Original research, operating frameworks, and field analysis for teams responsible for production AI systems in complex and regulated environments.
OpenAI has made substantial progress in continuous, full-duplex voice AI. But the architecture gives conversational models more autonomy while making several forms of business control harder to enforce and optimizes TTFA latency at the expense of providing relevant results. The compromises deserve more attention than they're currently receiving.
A reusable decision model can remove task-specific training from the critical path. It cannot remove task specification, representative evidence, calibration, selective automation, replay, monitoring, or change control. What actually changes in the ML lifecycle — and what does not.
A production-oriented guide to TypeSafe AI's Jev and Decision class models: what is confirmed, what has been reverse-engineered, how open-source Jev-like models work, how effectively combine them with generative models, and what actually matters for latency, calibration, serving, and enterprise AI architecture.
