AI Engineer. The talk that crystallised the modern "define a Pydantic model, hand it to the LLM, let validation do the rest" pattern, with concrete examples of nested objects, validators that catch hallucinated URLs, and Chain-of-Thought as a typed field. Watch it before re-reading the article's section on validators and you will recognise where its retry and refusal rules come from.
Kept as the origin of the schema-first pattern — watch it to see where the article's validator, retry and refusal rules come from, then implement with whatever structured-output tooling your stack uses.
Learn why schema-first LLM calls need typed objects, validators, retries and explicit handling for malformed or hallucinated fields.
Comfortable with Python and LLM API calls; Pydantic experience helps but isn't required.
Last reviewed: May 18, 2026
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