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AI-directed development

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Where genuinely new findings come from, and which Canopticon questions are best placed to produce oneThe research that most reliably produces new knowledge out of existing material does one of three things. It joins pieces of evidence that already exist but sit in literatures that never cite each other (Swanson's fish oil and Raynaud's li…Research19 Oct38k charactersVersioning a living research record: git, genetic criticism, and how scholarly publishing tracks changing textsGit is a good model for the mechanism Canopticon needs: dated snapshots, a message saying why each change was made, branches for trying alternatives, and merges. It is a poor model for the reader's view. Git compares files line by line, ha…Research19 Oct36k charactersCorrect but Not Yet Known: The Science of Treating a Fast Intuition as a Verified ConclusionValerie Thompson's "Feeling of Rightness" and Ackerman & Thompson's meta-reasoning framework describe this gate.ResearchSep12 figures · 5 sourcesStateless Partners, Shared Traces: Common Ground, Stigmergy and Naturalistic Decision Making in AI-Directed Software DevelopmentNDM has never been applied to directing coding agents.ResearchSep17 figures · 15 sourcesEight Innovative Animation & Visualization Ideas for Code-First Documentary ProductionSeven of the eight ideas are technically shippable today in a code-first stack (Remotion + Web Audio/Tone.ResearchSep1 figures · 13 sourcesA Unified Cloudflare-Native Research System for Thesis-Depth Work: Landscape, Architecture, and Feasibility (June 2026)Cloudflare Worker, with the LLM-native paid tools (Elicit, Consensus, OpenAI/Gemini Deep Research, Perplexity Sonar) bolted on as optional "synthesis" layers, NOT as the coverage backbone.Feasibility reviewJun2 figures · 20 sources

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Books and other dated works named in this topic's research documents, by year. Each document pill opens the passage that cites it.