storm-researchlisted

# STORM Research ## Overview Multi-perspective research method adapted from Stanford's STORM (Shao et al., NAACL 2024, github.com/stanford-oval/storm). Core principle: **one query returns the majority view; five grounded perspectives plus a contradiction map returns understanding.** The STORM paper reports ~25% better organization and ~10% broader coverage from multi-perspective question asking versus its single-pass baseline. **The Iron Rule: every perspective must be grounded in real retrieval.** Persona-prompting without sources is five flavors of one model's blind spots hallucinating in harmony. Each perspective's claims come from actual searches (WebSearch, WebFetch, or whatever search MCPs you have wired up) with sources noted. No search → no claim. ## The Four Phases Run all four, in order. Do not stop after Phase 1 or 3. ### Phase 1 — Multi-Perspective Scan Pick 5 perspectives suited to the topic. Default set: | Perspective | Asks | |---|---| | Practitioner | What actually happens day-to-day? What breaks in reality? | | Skeptic | What's overhyped or wrong? What could fail? | | Economist | Who profits? What incentives shape the claims? | | Historian | Has this pattern happened before? How did it end? | | Academic | What does the actual evidence/data say? | Swap perspectives when the topic demands (e.g. regulator, customer, competitor, clinician). For each: generate that persona's 2-3 sharpest questions, then **search to answer them**. Note the source for each f