Hi everyone, I’m working on a fairly ambitious but well-defined project and I’m looking for someone experienced with LLMs / AI pipelines to help build it.
The idea
I want to convert ~400+ hours of YouTube content (trading education from a single expert) into a structured, logically ordered “course/book”. The goal is:
- preserve nuance and reasoning
- reconstruct the author’s decision-making process
- turn scattered videos into a coherent learning system
What the system needs to do
Input:
- YouTube playlists (≈ 418 hours total)
- transcripts (I can provide them manually or via pipeline)
Processing (core of the project):
A multi-step LLM pipeline, roughly: Chunking
- split transcripts into manageable segments Extraction (no loss)
- extract ALL ideas without summarizing Structuring
- group by themes (market structure, risk, etc.) Educational rewrite
- convert into clean, readable learning material
- preserve nuance (no generic AI fluff) Nuance + sanity checks
- detect:
- overgeneralizations
- “motivational” nonsense
- unsupported claims Deduplication
- cluster similar content (lots of repetition across videos) Final output
- structured lessons (Notion or similar)
- readable like a course, not notes submitted by /u/Marginala
Originally posted by u/Marginala on r/ArtificialInteligence
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