The unglamorous parts of AI product engineering, done carefully.

I write about what it takes to build AI systems where wrong answers are expensive: looking at your data, determinism, logging and traceability, getting text out of PDFs.

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Isaac Flath

Series

01

Getting Data Out of Documents

OCR on PDFs, scans, and tables: getting accurate text out of messy documents.
0 posts
02

Finding the Right Data

Search, chunking, and ranking: getting the right information in front of the model.
0 posts
03

Seeing What the System Actually Did

Tracing and logging: finding where things went wrong.
0 posts