Find behavioral failures in live traffic
Identifies incorrect AI-agent behavior in production traffic, including errors that do not cause a crash.
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Coding / product dossier
Finds AI-agent failures in live traffic, ranks severity, and gives coding agents context for fixes.
Product brief
Almost every team now runs AI in production, but few know how it behaves once real users show up. The failures are quiet: a wrong refund policy, a made-up order status. Nothing crashes, so you hear about it from your users. three.dev finds those failures in your live traffic on its own and ranks them by severity. Setup is one prompt to Claude Code, Cursor, or Codex. Then your coding agent gets what it needs to write the fix.
Why we selected it
Addresses a concrete production problem: incorrect agent behavior that does not trigger conventional crash alerts. Severity ranking and coding-agent handoff make the findings actionable, with added relevance to currentAI
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Capability scan
Only capabilities supported by the product information we collected are listed here.
Identifies incorrect AI-agent behavior in production traffic, including errors that do not cause a crash.
Orders detected failures by severity to help teams prioritize fixes.
Provides a coding agent with information needed to write a fix.
Supports setup with one prompt to Claude Code, Cursor, or Codex.
Best-fit use cases
FAQ
It finds incorrect AI-agent behavior in live traffic, such as a wrong refund policy or a made-up order status, even when nothing crashes.
It ranks detected failures by severity.
Setup uses one prompt to Claude Code, Cursor, or Codex.
The description says it gives your coding agent what it needs to write a fix; it does not state that three.dev writes the fix itself.