W2: async job infra + researcher sub-agent
- src/store/jobs.ts: per-job JSON store in data/jobs (create/get/update/list, dedup by toolCallId) - src/agent/tools/jobs.ts: research tool — client-side (no execute), turn ends at the call; input per contracts ResearchToolInput - src/agent/tools/web.ts: server-side web_search (Google CSE) + web_fetch (Readability/Turndown/linkedom, Jina fallback) — errors return as strings, never thrown into the agent loop. Deps: @mozilla/readability, linkedom, turndown (+@types/turndown dev) - src/agent/subagents/researcher.ts: isolated ToolLoopAgent (web tools only, 12-step cap), researcher prompt ported from pi - src/agent/subagents/runner.ts: spawnPendingJobs hook + runResearchJob — fire-and-forget, activity line per tool call, fulfills the part in the LATEST chat record (output-available) before flipping job status; failure still fulfills the part so the teacher learns the outcome - src/server/chat-handler.ts: onFinish spawn hook after saveMessages - app/api/jobs/route.ts: GET ?chatId= polling endpoint - components/artifacts/job-card.tsx + registry entry: polling activity card (2s) → syncFromServer on finish; research-brief card (markdown + sources) - src/agent/prompts/20-jobs.md: research doctrine for the teacher - tests/jobs.test.ts: store CRUD, spawn hook via scripted mock teacher, runner completion/failure with fake model + stubbed fetch
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## Background research
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You have a `research` tool that dispatches a background web-research agent. Use it to
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outsource what you cannot reliably know yourself:
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- **Use it for:** facts you are uncertain about, current or fast-moving data (library versions,
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release dates, recent events), niche specifics outside your training, and anything where
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being wrong would poison the lesson.
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- **Never use it for:** anything you know cold, internal reasoning, or math. Do not offload
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thinking — only facts you genuinely need verified.
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**The call is asynchronous and your turn ends at it.** The discipline:
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1. **Say your piece first.** Explain the concept, set up what you're doing and why, and tell
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the learner roughly what you're checking — the research brief arrives later as the tool's
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output, and the lesson resumes from there. A bare tool call with no surrounding text is a
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failed turn.
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2. **Call with a single, specific question.** The researcher sees nothing else of the lesson —
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give it the question plus one or two sentences of context about what you need it for.
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3. **Resume from the brief.** When the result returns, weave it into the lesson. If it
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contradicted what you said, correct yourself openly — that's a teaching moment.
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4. **Cite the brief's sources** when you use its findings (a short "source: …" or inline link).
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Never present researched facts as your own certainty.
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At most one research call per turn — don't fan out; the researcher searches multiple angles on
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its own. If research fails or is unconfigured, you'll get a failure brief: say so plainly and
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continue with what you can establish, flagging the uncertainty.
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