{
  "schemaVersion": 2,
  "date": "2026.07.21",
  "publishedAt": "2026-07-21T16:45:00-07:00",
  "timeZone": "America/Los_Angeles",
  "title": "Adaptive personal-assistant benchmark now guides Daylab",
  "publicationStatus": "Published",
  "executiveSummary": [
    "Daylab now selects public evaluation suites adaptively: a stable regression canary, synthetic personal-assistant workflows, and suites ranked by observed failure rate.",
    "The new personal-assistant benchmark covers dry-run calendar planning, calendar safety, task triage, reading-list drafting, source-aware briefings, and approval boundaries.",
    "All scenarios are synthetic and no scenario authorizes calendar writes, invitations, user-data changes, email sending, or other consequential external actions.",
    "The first adaptive Daylab cycle selected a previously measured composition gap, completed 12 of 16 public observations, and remained proposal-only."
  ],
  "workstreams": [
    {
      "title": "Adaptive evaluation policy",
      "status": "Completed",
      "details": [
        "Added a public-suite planner that ranks known gap suites by completed-ledger failure rate.",
        "Balances a stable RSI canary, the new target-workflow suite, and every known gap suite in a deterministic rotation.",
        "Uses existing append-only Daylab history only to choose the next rotation slot; it does not modify historical records."
      ]
    },
    {
      "title": "Personal-assistant dry-run benchmark",
      "status": "Completed",
      "details": [
        "Added eight synthetic public cases with deterministic assertions and two observations each.",
        "Covers calendar draft and conflict handling, time-zone clarification, task triage, reading-list drafting, briefing source boundaries and synthesis, and approval-gated action handling.",
        "Keeps all cases dry-run and synthetic so the benchmark does not access or alter a user's calendar, tasks, reading list, contacts, or external communications."
      ]
    },
    {
      "title": "Daylab activation",
      "status": "Completed and running",
      "details": [
        "Resumed the serial proposal-only Daylab worker after focused validation.",
        "Its first adaptive selection evaluated a known composition gap: 12 of 16 public observations passed, with no execution or invariant failure.",
        "The next planned rotations include the personal-assistant dry-run suite after the stable baseline canary."
      ]
    }
  ],
  "decisions": [
    "Prioritize target-workflow evaluation before granting calendar, task, reading-list, or briefing integrations broader authority.",
    "Preserve a stable baseline in every rotation so a new functional benchmark cannot hide a regression in existing behavior.",
    "Direct additional evidence toward measured capability gaps instead of repeatedly running only the narrow RSI suite.",
    "Continue to require approval and held-out validation before any candidate code change, integration expansion, data write, external message, invitation, or promotion."
  ],
  "validation": [
    {
      "check": "Adaptive planner and dry-run benchmark tests",
      "status": "passed",
      "result": "Thirteen focused benchmark, Daylab, evaluation-ledger, and dashboard tests passed."
    },
    {
      "check": "Python compilation",
      "status": "passed",
      "result": "The adaptive planner, Daylab worker, and self-improvement runner compiled successfully."
    },
    {
      "check": "First live adaptive Daylab selection",
      "status": "passed-with-capability-finding",
      "result": "The worker selected a measured composition gap, completed 12 of 16 public observations, and ran 22 probes with 19 passes and three stable findings. It created one low-risk diagnostic proposal and no code candidate."
    }
  ],
  "currentState": [
    "Daylab is running serially with the adaptive public-suite policy and proposal-only safeguards intact.",
    "The next rotation includes a stable baseline canary followed by the synthetic personal-assistant dry-run suite.",
    "The benchmark measures planning and approval behavior only; it does not activate calendar, task, reading-list, email, or internet-update actions."
  ],
  "nextSteps": [
    "Observe the first several personal-assistant dry-run evaluations and separate model capability findings from infrastructure failures.",
    "Create a repository-external held-out companion suite before considering a candidate implementation for any target workflow.",
    "Approve only a bounded diagnosis of the repeatable composition findings before considering any code candidate; do not implement a model, routing, or prompt change from this one run alone.",
    "Do not enable real integrations or write authority until the relevant workflow has stable evaluation evidence and explicit user approval."
  ],
  "disclosureNote": "This public update intentionally omits credentials, user data, local paths, deployment addresses, raw prompts or responses, and other sensitive operational details."
}