docs(data-model): align briefs/<id>.json schema (provenance + grounding + file-vs-IPC)
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@@ -267,13 +267,22 @@ label so re-diarization or renaming never requires rewriting every segment (FR-S
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## `briefs/<brief_id>.json` (feature brief — ADR-0011)
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Agent-ready spec the MCP `get_feature_brief` tool returns. Designed to drop straight into a coding
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agent's context.
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agent's context. Written by `create_feature_brief` (M1); one file per brief under the meeting's
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`briefs/` folder, **sealed at rest with the vault** when unlocked (T8.8), exactly like
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`summary.json`. The `feature_briefs` table indexes it (id, meeting_id, title, target_repo, path,
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exposed) for `list_feature_briefs` and the MCP scope check — the file is the source of truth; the
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row is the index. The IPC `FeatureBrief` type (`04-api-contracts.md`) is the subset returned to the
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UI / MCP: everything below **except** the `schema`/provenance envelope (`generated_at`, `provider`,
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`model`, `source`).
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```jsonc
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{
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"schema": 1,
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"id": "b7a1…",
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"meeting_id": "f1c2…",
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"generated_at": 1751299200, // envelope: which model distilled this, and when
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"provider": "ollama",
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"model": "llama3",
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"title": "Bulk CSV export for the reporting view",
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"problem": "Customer can't get their data out for offline analysis.",
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"desired_outcome": "One-click CSV export of the current filtered report.",
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@@ -282,15 +291,21 @@ agent's context.
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"Respects active filters and column order",
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"Streams large exports without blocking the UI",
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],
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"target_repo": "acme/reporting-web", // optional hint for the agent
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"target_repo": "acme/reporting-web", // optional hint the user supplies at create time
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"context_excerpts": [
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// minimal transcript quotes that ground the request
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// verbatim transcript quotes that ground the request — NOT model paraphrase;
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// the builder selects them from the real transcript (speaker = resolved display name)
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{ "speaker": "Customer", "text": "We really need to pull this into our own spreadsheets." },
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],
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"source": { "meeting_title": "Acme quarterly sync", "at": 1751299200 },
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}
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```
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Field presence: `title`, `problem`, `desired_outcome` are always strings (the builder falls back to
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the meeting title / `""` on a sparse model reply); `acceptance_criteria` and `context_excerpts` may
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be empty arrays. Every `context_excerpts[].text` is a verbatim substring of a real transcript
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segment (the M1 grounding invariant, asserted by the golden-transcript test).
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## `settings.json`
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```jsonc
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