Most real LLM work isn’t chat — it’s extraction: turning job postings, meeting notes, or support tickets into structured data your application can actually use. This project extracts into validated Pydantic objects, with automatic retry when the model returns malformed JSON — the retry-on-malformed-output pattern shows up constantly in production LLM code, and you’ll use it again later in this path.
Structured extraction is one of the most commonly requested production LLM skills — directly applicable to AI Engineer and backend-with-AI roles.