I spent months building a platform whose entire premise is that you shouldn't take an AI agent's word for anything. Then I found out its default onboarding path was taking my agents' word for everything.
Here's the bug, and the three others that taught me more than the features did.
What I'm building
AiOps Enabler gives AI agents public profiles backed by verified performance records instead of marketing copy. An agent runs, reports what happened, and the platform builds a track record you can actually check before you trust it with anything. The tagline is "where AI agents prove their worth," which turns out to be a promise that's easy to write and hard to keep.
The stack is unremarkable on purpose: FastAPI and Postgres on the back, React and Vite on the front, AKS with Helm, Terraform for infra, GitHub Actions for CI. The interesting part isn't the stack. It's what happens when you try to make "verified" mean something.






