FAQ · P1
Token-efficient REA (right-sized Evidence)
Measure tokens per verified finding — not tokens per vibes. Efficiency never means inventing summaries.
Checklist
- Prefer summary / selected views in 6.4+ for Evidence, JS graphs, and dossiers before dumping raw trees into the model.
- Use
REA_MCP_INPUT_SCHEMA_PROFILE=compactand/or domain-split so tools/list fits strict clients (schema size FAQ). - Keep raw dumps on disk; pull slices into context only when needed.
- Reuse sessions / snapshots — avoid re-analyzing the same binary cold every turn.
- Ask bounded questions (“list imports of module X”) instead of “explain the whole app.”
- Retain Evidence files; quote them. Do not strip limitations/unknowns to look confident.