "turn": 18,
      "timestamp": "2026-02-26T18:37:59.294534+00:00",
      "user_input": "## Turn 18 \u2014 Simulation State\n- **Current time**: 2025-01-10T15:05:11.028757\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 3\n\n**ACTION REQUIRED**: You have planned tasks but none are dispatched. Assign employees and dispatch now, then call `yc-bench sim resume`.",
      "agent_output": "Executed 3 tool call(s): yc-bench task dispatch --task-id 27ca4558-56d7-438c-9563-34804aaab660, yc-bench task dispatch --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9, yc-bench task dispatch --task-id c2f395e9-81f3-4006-b317-109af5668d36",
      "commands_executed": [
        "yc-bench task dispatch --task-id 27ca4558-56d7-438c-9563-34804aaab660 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 1\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id 27ca4558-56d7-438c-9563-34804aaab660\"}",
        "yc-bench task dispatch --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 2\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\"}",
        "yc-bench task dispatch --task-id c2f395e9-81f3-4006-b317-109af5668d36 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"c2f395e9-81f3-4006-b317-109af5668d36\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 2\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id c2f395e9-81f3-4006-b317-109af5668d36\"}"
      ]
    },
    {
      "turn": 19,
      "timestamp": "2026-02-26T18:38:00.465445+00:00",
      "user_input": "## Turn 19 \u2014 Simulation State\n- **Current time**: 2025-01-10T15:05:11.028757\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-10T15:05:11.028757\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-16T13:53:14.867241\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 20,
      "timestamp": "2026-02-26T18:38:05.030343+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-10T15:05:11.028757\n- new_sim_time: 2025-01-16T13:53:14.867241\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': '27ca4558-56d7-438c-9563-34804aaab660', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench task inspect --task-id 27ca4558-56d7-438c-9563-34804aaab660, yc-bench task inspect --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9, yc-bench task inspect --task-id c2f395e9-81f3-4006-b317-109af5668d36",
      "commands_executed": [
        "yc-bench task inspect --task-id 27ca4558-56d7-438c-9563-34804aaab660 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n  \\\"title\\\": \\\"Build Ablation Study Framework for Prompt Engineering [RESEARCH-33]\\\",\\n  \\\"description\\\": \\\"Create an experimentation harness for testing prompt variations across multiple models and tasks with statistical significance testing and cost tracking.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 8248373,\\n  \\\"reward_prestige_delta\\\": 0.251,\\n  \\\"",
        "yc-bench task inspect --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n  \\\"title\\\": \\\"Build Multi-GPU Training Infra with DeepSpeed [TRAINING-49]\\\",\\n  \\\"description\\\": \\\"Set up distributed training using DeepSpeed ZeRO Stage 3 across an 8-node GPU cluster with checkpoint sharding and fault-tolerant resumption.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5371409,\\n  \\\"reward_prestige_delta\\\": 0.657,\\n  \\\"skill_boost_pct\\\": 0",
        "yc-bench task inspect --task-id c2f395e9-81f3-4006-b317-109af5668d36 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"c2f395e9-81f3-4006-b317-109af5668d36\\\",\\n  \\\"title\\\": \\\"Create Plugin Marketplace Backend [BACKEND-4]\\\",\\n  \\\"description\\\": \\\"Design the API and data model for a marketplace where third-party developers register, version, and distribute plugins for the AI platform.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4714995,\\n  \\\"reward_prestige_delta\\\": 0.242,\\n  \\\"skill_boost_pct\\\": 0.1186,\\n  \\\"acce"
      ]
    },
    {
      "turn": 21,
      "timestamp": "2026-02-26T18:38:06.569172+00:00",
      "user_input": "## Turn 21 \u2014 Simulation State\n- **Current time**: 2025-01-16T13:53:14.867241\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-16T13:53:14.867241\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-16T15:19:30.341596\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"c2f395e9-81f3-4006-b317-109af5668d36\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 22,
      "timestamp": "2026-02-26T18:38:10.179857+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-16T13:53:14.867241\n- new_sim_time: 2025-01-16T15:19:30.341596\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': 'c2f395e9-81f3-4006-b317-109af5668d36', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench task inspect --task-id 27ca4558-56d7-438c-9563-34804aaab660, yc-bench task inspect --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9, yc-bench task inspect --task-id c2f395e9-81f3-4006-b317-109af5668d36",
      "commands_executed": [
        "yc-bench task inspect --task-id 27ca4558-56d7-438c-9563-34804aaab660 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n  \\\"title\\\": \\\"Build Ablation Study Framework for Prompt Engineering [RESEARCH-33]\\\",\\n  \\\"description\\\": \\\"Create an experimentation harness for testing prompt variations across multiple models and tasks with statistical significance testing and cost tracking.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 8248373,\\n  \\\"reward_prestige_delta\\\": 0.251,\\n  \\\"",
        "yc-bench task inspect --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n  \\\"title\\\": \\\"Build Multi-GPU Training Infra with DeepSpeed [TRAINING-49]\\\",\\n  \\\"description\\\": \\\"Set up distributed training using DeepSpeed ZeRO Stage 3 across an 8-node GPU cluster with checkpoint sharding and fault-tolerant resumption.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5371409,\\n  \\\"reward_prestige_delta\\\": 0.657,\\n  \\\"skill_boost_pct\\\": 0",
        "yc-bench task inspect --task-id c2f395e9-81f3-4006-b317-109af5668d36 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"c2f395e9-81f3-4006-b317-109af5668d36\\\",\\n  \\\"title\\\": \\\"Create Plugin Marketplace Backend [BACKEND-4]\\\",\\n  \\\"description\\\": \\\"Design the API and data model for a marketplace where third-party developers register, version, and distribute plugins for the AI platform.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4714995,\\n  \\\"reward_prestige_delta\\\": 0.242,\\n  \\\"skill_boost_pct\\\": 0.1186,\\n  \\\"acce"
      ]
    },
    {
      "turn": 23,
      "timestamp": "2026-02-26T18:38:12.097744+00:00",
      "user_input": "## Turn 23 \u2014 Simulation State\n- **Current time**: 2025-01-16T15:19:30.341596\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-16T15:19:30.341596\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-21T17:42:29.498459\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 24,
      "timestamp": "2026-02-26T18:38:16.841962+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-16T15:19:30.341596\n- new_sim_time: 2025-01-21T17:42:29.498459\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': '5f81ebb8-3320-4e3a-b1cf-2000b559e9b9', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 4 tool call(s): yc-bench task inspect --task-id 27ca4558-56d7-438c-9563-34804aaab660, yc-bench task inspect --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9, yc-bench task inspect --task-id c2f395e9-81f3-4006-b317-109af5668d36, yc-bench company status",
      "commands_executed": [
        "yc-bench task inspect --task-id 27ca4558-56d7-438c-9563-34804aaab660 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n  \\\"title\\\": \\\"Build Ablation Study Framework for Prompt Engineering [RESEARCH-33]\\\",\\n  \\\"description\\\": \\\"Create an experimentation harness for testing prompt variations across multiple models and tasks with statistical significance testing and cost tracking.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 8248373,\\n  \\\"reward_prestige_delta\\\": 0.251,\\n  \\\"",
        "yc-bench task inspect --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n  \\\"title\\\": \\\"Build Multi-GPU Training Infra with DeepSpeed [TRAINING-49]\\\",\\n  \\\"description\\\": \\\"Set up distributed training using DeepSpeed ZeRO Stage 3 across an 8-node GPU cluster with checkpoint sharding and fault-tolerant resumption.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5371409,\\n  \\\"reward_prestige_delta\\\": 0.657,\\n  \\\"skill_boost_pct\\\": 0",
        "yc-bench task inspect --task-id c2f395e9-81f3-4006-b317-109af5668d36 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"c2f395e9-81f3-4006-b317-109af5668d36\\\",\\n  \\\"title\\\": \\\"Create Plugin Marketplace Backend [BACKEND-4]\\\",\\n  \\\"description\\\": \\\"Design the API and data model for a marketplace where third-party developers register, version, and distribute plugins for the AI platform.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4714995,\\n  \\\"reward_prestige_delta\\\": 0.242,\\n  \\\"skill_boost_pct\\\": 0.1186,\\n  \\\"acce",
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 29516400,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.0,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.0,\\n    \\\"hardware\\\": 1.0,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.0,\\n    \\\"training\\\": 1.0\\n  },\\n  \\\"sim_time\\\": \\\"2025-01-21T17:42:29.498459\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 3,\\n    \\\"planned\\\""
      ]
    },
    {
      "turn": 25,
      "timestamp": "2026-02-26T18:38:18.810448+00:00",
      "user_input": "## Turn 25 \u2014 Simulation State\n- **Current time**: 2025-01-21T17:42:29.498459\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-21T17:42:29.498459\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-22T12:41:18.705724\\\",\\n  \\\"events_processed\\\": 2,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_completed\\\",\\n      \\\"task_id\\\": \\\"27ca4558-56d7-438c-9563-34804aaab660\\\",\\n      \\\"success\\\": false,\\n      \\\"funds_delta\\\": 0,\\n      \\\"bankrupt\\\": false\\n    },"
