AI Should Discover. Deterministic Systems Should Execute.

<p>Agentic AI can look impressive in a demo. Production is where the difficult questions begin.</p><p>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?</p><p><strong>In this episode:</strong></p><p>• Why autonomous-agent architectures struggle at production scale<br>• The difference between AI reasoning and system execution<br>• Why predictability matters more than adding more AI<br>• How hybrid architectures balance intelligence and control<br>• When AI-discovered solutions should become deterministic workflows</p><p><strong>Next episode:</strong> Why reasoning is expensive—and execution should become cheap.</p>