How should I evaluate AI outputs in my organization?

Create a rubric before deploying. Define what "good" looks like with specific criteria: accuracy, tone, completeness, safety. Have humans rate a sample of outputs weekly. Track trends over time. Don't just measure speed—measure quality.

When to use this

When rolling out AI tools to teams and needing to maintain quality standards.

When to skip this

For personal use where informal quality checks are sufficient.

Moderate
Extracted: 2024-01-24