{
  "turns": [
    {
      "role": "user",
      "content": "<context timezone=\"America/Chicago\" />\n<message id=\"1226\" from=\"unknown:agent:ag-1779666729747-9n7kga\" sender=\"system\" time=\"Jul 7, 2026, 10:32 PM\">Maintenance verification: reply to James on telegram with one short sentence confirming you received this and naming which model provider answered.</message>\n\n<task from=\"telegram-mg-17796\" time=\"Jul 8, 2026, 3:01 AM\">Script output:\n{\n  \"burnable_pct\": 50,\n  \"tier\": \"high\",\n  \"implementationModel\": \"claude-sonnet\",\n  \"eligibleProjects\": [\n    {\n      \"project\": \"StageHand\",\n      \"priority\": \"P1\"\n    },\n    {\n      \"project\": \"nanoclaw\",\n      \"priority\": \"P1\"\n    },\n    {\n      \"project\": \"AgenticLever\",\n      \"priority\": \"P2\"\n    },\n    {\n      \"project\": \"RoadSense\",\n      \"priority\": \"P2\"\n    },\n    {\n      \"project\": \"qip-qien\",\n      \"priority\": \"P2\"\n    },\n    {\n      \"project\": \"congressional-trading\",\n      \"priority\": \"P3\"\n    },\n    {\n      \"project\": \"TradingBot25\",\n      \"priority\": \"P3\"\n    }\n  ],\n  \"next_reset_at\": \"2026-07-08T08:20:21.735Z\",\n  \"providerSnapshot\": [\n    {\n      \"name\": \"Claude\",\n      \"tracked\": true,\n      \"5h_remaining_pct\": 74,\n      \"7d_remaining_pct\": 67\n    },\n    {\n      \"name\": \"Codex\",\n      \"tracked\": true,\n      \"5h_remaining_pct\": 100,\n      \"7d_remaining_pct\": 49\n    },\n    {\n      \"name\": \"Gemini\",\n      \"tracked\": false,\n      \"note\": \"$20/mo subscription — no CodexBar tracking, manually updated from gemini.google.com/usage\"\n    },\n    {\n      \"name\": \"LM Studio\",\n      \"tracked\": false,\n      \"note\": \"local model server — always-available when running at lm_studio_url\"\n    }\n  ],\n  \"claude_windows\": {\n    \"5h\": {\n      \"remaining_pct\": 74,\n      \"resets_in_sec\": 17272\n    },\n    \"7d\": {\n      \"remaining_pct\": 67,\n      \"resets_in_sec\": 322072\n    }\n  }\n}\n\nInstructions:\nPortfolio Autopilot run triggered. Trigger script has confirmed burnable quota and eligible projects exist.\n\nScript `data` contains:\n- `burnable_pct`: effective burnable quota (%)\n- `tier`: quota tier (minimal/low/medium/high)\n- `implementationModel`: model for implementation tasks\n- `eligibleProjects`: [{project, priority}] sorted by priority — P1 first\n- `next_reset_at`: ISO timestamp when the constraining window resets\n- `providerSnapshot`: remaining % for all providers (Claude + Codex) for context\n- `claude_windows`: { \"5h\": { remaining_pct, resets_in_sec }, \"7d\": { ... } }\n\n## Your job this cycle\n\n1. Read `/workspace/extra/second-brain/portfolio/BOARD.md` and the relevant `projects/*.md` cards for eligible projects.\n\n2. Pick ONE unit of work — the highest-priority eligible project with a clear, actionable `Next action`. Skip anything where `Next action` is \"confirm with James\" or blocked on external input.\n\n3. Determine task type and proceed accordingly:\n   - **Greenfield** (new plan, new feature direction, new project direction): Plan only → auto red-team → send package (plan + critique + numbered open questions) to James via Telegram (`telegram-mg-17796`). Do NOT start implementation.\n   - **Continuation** (`autonomous-ok` guard, clear next action): Implement directly. Report outcome to James after.\n   - **review-required** (TradingBot25, qip-qien): Produce change + summary, send to James for merge approval.\n\n4. Planning always uses Claude Sonnet regardless of `implementationModel`. Implementation uses whatever `implementationModel` says.\n\n5. After completing work:\n   - Update the project card's `Next action` and append a dated line to its `Notes`.\n   - Update the `Last activity` date in `BOARD.md`.\n   - Send James a brief 2–3 line outcome note on Telegram (`telegram-mg-17796`).\n   - Log the run to `/workspace/agent/autopilot-run-log.jsonl` — one JSON line: `{ timestamp, tier, burnable_pct, project, task_type, model_used, outcome, notes }`.\n\n6. **Schedule the next reset-wake**: After completing work, call `mcp__nanoclaw__schedule_task` with:\n   - `processAfter`: the `next_reset_at` value from the trigger data (the exact window reset time)\n   - `recurrence`: omit (one-shot)\n   - `prompt`: \"Portfolio Autopilot reset-wake: check quota and run one autopilot cycle. Read /workspace/agent/autopilot-config.json for context. Run node /workspace/agent/autopilot.mjs to see current state, then proceed as the autopilot prompt instructs.\"\n   - `script`: `node /workspace/agent/autopilot-trigger.mjs 2>/dev/null`\n   This ensures the next cycle starts exactly when the window resets, not up to 30 min later.\n\nIf no eligible project has a clear actionable next step, log it and send James a one-liner: what's stalled and why.\n\nConfig at `/workspace/agent/autopilot-config.json` — thresholds and priorities live there.</task>"
    },
    {
      "role": "assistant",
      "content": "<internal>\nPortfolio Autopilot cycle triggered — tier: high, burnable: 50%. Need to read BOARD.md and eligible project cards, then pick one actionable item. Let me start by reading the board and project cards.\n</internal>\n\n<internal>\nLet me read BOARD.md and the eligible project cards to find a clear actionable next step.\n</internal>\n\n<message to=\"telegram-mg-17796\">On it — reading portfolio board and project cards now.</message>"
    }
  ]
}