Ask AI to compare tools side by side for a specific use case — include your audience’s skill level and goals in the prompt, and you will get a comparison that goes beyond feature lists to practical fit.
Why Generic Tool Reviews Don’t Help Your Students
When you recommend a tool to your students, you are staking your credibility on it. A generic review from a tech blog tells your student what the tool does. What your students actually need is whether the tool works for someone like them — their skill level, their goals, their tolerance for complexity, and their budget. That is a personalised recommendation, not a feature comparison. AI can help you build one quickly.
The Tool Comparison Prompt
Use this structure in Claude or ChatGPT: “Compare [Tool A] and [Tool B] specifically for [your audience type] who want to [specific goal]. My students are not technical, are aged 45 to 65, and need something they can set up without developer help. Rate each tool on: ease of setup, learning curve, cost, and whether it plays well with WordPress. Include one reason to choose each and one reason to avoid each.” That prompt produces something genuinely useful — a recommendation brief you can share directly or use to write a lesson section.
For tools that change frequently — AI platforms, email marketing software, course delivery tools — you can also ask ChatGPT with web browsing to pull in current pricing and any recent changes. Supplement that with a quick visit to the tool’s own pricing page before you teach it, since AI training data can lag behind pricing updates.
What This Means for Educators
Being known as someone who gives honest, useful tool recommendations builds a specific kind of trust that is hard to earn otherwise. Your students tell others “she actually tests this stuff before she recommends it.” AI-assisted comparison research makes it fast to give that level of due diligence even when you are not personally fluent in every tool you cover.
The Simple Rule
Before recommending any tool in a lesson, run a 10-minute comparison through AI. Focus the prompt on your specific audience rather than general users. Verify pricing and setup requirements manually. Then teach the recommendation with the confidence of someone who has actually thought it through — because you have.
