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deep-research — Disciplined Meta-Research

The heavyweight end of the research domain: an auditable, reusable, triangulated investigation — for when a wrong answer costs more than the tokens spent getting it right.

deep-research is the rigor-first alternative to the fast research router. Where the router does keyword-classify → delegate → short brief for low-decision-risk questions, deep-research pays for rigor: falsifiable hypotheses, parallel sub-agent fan-out, source triangulation, a mandatory adversarial pass, and per-source files with verbatim quotes.

The 9-phase pipeline

# Phase What it does
1 Reframe Fix the underlying decision; state 2-4 falsifiable hypotheses
2 Genre & blocks Pick report genre + building blocks
3 Plan plan.md: scope, sourcing strategy, opposition queries, risk register, stop-criteria
3.5 Capability discovery Audit available API keys/channels; map subtopics to sources
4 Search (parallel) Fan out sub-agents → fetch & dedup → save each to sources/NN.md
5 Score & triangulate Rate Credibility/Recency/Bias; require >=3 independent, differently-typed sources per thesis
6 Synthesize + adversarial Assemble from blocks; 4 self-critique questions; steel-man counter-arguments
6.5 Verify Lightweight citation check
7 Refresh targets Emit refresh_targets.md for delta-updates

Core discipline

  • No fabricated citations — empty fetch = empty claim; every assertion binds to a saved verbatim quote.
  • Triangulation mandatory — a thesis with < 3 independent, differently-typed sources is "insufficient evidence," not fact.
  • Adversarial pass required on medium/deep investigations.
  • Persist to files — output is a reusable folder, not a chat wall.

Use / don't use

Use for: strategy, comparing N options, hypothesis validation, mapping a field. Not for: quick fact-checks (answer directly), 12-dimension competitor scoring (competitive-teardown), or fast low-risk overviews (the research router).

What's in the box

Attribution

Methodology contributed by @Socialpranker (PR #851). The continuously-maintained source catalog (29 channels, 460+ statistical sources, 39 validated APIs, 103 report blocks) lives upstream at claude-deep-research; the methodology here is self-contained. MIT.