/cortex-prompt
Designs, versions, and evaluates prompts for LLM-powered features. Builds evaluation suites that test prompts against a representative set of inputs so quality regressions are caught before they reach users. Applies systematic prompt engineering techniques and documents what each version changes and why.
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When to use
When building AI features where prompt quality directly affects output quality and you need more than ad hoc iteration. When prompts are modified without versioning and regressions are hard to track. When a model upgrade is causing output quality changes and you need to understand which prompts are affected.
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