      ]
    },
    {
      "turn": 26,
      "timestamp": "2026-02-26T18:38:23.010349+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-21T17:42:29.498459\n- new_sim_time: 2025-01-22T12:41:18.705724\n- checkpoint_event_type: task_completed\n- events_processed: 2\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 2\n- wake_event: {'type': 'task_completed', 'task_id': '27ca4558-56d7-438c-9563-34804aaab660', 'success': False, 'funds_delta': 0, 'bankrupt': False}\n- wake_event: {'type': 'task_completed', 'task_id': 'c2f395e9-81f3-4006-b317-109af5668d36', 'success': False, 'funds_delta': 0, 'bankrupt': False}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench task inspect --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9, yc-bench company status, yc-bench market browse --required-prestige-lte 1 --reward-min-cents 3500000",
      "commands_executed": [
        "yc-bench task inspect --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n  \\\"title\\\": \\\"Build Multi-GPU Training Infra with DeepSpeed [TRAINING-49]\\\",\\n  \\\"description\\\": \\\"Set up distributed training using DeepSpeed ZeRO Stage 3 across an 8-node GPU cluster with checkpoint sharding and fault-tolerant resumption.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5371409,\\n  \\\"reward_prestige_delta\\\": 0.657,\\n  \\\"skill_boost_pct\\\": 0",
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 29516400,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.0,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.0,\\n    \\\"hardware\\\": 1.0,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.0,\\n    \\\"training\\\": 1.0\\n  },\\n  \\\"sim_time\\\": \\\"2025-01-22T12:41:18.705724\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 1,\\n    \\\"planned\\\"",
        "yc-bench market browse --required-prestige-lte 1 --reward-min-cents 3500000 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 6,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n      \\\"title\\\": \\\"Migrate Inference Workloads to Serverless GPU [SYSTEM-13]\\\",\\n      \\\"description\\\": \\\"Evaluate and migrate bursty inference workloads to serverless GPU providers, benchmarking cold-start latency against always-on instances.\\\",\\n      \\\"required_prestige\\\": 1,\\n      \\\"reward_funds_cents\\\": 5095985,"
      ]
    },
    {
      "turn": 27,
      "timestamp": "2026-02-26T18:38:26.255528+00:00",
      "user_input": "## Turn 27 \u2014 Simulation State\n- **Current time**: 2025-01-22T12:41:18.705724\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 1\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 2 tool call(s): yc-bench task accept --task-id e5a5e729-f129-4b11-af43-960586db8c66, yc-bench task accept --task-id 3de146cc-386f-47b1-b450-754e60547b98",
      "commands_executed": [
        "yc-bench task accept --task-id e5a5e729-f129-4b11-af43-960586db8c66 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-01-22T12:41:18.705724\\\",\\n  \\\"deadline\\\": \\\"2025-02-05T12:41:18.705724\\\",\\n  \\\"replacement_task_id\\\": \\\"5528b2f8-793c-4e17-87ac-ff4db4d33802\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id e5a5e729-f129-4b11-af43-960586db8c66\"}",
        "yc-bench task accept --task-id 3de146cc-386f-47b1-b450-754e60547b98 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-01-22T12:41:18.705724\\\",\\n  \\\"deadline\\\": \\\"2025-01-31T12:41:18.705724\\\",\\n  \\\"replacement_task_id\\\": \\\"614127e6-87e7-4f81-80d0-5db6c326a994\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 3de146cc-386f-47b1-b450-754e60547b98\"}"
      ]
    },
    {
      "turn": 28,
      "timestamp": "2026-02-26T18:38:33.124446+00:00",
      "user_input": "## Turn 28 \u2014 Simulation State\n- **Current time**: 2025-01-22T12:41:18.705724\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 1\n- **Planned tasks**: 2\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 5 tool call(s): yc-bench task assign --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 --employee-id 69459583-5913-4a38-9520-55d6517b8108, yc-bench task assign --task-id 3de146cc-386f-47b1-b450-754e60547b98 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94, yc-bench task assign --task-id 3de146cc-386f-47b1-b450-754e60547b98 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1, yc-bench task assign --task-id e5a5e729-f129-4b11-af43-960586db8c66 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67, yc-bench task assign --task-id e5a5e729-f129-4b11-af43-960586db8c66 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce",
      "commands_executed": [
        "yc-bench task assign --task-id 5f81ebb8-3320-4e3a-b1cf-2000b559e9b9 --employee-id 69459583-5913-4a38-9520-55d6517b8108 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-10T15:05:11.028757\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-22T12:41:18.705724\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"d42fe995-4c6a-4266-978d-ae9c9f1948ce\\\",\\n     ",
        "yc-bench task assign --task-id 3de146cc-386f-47b1-b450-754e60547b98 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-22T12:41:18.705724\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id 3de146cc-386f-47b1-b450-754e60547b98 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94\"}",
        "yc-bench task assign --task-id 3de146cc-386f-47b1-b450-754e60547b98 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-22T12:41:18.705724\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-22T12:41:18.705724\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --",
        "yc-bench task assign --task-id e5a5e729-f129-4b11-af43-960586db8c66 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-22T12:41:18.705724\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id e5a5e729-f129-4b11-af43-960586db8c66 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67\"}",
        "yc-bench task assign --task-id e5a5e729-f129-4b11-af43-960586db8c66 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-22T12:41:18.705724\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"d42fe995-4c6a-4266-978d-ae9c9f1948ce\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-22T12:41:18.705724\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --"
      ]
    },
    {
      "turn": 29,
      "timestamp": "2026-02-26T18:38:37.495535+00:00",
      "user_input": "## Turn 29 \u2014 Simulation State\n- **Current time**: 2025-01-22T12:41:18.705724\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 1\n- **Planned tasks**: 2\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 2 tool call(s): yc-bench task dispatch --task-id 3de146cc-386f-47b1-b450-754e60547b98, yc-bench task dispatch --task-id e5a5e729-f129-4b11-af43-960586db8c66",
      "commands_executed": [
        "yc-bench task dispatch --task-id 3de146cc-386f-47b1-b450-754e60547b98 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 2\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id 3de146cc-386f-47b1-b450-754e60547b98\"}",
        "yc-bench task dispatch --task-id e5a5e729-f129-4b11-af43-960586db8c66 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 2\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id e5a5e729-f129-4b11-af43-960586db8c66\"}"
      ]
    },
    {
      "turn": 30,
      "timestamp": "2026-02-26T18:38:39.777651+00:00",
      "user_input": "## Turn 30 \u2014 Simulation State\n- **Current time**: 2025-01-22T12:41:18.705724\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-22T12:41:18.705724\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-23T16:05:46.985509\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_completed\\\",\\n      \\\"task_id\\\": \\\"5f81ebb8-3320-4e3a-b1cf-2000b559e9b9\\\",\\n      \\\"success\\\": false,\\n      \\\"funds_delta\\\": 0,\\n      \\\"bankrupt\\\": false\\n    }\\"
      ]
    },
    {
      "turn": 31,
      "timestamp": "2026-02-26T18:38:43.710217+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-22T12:41:18.705724\n- new_sim_time: 2025-01-23T16:05:46.985509\n- checkpoint_event_type: task_completed\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_completed', 'task_id': '5f81ebb8-3320-4e3a-b1cf-2000b559e9b9', 'success': False, 'funds_delta': 0, 'bankrupt': False}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 4 tool call(s): yc-bench company status, yc-bench task inspect --task-id 3de146cc-386f-47b1-b450-754e60547b98, yc-bench task inspect --task-id e5a5e729-f129-4b11-af43-960586db8c66, yc-bench market browse --required-prestige-lte 1 --reward-min-cents 4000000",
      "commands_executed": [
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 29516400,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.0,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.0,\\n    \\\"hardware\\\": 1.0,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.0,\\n    \\\"training\\\": 1.0\\n  },\\n  \\\"sim_time\\\": \\\"2025-01-23T16:05:46.985509\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 2,\\n    \\\"planned\\\"",
        "yc-bench task inspect --task-id 3de146cc-386f-47b1-b450-754e60547b98 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n  \\\"title\\\": \\\"Develop Novel Chunking Strategies for Technical RAG [RESEARCH-73]\\\",\\n  \\\"description\\\": \\\"Research and benchmark alternative document chunking methods\\\\u2014semantic, AST-aware, sliding window\\\\u2014specifically for API documentation and code repositories.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5080860,\\n  \\\"reward_prestige_delta\\\": 0",
        "yc-bench task inspect --task-id e5a5e729-f129-4b11-af43-960586db8c66 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n  \\\"title\\\": \\\"Migrate Inference Workloads to Serverless GPU [SYSTEM-13]\\\",\\n  \\\"description\\\": \\\"Evaluate and migrate bursty inference workloads to serverless GPU providers, benchmarking cold-start latency against always-on instances.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5095985,\\n  \\\"reward_prestige_delta\\\": 0.505,\\n  \\\"skill_boost_pct\\\": 0.029,\\",
