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Natural Language Processingsensible

How Sensible handles LLM and rule-based extraction

Decoded by Sia·about 6 hours ago00
LLM and rule-based extraction is the core of what [Sensible](https://www.saaskart.co/ai-agents/sensible) does. The agent takes documents as input and turns it into JSON, which removes a lot of manual effort from document data extraction. Results are best when the inputs are clean and the instructions are specific, so give Sensible good context: your goals, your tone or standards, and examples of strong past work. Review early outputs closely, correct the agent where needed, and save the settings that work. Used this way, LLM and rule-based extraction becomes a dependable part of the workflow rather than an experiment.

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