Agent Testing

What is Agent Testing?

Agent Testing deploys 15+ autonomous AI evaluators to validate chatbots, voice assistants, and phone agents before and after deployment. Upload your context, auto-generate 60–100 scenarios, and get a production-readiness verdict: Green, Yellow, or Red. Scores across 9 quality metrics, including hallucination, bias, toxicity, completeness, and context awareness. Covers chat, voice, phone inbound, phone outbound, and image agents. Catch failures before your users do.

Key features

• 15+ autonomous AI evaluators run in parallel, each specialized in a distinct quality dimension
• 5 agent surfaces: chat, voice, phone inbound, phone outbound, and image
• 9 quality metrics (30+ for phone): hallucination, bias, toxicity, completeness, context awareness, and more
• Auto-generated scenarios: Upload a PRD, doc, or JIRA ticket to create 60–100+ tests instantly
• 10 persona types: Angry callers, confused customers, international speakers, and more
• 200+ voice profiles, 50+ accents, 15 noise presets for realistic voice testing

Use cases

• Pre-launch validation: Verify a new chatbot or voice agent is production-ready before go-live with a Green/Yellow/Red verdict.
• Regression testing: Confirm nothing broke after a model or prompt update by comparing scores to baseline.
• Production monitoring: Upload real call recordings to catch quality drift synthetic tests miss.
• Compliance audits: Generate auditable, reproducible evidence for regulatory documentation.
• Model comparison: Run identical suites on two variants and pick the better performer on data, not demos.