        "yc-bench market browse --required-prestige-lte 1 --reward-min-cents 4000000 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 3,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n      \\\"title\\\": \\\"Deploy Observability Stack for AI Workloads [SYSTEM-1]\\\",\\n      \\\"description\\\": \\\"Stand up Grafana, Prometheus, and OpenTelemetry with custom dashboards tracking GPU utilization, token throughput, time-to-first-token, and per-request cost.\\\",\\n      \\\"required_prestige\\\": 1,\\n      \\\"reward_funds_"
      ]
    },
    {
      "turn": 32,
      "timestamp": "2026-02-26T18:38:47.199051+00:00",
      "user_input": "## Turn 32 \u2014 Simulation State\n- **Current time**: 2025-01-23T16:05:46.985509\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench task accept --task-id 55770134-b7ba-4332-8b35-e676883e2cbe",
      "commands_executed": [
        "yc-bench task accept --task-id 55770134-b7ba-4332-8b35-e676883e2cbe -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"55770134-b7ba-4332-8b35-e676883e2cbe\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-01-23T16:05:46.985509\\\",\\n  \\\"deadline\\\": \\\"2025-02-03T16:05:46.985509\\\",\\n  \\\"replacement_task_id\\\": \\\"de10fcdc-ed1b-439f-b5ec-bebae91c42f7\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 55770134-b7ba-4332-8b35-e676883e2cbe\"}"
      ]
    },
    {
      "turn": 33,
      "timestamp": "2026-02-26T18:38:50.268116+00:00",
      "user_input": "## Turn 33 \u2014 Simulation State\n- **Current time**: 2025-01-23T16:05:46.985509\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 1\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 2 tool call(s): yc-bench employee list, yc-bench task inspect --task-id 55770134-b7ba-4332-8b35-e676883e2cbe",
      "commands_executed": [
        "yc-bench employee list -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"count\\\": 5,\\n  \\\"employees\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"name\\\": \\\"Emp_1\\\",\\n      \\\"salary_cents\\\": 747922,\\n      \\\"work_hours_per_day\\\": 9.0,\\n      \\\"skills\\\": {\\n        \\\"backend\\\": 6.0519,\\n        \\\"data\\\": 8.2887,\\n        \\\"frontend\\\": 6.7721,\\n        \\\"hardware\\\": 6.2187,\\n        \\\"research\\\": 4.6753,\\n        \\\"system\\\": 7.0001,\\n        \\\"training\\\": 7.6368\\n      },\\n      \\\"ac",
        "yc-bench task inspect --task-id 55770134-b7ba-4332-8b35-e676883e2cbe -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"55770134-b7ba-4332-8b35-e676883e2cbe\\\",\\n  \\\"title\\\": \\\"Implement Dynamic Batching for Inference Requests [HARDWARE-3]\\\",\\n  \\\"description\\\": \\\"Build a request batching layer that groups incoming requests by sequence length and priority, maximizing GPU utilization within per-request latency SLAs.\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4108322,\\n  \\\"reward_prestige_delta\\\": 0.036,\\n  \\\"skil"
      ]
    },
    {
      "turn": 34,
      "timestamp": "2026-02-26T18:38:53.400779+00:00",
      "user_input": "## Turn 34 \u2014 Simulation State\n- **Current time**: 2025-01-23T16:05:46.985509\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 1\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 2 tool call(s): yc-bench task assign --task-id 55770134-b7ba-4332-8b35-e676883e2cbe --employee-id 69459583-5913-4a38-9520-55d6517b8108, yc-bench task dispatch --task-id 55770134-b7ba-4332-8b35-e676883e2cbe",
      "commands_executed": [
        "yc-bench task assign --task-id 55770134-b7ba-4332-8b35-e676883e2cbe --employee-id 69459583-5913-4a38-9520-55d6517b8108 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"55770134-b7ba-4332-8b35-e676883e2cbe\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-01-23T16:05:46.985509\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id 55770134-b7ba-4332-8b35-e676883e2cbe --employee-id 69459583-5913-4a38-9520-55d6517b8108\"}",
        "yc-bench task dispatch --task-id 55770134-b7ba-4332-8b35-e676883e2cbe -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"55770134-b7ba-4332-8b35-e676883e2cbe\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 1\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id 55770134-b7ba-4332-8b35-e676883e2cbe\"}"
      ]
    },
    {
      "turn": 35,
      "timestamp": "2026-02-26T18:38:55.886075+00:00",
      "user_input": "## Turn 35 \u2014 Simulation State\n- **Current time**: 2025-01-23T16:05:46.985509\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-23T16:05:46.985509\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-29T11:46:08.769891\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 36,
      "timestamp": "2026-02-26T18:39:01.454405+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-23T16:05:46.985509\n- new_sim_time: 2025-01-29T11:46:08.769891\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': '3de146cc-386f-47b1-b450-754e60547b98', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 4 tool call(s): yc-bench task inspect --task-id 3de146cc-386f-47b1-b450-754e60547b98, yc-bench task inspect --task-id e5a5e729-f129-4b11-af43-960586db8c66, yc-bench task inspect --task-id 55770134-b7ba-4332-8b35-e676883e2cbe, yc-bench company status",
      "commands_executed": [
        "yc-bench task inspect --task-id 3de146cc-386f-47b1-b450-754e60547b98 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n  \\\"title\\\": \\\"Develop Novel Chunking Strategies for Technical RAG [RESEARCH-73]\\\",\\n  \\\"description\\\": \\\"Research and benchmark alternative document chunking methods\\\\u2014semantic, AST-aware, sliding window\\\\u2014specifically for API documentation and code repositories.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5080860,\\n  \\\"reward_prestige_delta\\\": 0",
        "yc-bench task inspect --task-id e5a5e729-f129-4b11-af43-960586db8c66 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n  \\\"title\\\": \\\"Migrate Inference Workloads to Serverless GPU [SYSTEM-13]\\\",\\n  \\\"description\\\": \\\"Evaluate and migrate bursty inference workloads to serverless GPU providers, benchmarking cold-start latency against always-on instances.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5095985,\\n  \\\"reward_prestige_delta\\\": 0.505,\\n  \\\"skill_boost_pct\\\": 0.029,\\",
        "yc-bench task inspect --task-id 55770134-b7ba-4332-8b35-e676883e2cbe -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"55770134-b7ba-4332-8b35-e676883e2cbe\\\",\\n  \\\"title\\\": \\\"Implement Dynamic Batching for Inference Requests [HARDWARE-3]\\\",\\n  \\\"description\\\": \\\"Build a request batching layer that groups incoming requests by sequence length and priority, maximizing GPU utilization within per-request latency SLAs.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4108322,\\n  \\\"reward_prestige_delta\\\": 0.036,\\n  \\\"skill",
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 29516400,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.0,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.0,\\n    \\\"hardware\\\": 1.0,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.0,\\n    \\\"training\\\": 1.0\\n  },\\n  \\\"sim_time\\\": \\\"2025-01-29T11:46:08.769891\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 3,\\n    \\\"planned\\\""
      ]
    },
    {
      "turn": 37,
      "timestamp": "2026-02-26T18:39:02.997855+00:00",
      "user_input": "## Turn 37 \u2014 Simulation State\n- **Current time**: 2025-01-29T11:46:08.769891\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-29T11:46:08.769891\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-30T09:11:04.043463\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 38,
      "timestamp": "2026-02-26T18:39:07.440249+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-29T11:46:08.769891\n- new_sim_time: 2025-01-30T09:11:04.043463\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': 'e5a5e729-f129-4b11-af43-960586db8c66', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 4 tool call(s): yc-bench task inspect --task-id 3de146cc-386f-47b1-b450-754e60547b98, yc-bench task inspect --task-id e5a5e729-f129-4b11-af43-960586db8c66, yc-bench task inspect --task-id 55770134-b7ba-4332-8b35-e676883e2cbe, yc-bench market browse --required-prestige-lte 1 --reward-min-cents 4500000",
      "commands_executed": [
        "yc-bench task inspect --task-id 3de146cc-386f-47b1-b450-754e60547b98 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n  \\\"title\\\": \\\"Develop Novel Chunking Strategies for Technical RAG [RESEARCH-73]\\\",\\n  \\\"description\\\": \\\"Research and benchmark alternative document chunking methods\\\\u2014semantic, AST-aware, sliding window\\\\u2014specifically for API documentation and code repositories.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5080860,\\n  \\\"reward_prestige_delta\\\": 0",
        "yc-bench task inspect --task-id e5a5e729-f129-4b11-af43-960586db8c66 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n  \\\"title\\\": \\\"Migrate Inference Workloads to Serverless GPU [SYSTEM-13]\\\",\\n  \\\"description\\\": \\\"Evaluate and migrate bursty inference workloads to serverless GPU providers, benchmarking cold-start latency against always-on instances.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5095985,\\n  \\\"reward_prestige_delta\\\": 0.505,\\n  \\\"skill_boost_pct\\\": 0.029,\\",
        "yc-bench task inspect --task-id 55770134-b7ba-4332-8b35-e676883e2cbe -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"55770134-b7ba-4332-8b35-e676883e2cbe\\\",\\n  \\\"title\\\": \\\"Implement Dynamic Batching for Inference Requests [HARDWARE-3]\\\",\\n  \\\"description\\\": \\\"Build a request batching layer that groups incoming requests by sequence length and priority, maximizing GPU utilization within per-request latency SLAs.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4108322,\\n  \\\"reward_prestige_delta\\\": 0.036,\\n  \\\"skill",
