AI Agent Evaluation

Define test scenarios using synthetic customers that reproduce real language patterns, intents, and behavioral edge cases. Each scenario pairs a persona, a mission, and success criteria so results are measurable, not subjective.

Tailor your own scenarios or generate them automatically using existing AI Agents and real-world transcripts.

Execute simulations on demand, on a schedule, or as part of automated regression testing. Run broad sets of conversations that introduce natural variations, quickly revealing the rare behaviors that only surface through extensive, automated testing.

AI Agents rely on APIs and backend systems where varying response paths intensify complexity. Timeouts, server failures, authentication issues, and alternate success paths.

Simulator lets you mock the full range of third-party responses across success, degradation, and error states, exposing how Agents respond without depending on live environments. This hardens mission-critical integrations and reduces risk in production.

Automatically score results against configurable criteria to immediately assess agent performance. Drill into failed conversations to identify friction and pinpoint exactly what needs to change.

Monitor success rate over time to detect regressions early and validate performance after updates.