All evals
G

Eval directory

Evals for Granola

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

Productivity AI
Use evals for Granola

About Granola

Granola is an AI notepad for meetings that runs locally on macOS, capturing audio from any meeting tool and generating structured, editable notes with action items and summaries — without bots or calendar integrations.

Employees

~20

Industry

Productivity AI

Headquarters

London, UK

Website

granola.ai

Available eval packs for Granola

7 packs ready to run.

Why eval Granola AI

Granola'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 Granola measures four dimensions teams care about most when deploying productivity ai 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 Granola's public product surface and runnable in Corsac with your own data.