Your question is Parse LLM Outputs Reliably. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are building a workflow where a language model returns structured fields that downstream code must parse without manual cleanup. The model may answer in free text, add extra commentary, or omit required keys when the prompt is vague or the input is messy.
How do you handle prompt engineering and parsing outputs reliably?