Someone Lists 42 AI Use Cases. The Number Is The Problem. Breadth Without Depth Is Not Expertise.
A guide from Satty.com catalogues 42 ways to use AI, spanning Canva AI for first drafts of presentations, PDFs, videos, and apps, plus Google Workspace integrations. The framing emphasizes AI agents over simple chatbot queries, positioning them as tools to free up time for higher-value work. The piece also covers pitfalls and platform selection guidance.
This illustrates what I call the Menu Fallacy. Presenting 42 options does not teach someone to use AI any more than handing them a restaurant menu teaches them to cook. The underlying principle here is that adoption requires depth in one workflow before breadth across many. Start with a single repetitive task, automate it completely, then expand. The mechanism is progressive integration, not checklist completion.
Satty.com published the guide. It references Canva AI and Google Workspace as specific tools, though the author or organization behind the site is not named in the source material.
- Pick ONE repetitive task you do weekly, such as drafting a presentation outline or summarizing a document. Open Canva and try its AI feature to generate a first draft. Expected outcome: a rough but usable draft you can edit rather than start from scratch.
- Refine the AI output manually for 5 minutes, noting what it got right and what it missed. Expected outcome: you begin to learn where AI helps and where it fails for your specific work.
- Use that same tool for the same type of task three more times this week before adding any second tool. Expected outcome: you develop actual competence in one workflow rather than shallow familiarity with forty-two.