PromptBench
Automated regression testing for LLM prompts.
● The Problem
Every prompt change is a gamble. Teams tweak a system prompt to fix one edge case and break three others. There is no CI/CD for prompts. No test suite. No way to know if your prompt got better or worse.
● The Solution
A testing platform for LLM prompts. Define test cases with expected outputs, run them against prompt versions, and get a pass/fail report. Integrates with CI so prompt changes are tested like code.
Key Signals
MRR Potential
$20K-100K
Competition
Medium
Build Time
1-3 Months
Search Trend
rising
Market Timing
Every company shipping LLM features is discovering that prompt engineering without testing is unsustainable.
MVP Feature List
- 1Test case editor
- 2Multi-model support (OpenAI, Anthropic)
- 3Assertion types (contains, regex, semantic similarity)
- 4CI/CD integration
- 5Prompt version diffing
Suggested Tech Stack
Build It with AI
Copy a prompt into your favorite AI code generator to start building PromptBench in minutes.
Replit Agent
Full-stack MVP app
Bolt.new
Next.js prototype
v0 by Vercel
Marketing landing page
Go-to-Market Strategy
Free tier for individual developers. Write about "prompt regression testing" to own the SEO category. Partner with AI bootcamps and course creators. Target teams already using LLM APIs in production.
Target Audience
Monetization
Usage-BasedCompetitive Landscape
Promptfoo is open-source but CLI-only. Braintrust and Humanloop offer evals but are expensive platforms. Space for a focused, affordable testing tool.
Why Now?
LLM features shipped fast in 2024-2025. Now teams are paying the maintenance cost of untested prompts. Testing is shifting from nice-to-have to required.
Tools & Resources to Get Started
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