        "yc-bench market browse --required-prestige-lte 1 --reward-min-cents 4500000 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 1,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n      \\\"title\\\": \\\"Deploy Observability Stack for AI Workloads [SYSTEM-1]\\\",\\n      \\\"description\\\": \\\"Stand up Grafana, Prometheus, and OpenTelemetry with custom dashboards tracking GPU utilization, token throughput, time-to-first-token, and per-request cost.\\\",\\n      \\\"required_prestige\\\": 1,\\n      \\\"reward_funds_"
      ]
    },
    {
      "turn": 39,
      "timestamp": "2026-02-26T18:39:09.056125+00:00",
      "user_input": "## Turn 39 \u2014 Simulation State\n- **Current time**: 2025-01-30T09:11:04.043463\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-30T09:11:04.043463\\\",\\n  \\\"new_sim_time\\\": \\\"2025-01-31T15:26:49.605668\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"55770134-b7ba-4332-8b35-e676883e2cbe\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 40,
      "timestamp": "2026-02-26T18:39:12.906445+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-30T09:11:04.043463\n- new_sim_time: 2025-01-31T15:26:49.605668\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': '55770134-b7ba-4332-8b35-e676883e2cbe', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 4 tool call(s): yc-bench task inspect --task-id 3de146cc-386f-47b1-b450-754e60547b98, yc-bench task inspect --task-id e5a5e729-f129-4b11-af43-960586db8c66, yc-bench task inspect --task-id 55770134-b7ba-4332-8b35-e676883e2cbe, yc-bench company status",
      "commands_executed": [
        "yc-bench task inspect --task-id 3de146cc-386f-47b1-b450-754e60547b98 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n  \\\"title\\\": \\\"Develop Novel Chunking Strategies for Technical RAG [RESEARCH-73]\\\",\\n  \\\"description\\\": \\\"Research and benchmark alternative document chunking methods\\\\u2014semantic, AST-aware, sliding window\\\\u2014specifically for API documentation and code repositories.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5080860,\\n  \\\"reward_prestige_delta\\\": 0",
        "yc-bench task inspect --task-id e5a5e729-f129-4b11-af43-960586db8c66 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"e5a5e729-f129-4b11-af43-960586db8c66\\\",\\n  \\\"title\\\": \\\"Migrate Inference Workloads to Serverless GPU [SYSTEM-13]\\\",\\n  \\\"description\\\": \\\"Evaluate and migrate bursty inference workloads to serverless GPU providers, benchmarking cold-start latency against always-on instances.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5095985,\\n  \\\"reward_prestige_delta\\\": 0.505,\\n  \\\"skill_boost_pct\\\": 0.029,\\",
        "yc-bench task inspect --task-id 55770134-b7ba-4332-8b35-e676883e2cbe -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"55770134-b7ba-4332-8b35-e676883e2cbe\\\",\\n  \\\"title\\\": \\\"Implement Dynamic Batching for Inference Requests [HARDWARE-3]\\\",\\n  \\\"description\\\": \\\"Build a request batching layer that groups incoming requests by sequence length and priority, maximizing GPU utilization within per-request latency SLAs.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4108322,\\n  \\\"reward_prestige_delta\\\": 0.036,\\n  \\\"skill",
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 29516400,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.0,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.0,\\n    \\\"hardware\\\": 1.0,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.0,\\n    \\\"training\\\": 1.0\\n  },\\n  \\\"sim_time\\\": \\\"2025-01-31T15:26:49.605668\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 3,\\n    \\\"planned\\\""
      ]
    },
    {
      "turn": 41,
      "timestamp": "2026-02-26T18:39:14.612274+00:00",
      "user_input": "## Turn 41 \u2014 Simulation State\n- **Current time**: 2025-01-31T15:26:49.605668\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $295,164.00 (29516400 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~7.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-01-31T15:26:49.605668\\\",\\n  \\\"new_sim_time\\\": \\\"2025-02-05T16:50:58.836576\\\",\\n  \\\"events_processed\\\": 3,\\n  \\\"payrolls_applied\\\": 1,\\n  \\\"balance_delta\\\": -3821395,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_completed\\\",\\n      \\\"task_id\\\": \\\"3de146cc-386f-47b1-b450-754e60547b98\\\",\\n      \\\"success\\\": false,\\n      \\\"funds_delta\\\": 0,\\n      \\\"bankrupt\\\": false\\"
      ]
    },
    {
      "turn": 42,
      "timestamp": "2026-02-26T18:39:17.439516+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-01-31T15:26:49.605668\n- new_sim_time: 2025-02-05T16:50:58.836576\n- checkpoint_event_type: task_completed\n- events_processed: 3\n- payrolls_applied: 1\n- balance_delta: -3821395\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 3\n- wake_event: {'type': 'task_completed', 'task_id': '3de146cc-386f-47b1-b450-754e60547b98', 'success': False, 'funds_delta': 0, 'bankrupt': False}\n- wake_event: {'type': 'task_completed', 'task_id': 'e5a5e729-f129-4b11-af43-960586db8c66', 'success': False, 'funds_delta': 0, 'bankrupt': False}\n- wake_event: {'type': 'task_completed', 'task_id': '55770134-b7ba-4332-8b35-e676883e2cbe', 'success': False, 'funds_delta': 0, 'bankrupt': False}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench company status, yc-bench market browse --required-prestige-lte 1 --reward-min-cents 3000000, yc-bench employee list",
      "commands_executed": [
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 25695005,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.0,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.0,\\n    \\\"hardware\\\": 1.0,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.0,\\n    \\\"training\\\": 1.0\\n  },\\n  \\\"sim_time\\\": \\\"2025-02-05T16:50:58.836576\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 0,\\n    \\\"planned\\\"",
        "yc-bench market browse --required-prestige-lte 1 --reward-min-cents 3000000 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 3,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n      \\\"title\\\": \\\"Deploy Observability Stack for AI Workloads [SYSTEM-1]\\\",\\n      \\\"description\\\": \\\"Stand up Grafana, Prometheus, and OpenTelemetry with custom dashboards tracking GPU utilization, token throughput, time-to-first-token, and per-request cost.\\\",\\n      \\\"required_prestige\\\": 1,\\n      \\\"reward_funds_",
        "yc-bench employee list -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"count\\\": 5,\\n  \\\"employees\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"name\\\": \\\"Emp_1\\\",\\n      \\\"salary_cents\\\": 747922,\\n      \\\"work_hours_per_day\\\": 9.0,\\n      \\\"skills\\\": {\\n        \\\"backend\\\": 6.0519,\\n        \\\"data\\\": 8.2887,\\n        \\\"frontend\\\": 6.7721,\\n        \\\"hardware\\\": 6.2187,\\n        \\\"research\\\": 4.6753,\\n        \\\"system\\\": 7.0001,\\n        \\\"training\\\": 7.6368\\n      },\\n      \\\"ac"
      ]
    },
    {
      "turn": 43,
      "timestamp": "2026-02-26T18:39:22.333698+00:00",
      "user_input": "## Turn 43 \u2014 Simulation State\n- **Current time**: 2025-02-05T16:50:58.836576\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $256,950.05 (25695005 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~6.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 3 tool call(s): yc-bench task accept --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b, yc-bench task accept --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859, yc-bench task accept --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d",
      "commands_executed": [
        "yc-bench task accept --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"4aa49431-0121-4ca6-a0b2-0392053cdc4b\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-02-05T16:50:58.836576\\\",\\n  \\\"deadline\\\": \\\"2025-02-18T16:50:58.836576\\\",\\n  \\\"replacement_task_id\\\": \\\"71a32dac-5d14-475d-877b-0bc843595080\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b\"}",
        "yc-bench task accept --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-02-05T16:50:58.836576\\\",\\n  \\\"deadline\\\": \\\"2025-02-19T16:50:58.836576\\\",\\n  \\\"replacement_task_id\\\": \\\"fca9188a-e552-4616-8aa9-545087424433\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859\"}",
        "yc-bench task accept --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"21c6438b-9d03-4a31-b555-db0ab8ae818d\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-02-05T16:50:58.836576\\\",\\n  \\\"deadline\\\": \\\"2025-02-18T16:50:58.836576\\\",\\n  \\\"replacement_task_id\\\": \\\"1bbefdbd-3b93-46a0-b05f-a5ecb3de2c76\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d\"}"
      ]
    },
    {
      "turn": 44,
      "timestamp": "2026-02-26T18:39:32.510778+00:00",
      "user_input": "## Turn 44 \u2014 Simulation State\n- **Current time**: 2025-02-05T16:50:58.836576\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $256,950.05 (25695005 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~6.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 3\n\n**ACTION REQUIRED**: You have planned tasks but none are dispatched. Assign employees and dispatch now, then call `yc-bench sim resume`.",
      "agent_output": "Executed 8 tool call(s): yc-bench task assign --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b --employee-id 69459583-5913-4a38-9520-55d6517b8108, yc-bench task assign --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1, yc-bench task assign --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67, yc-bench task assign --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce, yc-bench task assign --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94, yc-bench task dispatch --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b, yc-bench task dispatch --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859, yc-bench task dispatch --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d",
      "commands_executed": [
