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Prompt Lab

Systematic prompt engineering with ground truth evaluation and self-correction loop.

Key Feature: Self-Correction Loop

Unlike simple validation that silently filters invalid outputs, this skill:

1. Presents vocabulary in prompt - LLM knows valid options upfront
2. Validates response - Pydantic catches invalid tags
3. Sends correction back to LLM - "You used invalid tags X. Valid options are Y. Please fix."
4. Tracks correction rounds - Metrics show how often LLM needed help

This gives the model a chance to self-correct rather than silently failing.

Quick Start