Evals for Hume AI

Hume AI's AI features ship behind brand promises about accuracy, safety, and reliability. Buyers and integrators need to know those promises hold up under adversarial prompts, edge-case workflows, and the long tail of real customer inputs — not just the demo path.

The Corsac eval library for Hume AI measures four dimensions teams care about most when deploying ai platform agents:

• Adversarial robustness — does the agent resist prompt injection, jailbreaks, and social-engineering attempts?
• Workflow quality— does it complete the task buyers were shown in the demo, on inputs that don't look like the demo?
• Safety gates — does it escalate or refuse when it should, and only then?
• Operator quality — does it preserve analyst trust by surfacing the right context at the right time?

Every eval pack above is hand-authored against Hume AI's public product surface and runnable in Corsac with your own data.