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autoresearch

Yeachan-Heo · Данни и AI

Goal-directed research missions that interleave web research with data experimentation and end on a structured best-effort verdict

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22.09.2026 г.

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Autoresearch Workflow

Use when the user asks for autoresearch, or gives a bounded research goal whose deliverable is a defensible verdict rather than code ("find out", "investigate", "benchmark and draw a conclusion").

Usage

/skill:autoresearch "<research goal>"
/skill:autoresearch --spec .gjc/_session-{sessionid}/specs/deep-interview-<slug>.md

Invoke this workflow as /skill:autoresearch; the durable state behind it is driven by the gjc autoresearch runtime command.

Purpose

autoresearch runs one goal-directed research mission: it interleaves web research with data/environment experimentation and ends on a single structured, best-effort verdict. The verdict receipt carries a structured status, evidence[], caveats[], and the evaluator identity that issued it. The mission is research, NOT implementation: its durable outputs are findings, evidence, run records, and a verdict — never product code.

All mission state persists per session under .gjc/_session-{sessionid}/autoresearch/ and survives across gjc autoresearch invocations. The global ~/.gjc/autoresearch store is never written.

Always-used command examples

Use these exact gjc autoresearch commands before spending tool calls rediscovering syntax:

gjc autoresearch --spec <deep-interview-spec-path>
gjc autoresearch "<goal>"
gjc autoresearch
gjc autoresearch read --json
gjc autoresearch clear
  • intake --spec <path> (or the bare --spec flag) — spec intake from a persisted deep-interview spec; asks zero questions.
  • "<goal>" or bare invocation — cold intake; goal, constraints, and deliverables must be clarified before research begins.
  • read --json — current mission artifact plus the append-only ledger snapshot.
  • clear — retire the mission artifact and its working set, recording mission_cleared in the ledger. This never touches the session python REPL kernel; reset that with the python tool's own clear action.

Use when

Use when the user wants a bounded research mission whose output is a defensible verdict: a question that needs evidence from the web, local data, or both before any conclusion is drawn ("does X hold for this dataset?", "which approach benchmarks best?", "what changed between these two releases?"); an explicit request to run autoresearch; or a goal whose acceptance is a structured verdict with evidence and caveats.

Do not use when

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