TuneAPrompt evaluates your prompts on 12 weighted criteria across reliability, security, efficiency, and maintainability. Stop guessing — measure what your prompt actually does.
No credit card. Audit your first prompt in under 2 minutes.
Built by practitioners who've audited prompts at scale.
System prompt, user prompt, or both. Add dynamic variables and construction code if you have them. We support all major models — Claude, GPT, Gemini, Mistral.
12 weighted criteria across 4 dimensions. Each weakness is documented with severity, concrete example, and actionable fix. No vague advice.
We don't just point at problems. We rewrite your prompt for you, optionally with secure construction code. Copy, deploy, monitor evolution over time.
Got a prompt that doesn't quite work? Get a structured diagnosis in under a minute. Discover injection vulnerabilities, format brittleness, or cost waste you didn't know existed.
Compare v1, v2, v3 of the same prompt. See your score evolve. Catch regressions before they ship. Demonstrate quality progress to your team or client with hard numbers.
Got outputs that misfired in production? Paste them in. We analyze patterns across cases, identify root causes, and recommend targeted fixes — not generic advice.
A rigorous evaluation grid designed for production AI. Each criterion is scored 1-5 with concrete justification.
All paid plans come with a 14-day money-back guarantee.
For exploring the product
For solo developers and freelancers
For small teams
For organizations with scale and compliance needs
Promptfoo and Langfuse are excellent tools for testing prompts on input/output cases. TuneAPrompt does something different: it audits the prompt itself on a structured rubric, identifies architectural weaknesses (injection risks, format brittleness, cost inefficiency), and rewrites it for you. Many teams use both — Promptfoo for behavioral testing, TuneAPrompt for prompt-level quality.
Any major model. We support prompts targeting Claude (all generations), GPT (all versions), Gemini, Mistral, Llama, and others. The audit grid is model-agnostic — what we measure applies to production prompts on any backend.
No. All plans include a credit allowance that covers the cost of the evaluation engine. You only need an API key if you want to test the improved version against your own production setup, which you can do manually.
Typically 5 to 30 seconds depending on prompt complexity and the model used for evaluation. The first audit from signup takes under 2 minutes including onboarding.
Yes. All data is encrypted in transit (TLS) and at rest (AES-256). API keys are stored with application-level encryption and never logged. We are GDPR-compliant by design. Your prompts are never used to train models.
Yes. No commitment, cancel from your account settings. We also offer a 14-day money-back guarantee on all paid plans.