We build and audit AI systems that have to hold up in production — reliable under real traffic, at a cost you can defend, with failure modes you understand before your users find them.

• Audits — send us the system; we show you where it breaks. Eval drift, hallucination under load, cost blowups, p99 tails.
• Builds — production AI infrastructure engineered for the day traffic actually shows up.

Our public demo is a live ops console you can break on purpose: terminate a node, spike the latency, surge the load — and watch the supervisor detect it, recover it, and write the incident receipt itself. Unattended.

→ Try it: richie.network/systems

(The demo is simulated. The engineering patterns are not.)

_{Every production system we ship writes its own postmortems — detection, action, recovery, receipts.}