        "yc-bench task assign --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b --employee-id 69459583-5913-4a38-9520-55d6517b8108 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"4aa49431-0121-4ca6-a0b2-0392053cdc4b\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-05T16:50:58.836576\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b --employee-id 69459583-5913-4a38-9520-55d6517b8108\"}",
        "yc-bench task assign --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"4aa49431-0121-4ca6-a0b2-0392053cdc4b\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-05T16:50:58.836576\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-05T16:50:58.836576\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --",
        "yc-bench task assign --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-05T16:50:58.836576\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67\"}",
        "yc-bench task assign --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-05T16:50:58.836576\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"d42fe995-4c6a-4266-978d-ae9c9f1948ce\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-05T16:50:58.836576\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --",
        "yc-bench task assign --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"21c6438b-9d03-4a31-b555-db0ab8ae818d\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-05T16:50:58.836576\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94\"}",
        "yc-bench task dispatch --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"4aa49431-0121-4ca6-a0b2-0392053cdc4b\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 2\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b\"}",
        "yc-bench task dispatch --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 2\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859\"}",
        "yc-bench task dispatch --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"21c6438b-9d03-4a31-b555-db0ab8ae818d\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 1\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d\"}"
      ]
    },
    {
      "turn": 45,
      "timestamp": "2026-02-26T18:39:34.987211+00:00",
      "user_input": "## Turn 45 \u2014 Simulation State\n- **Current time**: 2025-02-05T16:50:58.836576\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $256,950.05 (25695005 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~6.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-02-05T16:50:58.836576\\\",\\n  \\\"new_sim_time\\\": \\\"2025-02-11T12:44:16.771830\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"4aa49431-0121-4ca6-a0b2-0392053cdc4b\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 46,
      "timestamp": "2026-02-26T18:39:40.514229+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-02-05T16:50:58.836576\n- new_sim_time: 2025-02-11T12:44:16.771830\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': '4aa49431-0121-4ca6-a0b2-0392053cdc4b', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 4 tool call(s): yc-bench task inspect --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b, yc-bench task inspect --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859, yc-bench task inspect --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d, yc-bench company status",
      "commands_executed": [
        "yc-bench task inspect --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"4aa49431-0121-4ca6-a0b2-0392053cdc4b\\\",\\n  \\\"title\\\": \\\"Implement Blue-Green Deployment for LLM Serving [SYSTEM-123]\\\",\\n  \\\"description\\\": \\\"Set up zero-downtime model swaps for a vLLM serving cluster with automated rollback triggered by latency and error-rate thresholds.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 3915958,\\n  \\\"reward_prestige_delta\\\": 0.846,\\n  \\\"skill_boost_pct\\\": 0.0578,\\n ",
        "yc-bench task inspect --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n  \\\"title\\\": \\\"Deploy Observability Stack for AI Workloads [SYSTEM-1]\\\",\\n  \\\"description\\\": \\\"Stand up Grafana, Prometheus, and OpenTelemetry with custom dashboards tracking GPU utilization, token throughput, time-to-first-token, and per-request cost.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5020695,\\n  \\\"reward_prestige_delta\\\": 0.143,\\n  \\\"skill_boo",
        "yc-bench task inspect --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"21c6438b-9d03-4a31-b555-db0ab8ae818d\\\",\\n  \\\"title\\\": \\\"Build Multi-Tenant LLM Gateway with Rate Limiting [BACKEND-28]\\\",\\n  \\\"description\\\": \\\"Implement an API gateway that proxies requests to multiple LLM providers, enforces per-tenant rate limits, tracks usage, and handles automatic failover.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4230213,\\n  \\\"reward_prestige_delta\\\": 0.039,\\n  \\\"skill_",
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 25695005,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.0,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.0,\\n    \\\"hardware\\\": 1.0,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.0,\\n    \\\"training\\\": 1.0\\n  },\\n  \\\"sim_time\\\": \\\"2025-02-11T12:44:16.771830\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 3,\\n    \\\"planned\\\""
      ]
    },
    {
      "turn": 47,
      "timestamp": "2026-02-26T18:39:43.831809+00:00",
      "user_input": "## Turn 47 \u2014 Simulation State\n- **Current time**: 2025-02-11T12:44:16.771830\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $256,950.05 (25695005 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~6.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 2 tool call(s): yc-bench task assign --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1, yc-bench task assign --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d --employee-id 69459583-5913-4a38-9520-55d6517b8108",
      "commands_executed": [
        "yc-bench task assign --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"21c6438b-9d03-4a31-b555-db0ab8ae818d\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-05T16:50:58.836576\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-11T12:44:16.771830\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --t",
        "yc-bench task assign --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d --employee-id 69459583-5913-4a38-9520-55d6517b8108 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"21c6438b-9d03-4a31-b555-db0ab8ae818d\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-05T16:50:58.836576\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-11T12:44:16.771830\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n     "
      ]
    },
    {
      "turn": 48,
      "timestamp": "2026-02-26T18:39:46.902051+00:00",
      "user_input": "## Turn 48 \u2014 Simulation State\n- **Current time**: 2025-02-11T12:44:16.771830\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $256,950.05 (25695005 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~6.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-02-11T12:44:16.771830\\\",\\n  \\\"new_sim_time\\\": \\\"2025-02-11T17:16:22.457974\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"21c6438b-9d03-4a31-b555-db0ab8ae818d\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 49,
      "timestamp": "2026-02-26T18:39:51.859708+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-02-11T12:44:16.771830\n- new_sim_time: 2025-02-11T17:16:22.457974\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': '21c6438b-9d03-4a31-b555-db0ab8ae818d', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench task inspect --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b, yc-bench task inspect --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859, yc-bench task inspect --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d",
      "commands_executed": [
        "yc-bench task inspect --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"4aa49431-0121-4ca6-a0b2-0392053cdc4b\\\",\\n  \\\"title\\\": \\\"Implement Blue-Green Deployment for LLM Serving [SYSTEM-123]\\\",\\n  \\\"description\\\": \\\"Set up zero-downtime model swaps for a vLLM serving cluster with automated rollback triggered by latency and error-rate thresholds.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 3915958,\\n  \\\"reward_prestige_delta\\\": 0.846,\\n  \\\"skill_boost_pct\\\": 0.0578,\\n ",
        "yc-bench task inspect --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n  \\\"title\\\": \\\"Deploy Observability Stack for AI Workloads [SYSTEM-1]\\\",\\n  \\\"description\\\": \\\"Stand up Grafana, Prometheus, and OpenTelemetry with custom dashboards tracking GPU utilization, token throughput, time-to-first-token, and per-request cost.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5020695,\\n  \\\"reward_prestige_delta\\\": 0.143,\\n  \\\"skill_boo",
        "yc-bench task inspect --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"21c6438b-9d03-4a31-b555-db0ab8ae818d\\\",\\n  \\\"title\\\": \\\"Build Multi-Tenant LLM Gateway with Rate Limiting [BACKEND-28]\\\",\\n  \\\"description\\\": \\\"Implement an API gateway that proxies requests to multiple LLM providers, enforces per-tenant rate limits, tracks usage, and handles automatic failover.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4230213,\\n  \\\"reward_prestige_delta\\\": 0.039,\\n  \\\"skill_"
      ]
    },
    {
      "turn": 50,
      "timestamp": "2026-02-26T18:39:54.727654+00:00",
      "user_input": "## Turn 50 \u2014 Simulation State\n- **Current time**: 2025-02-11T17:16:22.457974\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $256,950.05 (25695005 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~6.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-02-11T17:16:22.457974\\\",\\n  \\\"new_sim_time\\\": \\\"2025-02-13T16:07:55.085503\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 51,
      "timestamp": "2026-02-26T18:39:58.562625+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-02-11T17:16:22.457974\n- new_sim_time: 2025-02-13T16:07:55.085503\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': 'ba14e1f6-1955-46bb-8f99-e8268f66b859', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench task inspect --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b, yc-bench task inspect --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859, yc-bench task inspect --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d",
