Best approach for ingesting data to create summaries, and keep track of it?

A user seeks an AI-driven solution to summarize and track insights from various sources, including YouTube videos, emails, X posts, and PDFs, due to an increased workload. They aim to create a private database for querying expert recommendations and new developments. The user has basic Linux, Python, and scripting skills, along with a homelab, NAS, and mini-computers. They are exploring an approach involving yt-dlp, Whisper, transcript cleaning, and SQLite + FTS5 for topic synthesis and search, but are open to other suggestions.

This post details a specific, multi-step technical approach for building a personal AI summarization and tracking system, unlike general discussions of AI tools.