Learning Objectives Apply a structured framework to evaluate any new AI tool Distinguish genuine innovation from marketing hype Know when to adopt early, wait, or skip entirely Why You Need a Framework A new AI tool launches almost every day. Your inbox, social media feeds, and coworkers will constantly surface the latest "must-try" product. Without a framework, you will either: Chase every shiny object — signing up for tools you never use, wasting time and mental energy Ignore everything — missing tools that could genuinely save you hours per week A good evaluation framework sits between these extremes. It helps you quickly assess whether a tool is worth 10 minutes of your time, a serious trial, or a hard pass. The Five-Question Framework When you encounter a new AI tool, run it through these five questions: What Problem Does This Solve That I Actually Have? This is the most important filter. "This is cool" is not a reason to adopt a tool. "This saves me 2 hours per week on meeting notes" is. Red flags: You cannot articulate a specific problem it solves for you The problem it solves is something you experience less than once a week Your existing tools already handle this adequately Green flags: You immediately think of 3 or more times in the past month you needed this It addresses a genuine pain point in your workflow The time savings are measurable How Does It Compare to What I Already Use? Before adding a new tool,…
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Evaluating New AI Tools
A durable framework for evaluating new AI tools as they launch — so you never chase hype or miss something genuinely useful.
In this lesson
- · Learning Objectives
- · Why You Need a Framework
- · The Five-Question Framework
- · The Adoption Decision
- · Maintaining Your Toolkit Over Time
- · Key Takeaways
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