EPISODE · Apr 17, 2026 · 45 MIN
Controlling the Chaos: Creating Reliable LLM-Based Applications (E.38)
from Free Form AI · host Michael Berk
LLMs don’t fail loudly, they drift into undefined behavior and take your system with them. The only way to build stable AI systems is to enforce contracts at every boundary, especially when dealing with non-deterministic outputs. Modern Python tools like Pydantic, enums, and structured interfaces aren’t optional, they’re how you turn probabilistic generation into reliable software.00:00 Why LLMs behave like “chaos goblins”03:38 What a contract actually enforces14:56 Real bug caused by missing validation26:32 Why external APIs will break your system44:06 The worst mistake: putting logic in promptsIf you’re not validating every boundary, you’re not building software, you’re gambling.
What this episode covers
LLMs don’t fail loudly, they drift into undefined behavior and take your system with them. The only way to build stable AI systems is to enforce contracts at every boundary, especially when dealing with non-deterministic outputs. Modern Python tools like Pydantic, enums, and structured interfaces aren’t optional, they’re how you turn probabilistic generation into reliable software.00:00 Why LLMs behave like “chaos goblins”03:38 What a contract actually enforces14:56 Real bug caused by missing validation26:32 Why external APIs will break your system44:06 The worst mistake: putting logic in promptsIf you’re not validating every boundary, you’re not building software, you’re gambling.
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Controlling the Chaos: Creating Reliable LLM-Based Applications (E.38)
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