Austin, TX
I build AI systems
that actually ship.
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.
What I write about
Agentic AI in production
Why most AI systems fail after the demo. Architectures, evaluation frameworks, failure modes, and the guardrails that keep things from going sideways.
AI go-to-market
What changes when you're selling intelligence instead of software. How buying behavior, sales execution, and revenue systems need to catch up.
The AI industry
What the latest research, product launches, and industry moves actually mean for people building with AI.
Latest essays
View all →When infrastructure gets commoditized, data becomes the moat
Anthropic just made agent infrastructure a commodity. That doesn't threaten companies whose moat is data. It threatens companies whose moat was plumbing.
What the Claude Code leak actually reveals about building AI agents
Anthropic accidentally open-sourced 512,000 lines of Claude Code internals. Forget the drama. The code is a masterclass in agentic architecture, and every company building AI agents should be studying it.
Revenue systems need memory
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.
Get notified when I publish
No spam, no nonsense. Just a short email when there's a new essay.