Blog
98.3% vs 96.3%: the cost-accuracy tradeoff on invoice extraction
A real benchmark comparing Claude Opus vs Haiku+Sonnet on 105 labeled invoices and receipts. The accuracy gap is 2%. The cost gap is 12×. Here's where it actually matters.
I rebuilt my extraction pipeline so you could hand it to an auditor
What it actually takes to make an AI document extraction pipeline trustworthy — eval sets, confidence scoring, audit logs, and the numbers behind it.
Using FFmpeg for video compression
Mastering Video Compression: How to Optimize for the Web with FFmpeg