PromptEval is a prompt engineering platform for developers and AI teams
building with LLMs. It covers the full prompt lifecycle — from evaluation
and iteration to versioning, conflict detection, and production deployment.
The core is a prompt quality scorer: paste any prompt and receive a score
from 0 to 100 across four dimensions — clarity, specificity, structure,
and robustness — with a full technical breakdown and concrete
recommendations on what to fix and why.
From there, the platform extends across the entire workflow:
- Prompt Library with full version history, so teams iterate without
losing what worked before
- Production Iterator for surgical, targeted improvements to existing
prompts without rewriting from scratch
- Playground to test prompts against real scenarios before they touch
production. Includes A/B testing.
- AI-powered rewrite that delivers an improved version of any prompt
instantly (Pro)
- Prompt Map, a visual conflict graph that flags when instructions
contradict each other — color-coded by severity
- REST Evaluation API to integrate prompt quality scoring directly into
CI/CD pipelines (Team)
- Library Slug API to serve versioned prompts from PromptEval to
production apps at runtime, eliminating redeploys every time a prompt
changes (Team)
Built for prompt engineers, LLM developers, and teams who ship AI
products and need to treat prompts as a first-class engineering
artifact — versioned, scored, and deployed with the same rigor as code.
