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? 👶🏻🧑🏻‍🦱👩🏻‍🦳🧔🏻‍♂️

Kon'nichiwa min'na 😃😄😁 

Watashi wa genkidesu 😎🤩🤟🙌 

Wie Geht's guys? 👩🏻‍🦱👱🏻‍♂️🧔🏻👳🏻‍♂️ 

Mir geht's gut!!!✌️🤘🙌
#LLM #GenerativeAI #AIEngineering #RAG #MLOps #AIInfrastructure #SystemDesign #AIGovernance #EnterpriseAI #SoftwareEngineering