My name is M. I'm a solo founder and self-taught developer based in Houston, TX. I build AI-powered apps β I have an iOS app called DeFilter currently in App Store review, a security scanning platform called Sentinel, and a job marketplace called HireHuman.fyi for connecting humans with companies that prefer non-AI workers.
I'm also a poker dealer by night, which means I think a lot about reading situations in real time β and that's exactly what sparked this idea.
I'm not the most technical person in the room. But I have a vision, I have drive, and I believe the best projects get built when people with different skills come together around a shared idea.
That's why I'm posting here. I want to build this with the community.
We talk a lot about governance, accuracy, and auditability in AI agents. But I keep seeing a gap between the words and the engineering behind them. Many agents have tools, orchestration, memory, graphs, and impressive demos. But when you ask how governance is actually enforced, the answer is often weak. Prompt-level control is not production governance. A production agent needs explicit state design: legal transitions, controlled progression, recovery paths, approval boundaries, and separation between memory, decision, policy, and execution. This article explores the silent crisis unfolding in modern AI development: the urgent need to resurrect the disciplined architecture of state machines