Why Your AI Lies in Production

Most AI failures don’t crash systems.

They distort decisions.

This episode breaks down why LLM-powered products fail after deployment.

The issue is not model quality.

It is system design.

Topics covered:

Why probabilistic models fail in deterministic workflows

The missing layer between prototype and production

How retrieval, tools, and evaluation change outcomes

The cost problem no one models early

What reliable AI systems actually look like

This is a shift from building AI features to operating AI systems.

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Stay tuned.

Regards, Top Voice.

Maido guys? 👶🏻🧑🏻‍🦱👩🏻‍🦳🧔🏻‍♂️…

The skinny

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