Automated QA for LLM prompts, catching regressions before production.
Product memo
Teams shipping LLM features use PromptLens to catch prompt regressions before they impact users. It fills a critical gap left by manual testing, providing a systematic way to ensure prompt quality. The platform offers automated test suites, visual diffs, and shareable reports, giving developers and QA a specialized toolkit to block bad releases.
For who
Teams shipping LLM features
Solves what
Catching prompt regressions before production with automated QA.
- Automated prompt testing
- Regression detection
- Model comparison
In their own words
Did your prompt change break something?
Replay your worst cases before shipping. See what passed, what regressed, share the results. Free.
Run evals on every prompt change. Compare outputs, score quality, and block bad releases with pass/fail gates.
Commercial cues
Model
subscription
Free tier
Yes
Trial
Available
Pricing Strategy
- • A free tier with project limits encourages initial adoption and product-led growth.
- • The flat monthly fee removes per-evaluation friction for frequent testing.
Operator context
Founded
Jan 2026
Platform
Web app
Audience
Developers
Payments
Stripe
Public footprint
Tech stack
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About PromptLens Expand
PromptLens offers a specialized QA toolkit for teams building with large language models (LLMs). It addresses the critical need to catch prompt regressions before they impact users, a common challenge with iterative LLM development.
Developers and QA teams use shareable reports to compare outputs, score quality, and implement pass/fail gates to block bad releases. This focus on prompt regression testing helps maintain the reliability of LLM-powered features in production.