AI app testing for non-deterministic features
Keep your non-deterministic features covered as models, prompts, and outputs evolve over time.
Accelerate AI innovation by 9x with agentic testing
Validate semantic outputs
Define what a correct response means, not what it says or looks like. Evaluate outputs against criteria using intent-based assertions that survive the natural variation of LLM outputs.
Built-in guardrails and safety checks
Validate that AI features respect your defined guardrails, including content policies, response boundaries, and prohibited outputs, consistently across every test run.
End-to-end coverage
Author tests, execute them on demand or in the pipeline, analyze outputs against your criteria, and keep coverage current as your models and prompts evolve.
Build assertions in natural language
Describe what a correct response looks like, evaluating the actual output against your criteria without requiring an exact match.
Your AI features deserve to be tested the way your customers use them
See how mabl validates non-deterministic behavior and catches AI regressions before they reach your users.
Frequently Asked Questions
How do you test an AI application before production?
Define what a correct response means, then test outputs against those criteria instead of exact text. Cover guardrails and the end-to-end flows around the AI feature, too. mabl evaluates AI outputs with intent-based assertions and runs them on demand or in your pipeline.
How do you test AI features that give a different answer every time?
Exact-match assertions fail when the same prompt produces different wording on each run. Instead, test whether the output meets criteria such as accuracy, relevance, or tone. mabl’s natural-language assertions evaluate the actual response against your criteria without requiring an exact match.
How do you test an AI chatbot?
Test full conversations, not single replies, and judge each response on whether it’s accurate, on-topic, and within policy. Retest as models and prompts change. Priceline uses mabl to test Penny, its AI chatbot, alongside the rest of its end-to-end coverage.
