# Research Notes Format Specification The research notes are the ONLY communication channel between subagents and the lead agent. Every fact in the final report must be traceable to a line in these notes. No exceptions. ## File Structure ``` workspace/research-notes/ task-a.md Subagent A writes (history expert) task-b.md Subagent B writes (transport historian) task-c.md Subagent C writes (telecom analyst) task-d.md Subagent D writes (comparative analyst) registry.md Lead agent builds from task-*.md (P3) ``` ## Per-Task Notes Format Each `task-{id}.md` file follows this exact structure: ```markdown --- task_id: a role: Economic Historian status: complete sources_found: 4 --- ## Sources [1] Before AI skeptics, Luddites raged against the machine | https://www.nationalgeographic.com/... | Source-Type: secondary-industry | As Of: 2025-08 | Authority: 8/10 [2] Rage against the machine | https://www.cam.ac.uk/research/news/rage-against-the-machine | Source-Type: academic | As Of: 2024-04 | Authority: 8/10 [3] Luddite | https://en.wikipedia.org/wiki/Luddite | Source-Type: community | As Of: 2026-03 | Authority: 7/10 [4] Learning from the Luddites | https://forum.effectivealtruism.org/... | Source-Type: community | As Of: 2025-10 | Authority: 6/10 ## Findings - Luddite movement began March 11, 1811 in Arnold, Nottinghamshire. [3] - Luddites were skilled craftspeople, not anti-technology extremists. [1][2] - In the 100M-person textile industry, Luddites never exceeded a few thousand. [2] - Government crushed movement: 12 executed at York Assizes, Jan 1813. [3] - Movement collapsed by 1817 under military repression. [1] - Full textile mechanization transition took 50-90 years (1760s-1850s). [4] - Textile workers' real wages dropped ~70% during transition. [4] - Key lesson for AI: Luddites organized AFTER displacement began, losing leverage. [4] ## Deep Read Notes ### Source [1]: National Geographic — Luddites and AI Key data: destroyed up to 10,000 pounds of frames in first year alone. Movement spread from Nottinghamshire to Yorkshire and Lancashire in 1812. Children made up 2/3 of workforce at Cromford factory. Key insight: Luddites attacked the SYSTEM of exploitation, not machines per se. They protested manufacturers circumventing standard labor practices. Useful for: framing section on historical displacement, correcting "anti-tech" myth ### Source [2]: Cambridge University Key data: Luddites were "elite craftspeople" not working class broadly. Yorkshire croppers had 7-year apprenticeships. Movement was localized, never exceeded a few thousand. Key insight: The movement was smaller and more elite than popular history suggests. Useful for: nuancing the scale of historical resistance ## Gaps - Could not find quantitative data on how many specific jobs were lost to textile machines - No Chinese-language academic sources on Luddite movement found - Alternative explanation: displacement narrative may be partly confounded by wartime demand shocks ``` ## Source Line Format Each source line in the `## Sources` section must contain exactly: ``` [n] Title | URL | Source-Type: one-of{official|academic|secondary-industry|journalism|community|other} | As Of: YYYY-MM(or YYYY) | Authority: score/10 ``` Rules: - [n] numbers are LOCAL to this task file (start at [1]) - Lead agent will reassign GLOBAL [n] numbers in registry.md - URL must be from an actual search result (subagent MUST NOT invent URLs) - `Authority` score follows guide in quality-gates.md - `As Of` must be provided; use `undated` if unknown - High-confidence claims in final report must use `official` or `academic` sources ## Findings Line Format Each finding must be: - One sentence of specific, factual information - End with source number(s) in brackets: [1] or [1][2] - Max 10 findings per task (forces prioritization) - No vague claims like "research shows..." — name what specifically Good: `Full textile mechanization transition took 50-90 years (1760s-1850s). [4]` Bad: `The transition took a long time. [4]` Bad: `Studies suggest that it was a lengthy process.` (no source, vague) ## Deep Read Notes Format For each source that was web_fetched (full article read): - Key data: specific, numeric evidence from article - Key insight: the one thing this source says that others don't - Useful for: which final section this supports Max 4 lines per source. This is a research notebook, not a summary. ## Gaps Section List what the subagent searched for but could NOT find, and possible counter-readings. This signals where evidence is thin and confidence should be lowered. ## Registry Format (built by lead agent in P3) The `registry.md` file merges all task sources into a global registry and adds source-type / as-of fields. ```markdown # Citation Registry Built from: task-a.md, task-b.md, task-c.md, task-d.md ## Approved Sources [1] National Geographic — Luddites | https://www.nationalgeographic.com/... | Source-Type: secondary-industry | As Of: 2026-03 | Auth: 8 | From: task-a [2] Cambridge — Rage against machine | https://www.cam.ac.uk/... | Source-Type: academic | As Of: 2012-04 | Auth: 8 | From: task-a [3] OpenAI — Day Horse Lost Job | https://blogs.microsoft.com/... | Source-Type: official | As Of: 2026-01 | Auth: 8 | From: task-b ... [N] Last source ## Dropped x Quora answer | https://www.quora.com/... | Source-Type: community | As Of: 2024-10 | Auth: 3 | Reason: below threshold x Study.com | https://study.com/... | Source-Type: secondary-industry | As Of: undated | Auth: 4 | Reason: better sources available ## Stats Total evaluated: 22 Approved: 16 Dropped: 6 Unique domains: 12 Source-type: official 4 / academic 3 / secondary-industry 5 / journalism 2 / community 2 Max single-source share: 3/16 = 19% (pass) ``` Rules for registry: - [n] numbers here are FINAL — they appear unchanged in the report - Every [n] in the report must exist in the Approved list - Every Dropped source must NEVER appear in the report - If two tasks found the same URL, keep it once with the higher authority score