Making production AI observable, governable, and operable.
I work where AI systems meet production constraints: telemetry, evaluation, security data, and the operating practices behind reliable systems. That perspective comes from years working on these systems inside large enterprises, and from building the tools myself.
Writing
Build notes from systems I actually operate.
A Prompt Change Is a Production Change
Prompt edits alter system behaviour, often in ways no one watching infrastructure can see. They deserve the versioning, telemetry expectations, rollout criteria, and rollback paths every other production change gets.
Silent Failure Is the Real Production Problem in AI
Why the hardest AI incidents are rarely outages. They are the systems that keep responding, keep looking healthy, and quietly stop being useful.
Current
proof