Why Claude is the right model for video archives

Three reasons. First, the 200K context window comfortably fits 8-12 hours of converted video at typical talk pacing. Second, Sonnet 4.6 and Opus 4.7 are unusually good at faithful citation — they will quote a specific moment from a transcript with the timestamp attached, rather than paraphrasing vaguely. Third, Claude Projects make it trivial to maintain the corpus: convert once, upload once, query forever.

Pattern that works: one Project per topic (e.g. "RAG Systems", "Distributed Databases", "Product Strategy"). Convert every relevant talk, podcast episode, or course module to Markdown via Video to Markdown, drop the .md files into the Project's knowledge base. Every Claude.ai conversation in that Project then starts with the entire archive available — ask "synthesise everything these three speakers said about chunk size" and Claude cross-references all of them with attribution.

The recurring conference workflow

For yearly conferences (NeurIPS, KubeCon, AWS re:Invent, internal company offsites), build the Project once and append year-by-year. Naming convention: 2026-conference-name-talk-slug.md. Claude handles 50+ files in a Project comfortably, and historical comparisons ("how has the community's position on X evolved across these three years") become trivial queries.

Combine with PDF papers (PDF for Claude), web articles (URL for Claude), and audio podcasts (Audio for Claude) for a complete topic knowledge base across modalities.