AI Should Discover. Deterministic Systems Should Execute.

Agentic AI can look impressive in a demo. Production is where the difficult questions begin.Can the system be audited? Can its decisions be reproduced? What happens when the underlying model changes? Can it meet compliance requirements, control costs, and guarantee reliable execution?In this episode:• Why autonomous-agent architectures struggle at production scale• The difference between AI reasoning and system execution• Why predictability matters more than adding more AI• How hybrid architectures balance intelligence and control• When AI-discovered solutions should become deterministic workflowsNext episode: Why reasoning is expensive—and execution should become cheap.