Code-First AI Systems: Why the Model Should Not Run the Workflow
The model should classify, extract, summarize, judge, or propose. Code should own routing, state, validation, retries, evidence, review, and evaluation.
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Tag
Orchestration Layer
Pydantic as an AI Architecture Boundary
LLM output is not application state until it passes a typed boundary. Schemas, validation errors, evidence fields, and versioned contracts make AI workflows easier to inspect and change.
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The Death of the 1,000-Line Prompt
Giant prompts feel productive at demo stage. In production, workflow logic needs to move into code, schemas, routing, validation, evidence, review, and evaluation.
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