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Evals for Retool

8 evaluation packs covering adversarial robustness, safety gates, workflow quality, and operator-level checks for Retool AI products.

Search & Knowledge
Use evals for Retool

About Retool

Retool is an enterprise knowledge and search platform that uses AI to surface answers from across an organization's documents, wikis, and tools — reducing the time employees spend searching for information.

Employees

100–2,000

Industry

Enterprise Search & AI

Headquarters

United States

Website

retool.com

Available eval packs for Retool

8 packs ready to run.

Why eval Retool AI

Retool'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 Retool measures four dimensions teams care about most when deploying search & knowledge 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 Retool's public product surface and runnable in Corsac with your own data.