deep-research-synthesislisted

# Deep Research & Synthesis Produce research a skeptical expert would trust: every load-bearing claim sourced, reliability labeled, conflicts surfaced, and the synthesis honest about what's known vs. estimated. ## Principles 1. **Scope before searching.** Pin down the question, audience, deliverable, and depth. For research, start an initial recon search immediately rather than gating everything on a clarifying question. 2. **Ground in primary/first-party data first.** If the subject owns data (analytics, a repo, internal docs), pull it before web opinion. 3. **Fan out, don't trickle.** Decompose into independent streams; research in parallel (parallel subagents when available). 4. **Demand provenance.** Every statistic gets a source name, URL, and year. 5. **Tier reliability.** Primary/academic/first-party vs directional/vendor; use directional figures for direction only (`references/source-tiering.md`). 6. **Verify the load-bearing claims** against primary sources; drop or label what doesn't survive. 7. **Reflect and stop deliberately.** After each pass: what did I find, what's missing, is coverage enough? Stop when saturated (`references/research-rigor.md`). 8. **Surface conflicts; never fabricate.** ## Workflow 1. **Scope & clarify**, then write a one-paragraph research brief (constraints stated, unknowns marked open). 2. **Recon** the subject and any first-party data to sharpen the stream plan. 3. **Plan 3–5 independent streams** mapped to eventual report sections. 4.