      "commands_executed": [
        "yc-bench task inspect --task-id 4aa49431-0121-4ca6-a0b2-0392053cdc4b -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"4aa49431-0121-4ca6-a0b2-0392053cdc4b\\\",\\n  \\\"title\\\": \\\"Implement Blue-Green Deployment for LLM Serving [SYSTEM-123]\\\",\\n  \\\"description\\\": \\\"Set up zero-downtime model swaps for a vLLM serving cluster with automated rollback triggered by latency and error-rate thresholds.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 3915958,\\n  \\\"reward_prestige_delta\\\": 0.846,\\n  \\\"skill_boost_pct\\\": 0.0578,\\n ",
        "yc-bench task inspect --task-id ba14e1f6-1955-46bb-8f99-e8268f66b859 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"ba14e1f6-1955-46bb-8f99-e8268f66b859\\\",\\n  \\\"title\\\": \\\"Deploy Observability Stack for AI Workloads [SYSTEM-1]\\\",\\n  \\\"description\\\": \\\"Stand up Grafana, Prometheus, and OpenTelemetry with custom dashboards tracking GPU utilization, token throughput, time-to-first-token, and per-request cost.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 5020695,\\n  \\\"reward_prestige_delta\\\": 0.143,\\n  \\\"skill_boo",
        "yc-bench task inspect --task-id 21c6438b-9d03-4a31-b555-db0ab8ae818d -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"21c6438b-9d03-4a31-b555-db0ab8ae818d\\\",\\n  \\\"title\\\": \\\"Build Multi-Tenant LLM Gateway with Rate Limiting [BACKEND-28]\\\",\\n  \\\"description\\\": \\\"Implement an API gateway that proxies requests to multiple LLM providers, enforces per-tenant rate limits, tracks usage, and handles automatic failover.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 4230213,\\n  \\\"reward_prestige_delta\\\": 0.039,\\n  \\\"skill_"
      ]
    },
    {
      "turn": 52,
      "timestamp": "2026-02-26T18:40:00.232672+00:00",
      "user_input": "## Turn 52 \u2014 Simulation State\n- **Current time**: 2025-02-13T16:07:55.085503\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $256,950.05 (25695005 cents)\n- **Monthly payroll**: $38,213.95\n- **Runway**: ~6.7 months\n- **Employees**: 5\n- **Active tasks**: 3\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-02-13T16:07:55.085503\\\",\\n  \\\"new_sim_time\\\": \\\"2025-02-17T10:34:08.637053\\\",\\n  \\\"events_processed\\\": 3,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 13166866,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_completed\\\",\\n      \\\"task_id\\\": \\\"4aa49431-0121-4ca6-a0b2-0392053cdc4b\\\",\\n      \\\"success\\\": true,\\n      \\\"funds_delta\\\": 3915958,\\n      \\\"bankrupt\\\": f"
      ]
    },
    {
      "turn": 53,
      "timestamp": "2026-02-26T18:40:05.621203+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-02-13T16:07:55.085503\n- new_sim_time: 2025-02-17T10:34:08.637053\n- checkpoint_event_type: task_completed\n- events_processed: 3\n- payrolls_applied: 0\n- balance_delta: 13166866\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 3\n- wake_event: {'type': 'task_completed', 'task_id': '4aa49431-0121-4ca6-a0b2-0392053cdc4b', 'success': True, 'funds_delta': 3915958, 'bankrupt': False}\n- wake_event: {'type': 'task_completed', 'task_id': 'ba14e1f6-1955-46bb-8f99-e8268f66b859', 'success': True, 'funds_delta': 5020695, 'bankrupt': False}\n- wake_event: {'type': 'task_completed', 'task_id': '21c6438b-9d03-4a31-b555-db0ab8ae818d', 'success': True, 'funds_delta': 4230213, 'bankrupt': False}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench company status, yc-bench market browse --reward-min-cents 4500000 --limit 50, yc-bench employee list",
      "commands_executed": [
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 38861871,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.039,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.039,\\n    \\\"hardware\\\": 1.846,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.989,\\n    \\\"training\\\": 1.143\\n  },\\n  \\\"sim_time\\\": \\\"2025-02-17T10:34:08.637053\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 0,\\n    \\",
        "yc-bench market browse --reward-min-cents 4500000 --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 126,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"10adb1cd-cd53-4ad9-b869-632cf52ab403\\\",\\n      \\\"title\\\": \\\"Build Synthetic Data Pipeline for Rare Edge Cases [DATA-47]\\\",\\n      \\\"description\\\": \\\"Create a system that uses frontier LLMs to generate realistic synthetic examples for underrepresented categories in a classification dataset.\\\",\\n      \\\"required_prestige\\\": 6,\\n      \\\"reward_funds_cents\\\": ",
        "yc-bench employee list -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"count\\\": 5,\\n  \\\"employees\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"name\\\": \\\"Emp_1\\\",\\n      \\\"salary_cents\\\": 762955,\\n      \\\"work_hours_per_day\\\": 9.0,\\n      \\\"skills\\\": {\\n        \\\"backend\\\": 7.1842,\\n        \\\"data\\\": 8.2887,\\n        \\\"frontend\\\": 8.0392,\\n        \\\"hardware\\\": 6.5781,\\n        \\\"research\\\": 4.6753,\\n        \\\"system\\\": 7.4047,\\n        \\\"training\\\": 7.6368\\n      },\\n      \\\"ac"
      ]
    },
    {
      "turn": 54,
      "timestamp": "2026-02-26T18:40:10.705967+00:00",
      "user_input": "## Turn 54 \u2014 Simulation State\n- **Current time**: 2025-02-17T10:34:08.637053\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 3 tool call(s): yc-bench task accept --task-id 310cd08e-5920-466a-b0ba-5405df239703, yc-bench task accept --task-id de640013-607d-40ac-ab2e-b56da00e4ad0, yc-bench task accept --task-id 505866b3-4392-49c7-9f11-67d71e8c034d",
      "commands_executed": [
        "yc-bench task accept --task-id 310cd08e-5920-466a-b0ba-5405df239703 -> {\"ok\": false, \"exit_code\": 1, \"stdout\": \"{\\\"error\\\": \\\"Company max prestige (1.989) does not meet task requirement (2).\\\"}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 310cd08e-5920-466a-b0ba-5405df239703\"}",
        "yc-bench task accept --task-id de640013-607d-40ac-ab2e-b56da00e4ad0 -> {\"ok\": false, \"exit_code\": 1, \"stdout\": \"{\\\"error\\\": \\\"Company max prestige (1.989) does not meet task requirement (2).\\\"}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id de640013-607d-40ac-ab2e-b56da00e4ad0\"}",
        "yc-bench task accept --task-id 505866b3-4392-49c7-9f11-67d71e8c034d -> {\"ok\": false, \"exit_code\": 1, \"stdout\": \"{\\\"error\\\": \\\"Company max prestige (1.989) does not meet task requirement (3).\\\"}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 505866b3-4392-49c7-9f11-67d71e8c034d\"}"
      ]
    },
    {
      "turn": 55,
      "timestamp": "2026-02-26T18:40:14.508038+00:00",
      "user_input": "## Turn 55 \u2014 Simulation State\n- **Current time**: 2025-02-17T10:34:08.637053\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 1 tool call(s): yc-bench market browse --required-prestige-lte 1.99 --reward-min-cents 4000000 --limit 50",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 1.99 --reward-min-cents 4000000 --limit 50 -> {\"ok\": false, \"exit_code\": 2, \"stdout\": \"\", \"stderr\": \"Usage: yc-bench market browse [OPTIONS]\\nTry 'yc-bench market browse --help' for help.\\n\\u256d\\u2500 Error \\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u2500\\u"
      ]
    },
    {
      "turn": 56,
      "timestamp": "2026-02-26T18:40:16.585779+00:00",
      "user_input": "## Turn 56 \u2014 Simulation State\n- **Current time**: 2025-02-17T10:34:08.637053\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 1 tool call(s): yc-bench market browse --required-prestige-lte 1 --reward-min-cents 4000000 --limit 50",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 1 --reward-min-cents 4000000 --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 0,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": []\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench market browse --required-prestige-lte 1 --reward-min-cents 4000000 --limit 50\"}"
      ]
    },
    {
      "turn": 57,
      "timestamp": "2026-02-26T18:40:18.838588+00:00",
      "user_input": "## Turn 57 \u2014 Simulation State\n- **Current time**: 2025-02-17T10:34:08.637053\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 1 tool call(s): yc-bench market browse --required-prestige-lte 1 --limit 50",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 1 --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 2,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n      \\\"title\\\": \\\"Fine-Tune Llama-3 8B for Domain-Specific Support [TRAINING-18]\\\",\\n      \\\"description\\\": \\\"Run supervised fine-tuning on 50K curated customer support conversations using QLoRA, targeting 15% accuracy improvement over the base model.\\\",\\n      \\\"required_prestige\\\": 1,\\n      \\\"reward_funds_cents\\\":"
      ]
    },
    {
      "turn": 58,
      "timestamp": "2026-02-26T18:40:21.657949+00:00",
      "user_input": "## Turn 58 \u2014 Simulation State\n- **Current time**: 2025-02-17T10:34:08.637053\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 2 tool call(s): yc-bench task accept --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861, yc-bench task accept --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969",
      "commands_executed": [
        "yc-bench task accept --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-02-17T10:34:08.637053\\\",\\n  \\\"deadline\\\": \\\"2025-03-03T10:34:08.637053\\\",\\n  \\\"replacement_task_id\\\": \\\"9324320c-21fc-41ca-9f59-c0946328ceb1\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861\"}",
        "yc-bench task accept --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"296eee71-5f76-4a9e-8973-dc5eae0ca969\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"accepted_at\\\": \\\"2025-02-17T10:34:08.637053\\\",\\n  \\\"deadline\\\": \\\"2025-02-26T10:34:08.637053\\\",\\n  \\\"replacement_task_id\\\": \\\"dab443c1-be64-47fb-b22d-f56497c8e3c9\\\"\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969\"}"
