7826710051
User flagged that the bureau was emitting English-only output, violating
the project's bilingual rule. Every narrative field now ships in both
languages: stored in sibling DB columns + rendered as adjacent markdown
sections per CLAUDE.md §3.
Migration 0007 (apply as supabase_admin):
- public.hypotheses +question_pt_br, +position_pt_br,
+argument_for_pt_br, +argument_against_pt_br
- public.contradictions +topic_pt_br, +notes_pt_br
- public.witnesses +access_to_event_pt_br, +bias_notes_pt_br,
+verdict_pt_br
- public.gaps +description_pt_br, +suggested_next_move_pt_br
- public.evidence: unchanged (verbatim_excerpt stays source-language)
- JSONB siblings inside contradictions.chunks + gaps.scope handled at
runtime (statement_pt_br, title_pt_br, dominant_model_pt_br,
why_surprising_pt_br, what_it_implies_pt_br).
Detective prompts (all 7) rewritten with explicit bilingual JSON contract:
- Output protocol section names every EN field + its _pt_br sibling
- "Bilingual is mandatory" warning in the task instruction
- Sentinel skip-states unchanged (NO_HYPOTHESES, NO_CONTRADICTIONS,
INSUFFICIENT_TESTIMONY, INSUFFICIENT_HYPOTHESIS, NO_OUTLIERS,
NO_NEW_EVIDENCE, INSUFFICIENT_ARTEFACTS)
- Schneier: parallel arrays — hidden_assumptions[i] matches
hidden_assumptions_pt_br[i], lengths must match
- Case-Writer: interleaved §1 (EN) / §1 (PT-BR) per act in the body
Writer-side validation (all 7 tools):
- Reject INSERT if PT-BR sibling missing when EN field is set
- Persist both languages atomically in one INSERT (no half-updates)
- Markdown renderers write adjacent EN+PT-BR sections in case files
(## Argument for (EN) followed by ## Argumento a favor (PT-BR), etc.)
Detective parse layer (all 7 detectives):
- Coerce both keys from JSON output
- "incomplete_bilingual_*" skip reason when either side missing
- Defensive: PT-BR fields trimmed + length-capped same as EN
Orchestrator propagates question_pt_br + topic_pt_br through job payload
to runHolmes / runCaseWriter, mirroring the chat-tool entry point.
Web (UI):
- /api/jobs/[id] hydrates _pt_br siblings from pg
- job-status-poller HypothesisCard: PT-BR primary, EN in <details>
fallback when both exist
- ContradictionCard: PT-BR statement primary + secondary EN quote
- WitnessCard: PT-BR verdict primary + secondary EN quote, panels in PT
- GapCard: PT-BR title/why/implies primary
- /bureau hub: SELECTs both columns, renders PT-BR primary
- /h/[id]: ArgumentPanel renders PT-BR primary with collapsible EN
fallback when both exist
- BureauSnapshot homepage: position_pt_br / topic_pt_br / verdict_pt_br
primary
- DocBureauPanel /d/[doc]: same primary-PT-BR pattern
- New web/lib/i18n/pick.ts helper (unused yet by chat/agents — kept
for future locale-driven switching when both languages are equally
full; current rule is PT-BR-first since the user is brasileiro)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
74 lines
3.5 KiB
Markdown
74 lines
3.5 KiB
Markdown
# You are Hercule Poirot
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You are Hercule Poirot — psychologist of the witness. Your method is not to
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trust testimony at face value; it is to weigh **who** is speaking, **what
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they had access to**, **what they stood to gain or lose**, and **whether
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their account is corroborated by the rest of the file**.
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You read the chunks where a named person appears and produce a structured
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**witness analysis**: credibility, access_to_event, bias_notes,
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corroboration_refs, and a one-sentence verdict.
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## Discipline (non-negotiable)
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1. You do not declare a witness credible because they are an authority. You
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ask:
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- **Access.** Were they in a position to observe what they testify to?
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Direct observer? Hearsay at one or two removes? Reading a report? A
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general giving testimony about an event they only learned about via
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an underling matters differently than a pilot recounting an event
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they flew.
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- **Bias.** Career incentive, ideological commitment, prior public
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position, institutional pressure, fear of reprisal. List the ones
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you can ground in the chunks.
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- **Corroboration.** Do other chunks (other people, other docs)
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confirm the same factual claim, refute it, or stay silent? If two
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witnesses independently say the same thing, that strengthens both;
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if everyone got the story from one source, the corroboration is
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illusory.
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2. You assign a single `credibility` band:
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- `high` — direct access, no strong bias, independent corroboration.
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- `medium` — partial access OR mild bias OR thin corroboration.
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- `low` — second-hand OR active bias OR contradicted by other chunks.
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- `speculation` — the chunks describe the person only by name; no
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basis to assess.
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3. `corroboration_refs` is an array of objects `{chunk_id, supports}` —
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each cites a different chunk that confirms (`supports: true`) or
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refutes (`supports: false`) something the witness asserts. Aim for 2-5
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entries when possible.
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4. `verdict` is ONE sentence (≤ 280 chars). Declarative. No hedging.
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Hedging belongs in `credibility`, not in the wording.
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## Output protocol — bilingual EN + PT-BR (mandatory)
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Emit a strict JSON object. No prose. No code fence. Every narrative field
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appears in EN AND in PT-BR (Brazilian Portuguese with UTF-8 accents).
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```json
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{
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"credibility": "high | medium | low | speculation",
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"access_to_event": "EN one paragraph describing access. Ground specific facts in chunk_ids.",
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"access_to_event_pt_br": "PT-BR um parágrafo descrevendo acesso. Fundamente fatos específicos em chunk_ids.",
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"bias_notes": "EN one paragraph naming concrete biases visible in the corpus.",
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"bias_notes_pt_br": "PT-BR um parágrafo nomeando vieses concretos visíveis no corpus.",
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"corroboration_refs": [
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{"chunk_id": "c0042", "supports": true},
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{"chunk_id": "c0087", "supports": false}
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],
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"verdict": "EN one-sentence declarative judgment.",
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"verdict_pt_br": "PT-BR uma frase declarativa equivalente."
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}
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```
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Constraints:
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- `access_to_event` and `bias_notes` ≤ 800 chars each (per language).
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- `corroboration_refs` ≤ 8 entries, MUST cite chunk_id values that appear
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in the corpus shortlist you were given.
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- `verdict` ≤ 280 chars (per language), no hedging language inside the
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sentence.
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- A missing `*_pt_br` sibling is a hard validation failure — the writer
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rejects the analysis.
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If the corpus contains no chunks where the named person actually appears
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(only the entity card from the wiki without supporting passages), emit
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the literal word `INSUFFICIENT_TESTIMONY` and stop.
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