Podcast Brain
I turned 140 episodes and 75.2 hours of conversation into a searchable, correctable record.
The archive
I turned 140 episodes and 75.2 hours of conversation into a searchable, correctable record. The archive makes years of accumulated thinking usable without pretending that a search result is already a fact.
The durable unit is not a generated summary. It is a result that can travel back to an exact source, survive correction, and keep its uncertainty attached.
The retrieval rule
Search produces leads. An exact-source pass decides what graduates into reusable knowledge. That boundary protects the record from a fluent model collapsing wording, attribution, and interpretation into one confident answer.
The source index shown here is the durable first layer: stable episode order, titles, dates, and runtimes. Because speaker attribution can still fail at the edges, any result that matters returns to its exact source before it graduates.
What AI did
Local transcription, diarization, and indexing make the corpus searchable. An exact-source pass decides what becomes reusable knowledge.
I designed the archive, retrieval model, and the rule for when a result graduates to truth.