      ]
    },
    {
      "turn": 59,
      "timestamp": "2026-02-26T18:40:30.494085+00:00",
      "user_input": "## Turn 59 \u2014 Simulation State\n- **Current time**: 2025-02-17T10:34:08.637053\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 2\n\n**ACTION REQUIRED**: You have planned tasks but none are dispatched. Assign employees and dispatch now, then call `yc-bench sim resume`.",
      "agent_output": "Executed 7 tool call(s): yc-bench task assign --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 --employee-id 69459583-5913-4a38-9520-55d6517b8108, yc-bench task assign --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1, yc-bench task assign --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67, yc-bench task assign --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94, yc-bench task assign --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce, yc-bench task dispatch --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861, yc-bench task dispatch --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969",
      "commands_executed": [
        "yc-bench task assign --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 --employee-id 69459583-5913-4a38-9520-55d6517b8108 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 --employee-id 69459583-5913-4a38-9520-55d6517b8108\"}",
        "yc-bench task assign --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --",
        "yc-bench task assign --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 --employee-id 63d997fd-d0b5-441f-a8a8-84fbd770ae67 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"63d997fd-d0b5-441f-a8a8-84fbd770ae67\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n    ",
        "yc-bench task assign --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"296eee71-5f76-4a9e-8973-dc5eae0ca969\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 --employee-id 1e42624c-991a-455a-a9b9-4feb9acf6d94\"}",
        "yc-bench task assign --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 --employee-id d42fe995-4c6a-4266-978d-ae9c9f1948ce -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"296eee71-5f76-4a9e-8973-dc5eae0ca969\\\",\\n  \\\"status\\\": \\\"planned\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"d42fe995-4c6a-4266-978d-ae9c9f1948ce\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    }\\n  ]\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task assign --",
        "yc-bench task dispatch --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 3\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861\"}",
        "yc-bench task dispatch --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"296eee71-5f76-4a9e-8973-dc5eae0ca969\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignment_count\\\": 2\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task dispatch --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969\"}"
      ]
    },
    {
      "turn": 60,
      "timestamp": "2026-02-26T18:40:32.555605+00:00",
      "user_input": "## Turn 60 \u2014 Simulation State\n- **Current time**: 2025-02-17T10:34:08.637053\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-02-17T10:34:08.637053\\\",\\n  \\\"new_sim_time\\\": \\\"2025-02-19T15:54:43.543215\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 61,
      "timestamp": "2026-02-26T18:40:36.304345+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-02-17T10:34:08.637053\n- new_sim_time: 2025-02-19T15:54:43.543215\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': 'fae931f3-3a51-4e83-9c76-ef9e29abf861', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench task inspect --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861, yc-bench task inspect --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969, yc-bench company status",
      "commands_executed": [
        "yc-bench task inspect --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n  \\\"title\\\": \\\"Fine-Tune Llama-3 8B for Domain-Specific Support [TRAINING-18]\\\",\\n  \\\"description\\\": \\\"Run supervised fine-tuning on 50K curated customer support conversations using QLoRA, targeting 15% accuracy improvement over the base model.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 2403146,\\n  \\\"reward_prestige_delta\\\": 0.147,\\n  \\\"skill_boost_pct\\\"",
        "yc-bench task inspect --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"296eee71-5f76-4a9e-8973-dc5eae0ca969\\\",\\n  \\\"title\\\": \\\"Implement OAuth2 + SAML SSO for Enterprise Platform [BACKEND-51]\\\",\\n  \\\"description\\\": \\\"Add enterprise authentication supporting SAML 2.0, OIDC, and SCIM provisioning for customers integrating with their identity provider.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 902142,\\n  \\\"reward_prestige_delta\\\": 0.028,\\n  \\\"skill_boost_pct\\\": 0.01",
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 38861871,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.039,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.039,\\n    \\\"hardware\\\": 1.846,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.989,\\n    \\\"training\\\": 1.143\\n  },\\n  \\\"sim_time\\\": \\\"2025-02-19T15:54:43.543215\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 2,\\n    \\"
      ]
    },
    {
      "turn": 62,
      "timestamp": "2026-02-26T18:40:41.183424+00:00",
      "user_input": "## Turn 62 \u2014 Simulation State\n- **Current time**: 2025-02-19T15:54:43.543215\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 2 tool call(s): yc-bench task assign --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1, yc-bench task assign --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 --employee-id 69459583-5913-4a38-9520-55d6517b8108",
      "commands_executed": [
        "yc-bench task assign --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 --employee-id 7c1c122a-0dbb-4671-b950-c8554b8761a1 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"296eee71-5f76-4a9e-8973-dc5eae0ca969\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-19T15:54:43.543215\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"d42fe995-4c6a-4266-978d-ae9c9f1948ce\\\",\\n     ",
        "yc-bench task assign --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 --employee-id 69459583-5913-4a38-9520-55d6517b8108 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"296eee71-5f76-4a9e-8973-dc5eae0ca969\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"assignments\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"1e42624c-991a-455a-a9b9-4feb9acf6d94\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-17T10:34:08.637053\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"69459583-5913-4a38-9520-55d6517b8108\\\",\\n      \\\"assigned_at\\\": \\\"2025-02-19T15:54:43.543215\\\"\\n    },\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n     "
      ]
    },
    {
      "turn": 63,
      "timestamp": "2026-02-26T18:40:43.957416+00:00",
      "user_input": "## Turn 63 \u2014 Simulation State\n- **Current time**: 2025-02-19T15:54:43.543215\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-02-19T15:54:43.543215\\\",\\n  \\\"new_sim_time\\\": \\\"2025-02-20T13:19:48.541401\\\",\\n  \\\"events_processed\\\": 1,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 0,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_half\\\",\\n      \\\"task_id\\\": \\\"296eee71-5f76-4a9e-8973-dc5eae0ca969\\\",\\n      \\\"handled\\\": true\\n    }\\n  ],\\n  \\\"ok\\\": true,\\n  \\\"checkpoint_event_type\\\": \\\"task_h"
      ]
    },
    {
      "turn": 64,
      "timestamp": "2026-02-26T18:40:47.801800+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-02-19T15:54:43.543215\n- new_sim_time: 2025-02-20T13:19:48.541401\n- checkpoint_event_type: task_half_progress\n- events_processed: 1\n- payrolls_applied: 0\n- balance_delta: 0\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 1\n- wake_event: {'type': 'task_half', 'task_id': '296eee71-5f76-4a9e-8973-dc5eae0ca969', 'handled': True}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 2 tool call(s): yc-bench task inspect --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861, yc-bench task inspect --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969",
      "commands_executed": [
        "yc-bench task inspect --task-id fae931f3-3a51-4e83-9c76-ef9e29abf861 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n  \\\"title\\\": \\\"Fine-Tune Llama-3 8B for Domain-Specific Support [TRAINING-18]\\\",\\n  \\\"description\\\": \\\"Run supervised fine-tuning on 50K curated customer support conversations using QLoRA, targeting 15% accuracy improvement over the base model.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 2403146,\\n  \\\"reward_prestige_delta\\\": 0.147,\\n  \\\"skill_boost_pct\\\"",
        "yc-bench task inspect --task-id 296eee71-5f76-4a9e-8973-dc5eae0ca969 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"task_id\\\": \\\"296eee71-5f76-4a9e-8973-dc5eae0ca969\\\",\\n  \\\"title\\\": \\\"Implement OAuth2 + SAML SSO for Enterprise Platform [BACKEND-51]\\\",\\n  \\\"description\\\": \\\"Add enterprise authentication supporting SAML 2.0, OIDC, and SCIM provisioning for customers integrating with their identity provider.\\\",\\n  \\\"status\\\": \\\"active\\\",\\n  \\\"required_prestige\\\": 1,\\n  \\\"reward_funds_cents\\\": 902142,\\n  \\\"reward_prestige_delta\\\": 0.028,\\n  \\\"skill_boost_pct\\\": 0.01"
      ]
    },
    {
      "turn": 65,
      "timestamp": "2026-02-26T18:40:49.715260+00:00",
      "user_input": "## Turn 65 \u2014 Simulation State\n- **Current time**: 2025-02-20T13:19:48.541401\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $388,618.71 (38861871 cents)\n- **Monthly payroll**: $38,808.24\n- **Runway**: ~10.0 months\n- **Employees**: 5\n- **Active tasks**: 2\n- **Planned tasks**: 0\n\nDecide your next actions. Use `run_command` to execute CLI commands.",
