Compare approaches

Honest comparisons of approaches to AI release testing.

• Agnostics vs manual AI testing Manual testing is useful. It is also easy to miss the inputs users will try when they are not following your script.
• Agnostics vs happy-path QA Happy-path QA proves the product works when users behave. Adversarial scans ask what happens when they do not.
• Agnostics vs bug reports after launch Support tickets find the break eventually. Release testing finds it first.
• Agnostics vs garak garak is an open-source probe lab for LLM vulnerabilities. Agnostics is a release workflow that turns adversarial results into a ship decision.
• Agnostics vs LangSmith evals LangSmith evals watch quality and traces in the LangChain world. Agnostics pressure-tests adversarial failures before you ship.
• Agnostics vs writing your own evals Unit tests and homegrown eval scripts give you control. They also leave you to invent the attack catalog, severity, and ship rule.