AI Builder · Austin, TX
Head of DevRev Labs. I work in the gap between what AI can do in a demo and what it can survive in production. I write about what I learn.
Why most AI systems fail after the demo. Architectures, evaluation frameworks, failure modes, and the guardrails that keep things from going sideways.
Selling intelligence is not like selling software. How buying behavior, sales execution, and revenue systems are being rewritten.
What the latest research, product launches, and policy moves actually mean for builders. Signal over noise.
Anthropic accidentally shipped sourcemaps in an npm package and exposed 512,000 lines of Claude Code internals. What the code reveals about where AI tooling is heading matters more than the leak itself.
The same problem that makes most AI systems useless for serious work is what makes revenue systems so brittle. The fix is the same too.
Everyone wants to ship AI. Almost nobody wants to build the evaluation framework that tells you whether it's working.