Trust,
but Trace
A journal on what it takes to make ML systems trustworthy in production: traces, fixtures, contracts, replays. Written from the engineering side.
“Most of what an LLM agent does in production has never appeared in any evaluation set.”
Topics
Recurring threads
4 threads that keep coming back. Click one to see every piece tagged with it.
On the desk
Reading list
What’s on the desk this season.
- 01BookAI Engineering: Building Applications with Foundation Models
- 02PodcastLatent Space — Artificial Analysis on independent LLM evals
- 03BookMultimodal, Real-Time AI Agent Systems
- 04ReferenceEU AI Act, Article 15: Accuracy, robustness and cybersecurity
- 05BookHands-On Large Language Models
- 06PaperConstitutional Classifiers
- 07PodcastPragmatic Engineer — Inside engineering at frontier labs