Designing Deterministic Outputs From Unstructured Messages

The article presents a four-step approach to converting messy, unstructured user messages into validated JSON payloads: define a strict schema with typed fields and confidence scores, extract all information in a single LLM call instead of multi-turn dialogs, validate outputs before executing actions, and handle edge cases for unrecognized intents. It demonstrates the workflow using a real-world hotel guest WhatsApp message containing typos and multiple requests, showing how one message can be reliably parsed into multiple structured actions.