Richard Ewing

I built Exogram out of frustration.

I was using AI coding agents to build products and kept running into the same problems over and over again: memory drift, hallucinated fixes, broken context, repeated bugs, uncontrolled tool execution, and agents confidently doing things they should never have been allowed to do in the first place.

The worst part was realizing the models were not actually governed. They could generate outputs, call tools, modify systems, and execute workflows probabilistically with almost no real operational control layer between the AI and production infrastructure.

That felt fundamentally wrong.

So I stopped trying to patch around the problem and started building the missing layer itself.

Exogram became the runtime governance and execution authority layer for enterprise AI systems. Every action is evaluated against policy, context, operational boundaries, and verified state before execution is permitted.

The goal is simple:

AI systems should not be trusted by default just because the output sounds convincing.

They should be governable, auditable, bounded, and operationally deterministic before they are allowed to act.

Great product direction!

I think lowering the operational complexity around AI agents is going to matter a lot more than people realize.

The UX looks clean for something handling this many moving parts.