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Atsushi Haraleft a comment
Hi, all! 👋 I built PromptProof out of a real pain I hit while developing a PDF extraction feature powered by LLMs. The prompt worked perfectly on the sample documents I was given. But once real user data came in, edge cases emerged. When I fixed those, the prompts didn't work well on the sample documents. It became a game of whack-a-mole with no way to measure if I was actually moving forward....
PromptProofTest your LLM prompts with statistical confidence
PromptProof brings statistical rigor to prompt engineering.
Confidence intervals tell you if gains are real, not noise. Test images, videos, and PDFs on major LLMs in one place. Shared datasets, ground truth labels, and role-based access keep your team aligned. In production, trace real user inputs and let team members label them to validate accuracy.
Built by an ML engineer tired of shipping "improved" prompts they couldn't prove with other LLMOps tools - not whether you're actually improving.
PromptProofTest your LLM prompts with statistical confidence