Applied AI for the real world
I make AI agents more useful, reliable, and accountable.
I’m Revanth Pattipati, an AI systems and agentic architecture leader with infrastructure roots.
About
From analytics to agentic systems.
My career has been one long exercise in turning complexity into something people can actually use. AI is simply the latest chapter.
About meSelected projects
Systems I have built
I build systems, test their limits, and write about what I learn when reality gets involved.
Agent Native
A project exploring how businesses can decide what outside agents may discover, request, and safely do, with evidence instead of a suspiciously cheerful readiness score.
Agent Reliability
A local, open-source test harness that puts autonomous agents through controlled failures, permission checks, and adversarial scenarios, then produces replayable evidence instead of a reassuring green blob.
Agents With Brakes
A public reference architecture for production-grade enterprise agent platforms with policy, identity, evals, observability, approvals, rollback paths, and failure management.
Latest writing
The Agent Economy Breaks at the Boundaries
Clear explanations of what breaks, what works, and what is worth building next.
Read latest article