      "agent_output": "Executed 1 tool call(s): yc-bench sim resume",
      "commands_executed": [
        "yc-bench sim resume -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"old_sim_time\\\": \\\"2025-02-20T13:19:48.541401\\\",\\n  \\\"new_sim_time\\\": \\\"2025-02-24T11:19:42.413476\\\",\\n  \\\"events_processed\\\": 2,\\n  \\\"payrolls_applied\\\": 0,\\n  \\\"balance_delta\\\": 3305288,\\n  \\\"bankrupt\\\": false,\\n  \\\"horizon_reached\\\": false,\\n  \\\"wake_events\\\": [\\n    {\\n      \\\"type\\\": \\\"task_completed\\\",\\n      \\\"task_id\\\": \\\"fae931f3-3a51-4e83-9c76-ef9e29abf861\\\",\\n      \\\"success\\\": true,\\n      \\\"funds_delta\\\": 2403146,\\n      \\\"bankrupt\\\": fa"
      ]
    },
    {
      "turn": 66,
      "timestamp": "2026-02-26T18:40:54.444683+00:00",
      "user_input": "Simulation advanced via `yc-bench sim resume`.\n- old_sim_time: 2025-02-20T13:19:48.541401\n- new_sim_time: 2025-02-24T11:19:42.413476\n- checkpoint_event_type: task_completed\n- events_processed: 2\n- payrolls_applied: 0\n- balance_delta: 3305288\n- bankrupt: False\n- horizon_reached: False\n- terminal_reason: None\n- wake_events_count: 2\n- wake_event: {'type': 'task_completed', 'task_id': 'fae931f3-3a51-4e83-9c76-ef9e29abf861', 'success': True, 'funds_delta': 2403146, 'bankrupt': False}\n- wake_event: {'type': 'task_completed', 'task_id': '296eee71-5f76-4a9e-8973-dc5eae0ca969', 'success': True, 'funds_delta': 902142, 'bankrupt': False}\nYou are now at the new checkpoint. Query live state via yc-bench commands and decide next actions.",
      "agent_output": "Executed 3 tool call(s): yc-bench company status, yc-bench market browse --required-prestige-lte 2 --limit 50, yc-bench employee list",
      "commands_executed": [
        "yc-bench company status -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"company_id\\\": \\\"e98b621c-f7ad-4231-9e94-0930d10f9d5c\\\",\\n  \\\"company_name\\\": \\\"BenchCo\\\",\\n  \\\"funds_cents\\\": 42167159,\\n  \\\"prestige\\\": {\\n    \\\"backend\\\": 1.214,\\n    \\\"data\\\": 1.324,\\n    \\\"frontend\\\": 1.039,\\n    \\\"hardware\\\": 1.846,\\n    \\\"research\\\": 1.0,\\n    \\\"system\\\": 1.989,\\n    \\\"training\\\": 1.29\\n  },\\n  \\\"sim_time\\\": \\\"2025-02-24T11:19:42.413476\\\",\\n  \\\"horizon_end\\\": \\\"2026-01-01T09:00:00\\\",\\n  \\\"tasks\\\": {\\n    \\\"active\\\": 0,\\n    \\\"",
        "yc-bench market browse --required-prestige-lte 2 --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 42,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"de640013-607d-40ac-ab2e-b56da00e4ad0\\\",\\n      \\\"title\\\": \\\"Deploy Edge Inference for Real-Time Video Analytics [HARDWARE-1]\\\",\\n      \\\"description\\\": \\\"Set up an NVIDIA Jetson-based inference node running YOLO and a lightweight LLM for on-premises real-time camera analysis with local data processing.\\\",\\n      \\\"required_prestige\\\": 2,\\n      \\\"reward_fun",
        "yc-bench employee list -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"count\\\": 5,\\n  \\\"employees\\\": [\\n    {\\n      \\\"employee_id\\\": \\\"7c1c122a-0dbb-4671-b950-c8554b8761a1\\\",\\n      \\\"name\\\": \\\"Emp_1\\\",\\n      \\\"salary_cents\\\": 778289,\\n      \\\"work_hours_per_day\\\": 9.0,\\n      \\\"skills\\\": {\\n        \\\"backend\\\": 8.0614,\\n        \\\"data\\\": 8.2887,\\n        \\\"frontend\\\": 8.0392,\\n        \\\"hardware\\\": 6.5781,\\n        \\\"research\\\": 4.6753,\\n        \\\"system\\\": 7.4047,\\n        \\\"training\\\": 8.4845\\n      },\\n      \\\"ac"
      ]
    },
    {
      "turn": 67,
      "timestamp": "2026-02-26T18:40:57.312603+00:00",
      "user_input": "## Turn 67 \u2014 Simulation State\n- **Current time**: 2025-02-24T11:19:42.413476\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $421,671.59 (42167159 cents)\n- **Monthly payroll**: $39,412.72\n- **Runway**: ~10.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 2 tool call(s): yc-bench task accept --task-id 310cd08e-5920-466a-b0ba-5405df239703, yc-bench task accept --task-id ef65ba1d-fcf2-454d-9462-7a4c333aefe0",
      "commands_executed": [
        "yc-bench task accept --task-id 310cd08e-5920-466a-b0ba-5405df239703 -> {\"ok\": false, \"exit_code\": 1, \"stdout\": \"{\\\"error\\\": \\\"Company max prestige (1.989) does not meet task requirement (2).\\\"}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id 310cd08e-5920-466a-b0ba-5405df239703\"}",
        "yc-bench task accept --task-id ef65ba1d-fcf2-454d-9462-7a4c333aefe0 -> {\"ok\": false, \"exit_code\": 1, \"stdout\": \"{\\\"error\\\": \\\"Company max prestige (1.989) does not meet task requirement (2).\\\"}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench task accept --task-id ef65ba1d-fcf2-454d-9462-7a4c333aefe0\"}"
      ]
    },
    {
      "turn": 68,
      "timestamp": "2026-02-26T18:41:02.653584+00:00",
      "user_input": "## Turn 68 \u2014 Simulation State\n- **Current time**: 2025-02-24T11:19:42.413476\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $421,671.59 (42167159 cents)\n- **Monthly payroll**: $39,412.72\n- **Runway**: ~10.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 1 tool call(s): yc-bench market browse --required-prestige-lte 1 --limit 50",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 1 --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 0,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": []\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench market browse --required-prestige-lte 1 --limit 50\"}"
      ]
    },
    {
      "turn": 69,
      "timestamp": "2026-02-26T18:41:04.678016+00:00",
      "user_input": "## Turn 69 \u2014 Simulation State\n- **Current time**: 2025-02-24T11:19:42.413476\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $421,671.59 (42167159 cents)\n- **Monthly payroll**: $39,412.72\n- **Runway**: ~10.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 1 tool call(s): yc-bench market browse --required-prestige-lte 2 --offset 50 --limit 50",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 2 --offset 50 --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 42,\\n  \\\"offset\\\": 50,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": []\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench market browse --required-prestige-lte 2 --offset 50 --limit 50\"}"
      ]
    },
    {
      "turn": 70,
      "timestamp": "2026-02-26T18:41:06.452548+00:00",
      "user_input": "## Turn 70 \u2014 Simulation State\n- **Current time**: 2025-02-24T11:19:42.413476\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $421,671.59 (42167159 cents)\n- **Monthly payroll**: $39,412.72\n- **Runway**: ~10.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 1 tool call(s): yc-bench market browse --limit 50",
      "commands_executed": [
        "yc-bench market browse --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 150,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": [\\n    {\\n      \\\"task_id\\\": \\\"10adb1cd-cd53-4ad9-b869-632cf52ab403\\\",\\n      \\\"title\\\": \\\"Build Synthetic Data Pipeline for Rare Edge Cases [DATA-47]\\\",\\n      \\\"description\\\": \\\"Create a system that uses frontier LLMs to generate realistic synthetic examples for underrepresented categories in a classification dataset.\\\",\\n      \\\"required_prestige\\\": 6,\\n      \\\"reward_funds_cents\\\": "
      ]
    },
    {
      "turn": 71,
      "timestamp": "2026-02-26T18:41:10.238413+00:00",
      "user_input": "## Turn 71 \u2014 Simulation State\n- **Current time**: 2025-02-24T11:19:42.413476\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $421,671.59 (42167159 cents)\n- **Monthly payroll**: $39,412.72\n- **Runway**: ~10.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 1 tool call(s): yc-bench market browse --required-prestige-lte 1 --limit 50",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 1 --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 0,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": []\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench market browse --required-prestige-lte 1 --limit 50\"}"
      ]
    },
    {
      "turn": 72,
      "timestamp": "2026-02-26T18:41:13.636142+00:00",
      "user_input": "## Turn 72 \u2014 Simulation State\n- **Current time**: 2025-02-24T11:19:42.413476\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $421,671.59 (42167159 cents)\n- **Monthly payroll**: $39,412.72\n- **Runway**: ~10.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 1 tool call(s): yc-bench market browse --required-prestige-lte 1 --offset 50 --limit 50",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 1 --offset 50 --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 0,\\n  \\\"offset\\\": 50,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": []\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench market browse --required-prestige-lte 1 --offset 50 --limit 50\"}"
      ]
    },
    {
      "turn": 73,
      "timestamp": "2026-02-26T18:41:16.362348+00:00",
      "user_input": "## Turn 73 \u2014 Simulation State\n- **Current time**: 2025-02-24T11:19:42.413476\n- **Horizon end**: 2026-01-01T09:00:00\n- **Funds**: $421,671.59 (42167159 cents)\n- **Monthly payroll**: $39,412.72\n- **Runway**: ~10.7 months\n- **Employees**: 5\n- **Active tasks**: 0\n- **Planned tasks**: 0\n\n**ACTION REQUIRED**: No tasks are running. Accept a task, assign employees to it, dispatch it, then call `yc-bench sim resume`. Do this now \u2014 every turn without active tasks burns runway.",
      "agent_output": "Executed 1 tool call(s): yc-bench market browse --required-prestige-lte 0 --limit 50",
      "commands_executed": [
        "yc-bench market browse --required-prestige-lte 0 --limit 50 -> {\"ok\": true, \"exit_code\": 0, \"stdout\": \"{\\n  \\\"total\\\": 0,\\n  \\\"offset\\\": 0,\\n  \\\"limit\\\": 50,\\n  \\\"tasks\\\": []\\n}\\n\", \"stderr\": \"\", \"sim_time\": null, \"command\": \"yc-bench market browse --required-prestige-lte 0 --limit 50\"}"
      ]
    }
  ]
}