Building Evaluation into Your Workflow
What you will learn
- Implement the VERIFY framework for systematic AI output evaluation
- Create evaluation rubrics tailored to your team and domain
- Train others to evaluate AI output effectively
- Apply industry-specific evaluation standards for legal, medical, financial, and technical domains
Knowledge check
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Key takeaway
Evaluation must be a habit, not an afterthought. The VERIFY framework (Validate sources, Examine logic, Review for completeness, Identify bias, Find edge cases, Yield judgment) gives you a repeatable process. Teams that build evaluation into their workflow get dramatically better AI ROI than those who review haphazardly.
Practice Exercise
Hands-on practice — do this now to lock in what you learned
Open an AI assistant and try this:
Apply the VERIFY framework to the next AI output you receive — whether it is an email draft, code snippet, or research summary. Go through each letter: Validate sources, Examine logic, Review completeness, Identify bias, Find edge cases, Yield judgment. Time yourself. With practice, this takes under 3 minutes and dramatically improves your output quality.