Atul Yadav

My work for the past few years has been at the intersection of AI and product figuring out what actually gets built vs. what stays on the roadmap, and why those two lists are rarely the same.

Here to learn how builders in this community think. The PH crowd seems to move faster than the environments I've worked in. Curious what that looks like from the inside.

What are you building right now?

I spent most of last year getting a multi-agent AI system into actual production at a European bank. Real transactions, not a sandbox.

Accuracy wasn't the issue. Auditability nearly killed us. Banks don't ask "is it right" they ask "can you show a regulator exactly why it did that." We rebuilt half the product around this after the first compliance review.

Also... nobody mentions that the orchestration takes longer than the model itself. Fallbacks, confidence handling, who reviews edge cases at 11pm. The LLM part was maybe 20% of the work.

And pricing. They want fixed costs, you have variable inference costs. That contract conversation took longer than building the thing. Solve that before you get to legal.