Turn messy tool research notes into a fast “best for / not for me” summary in about 5 minutes. This is for beginners comparing apps, services, or AI tools without wanting to reread every tab again. The goal is faster decisions, not pretending AI can choose for you.

Quick Answer

Paste your own research notes into ChatGPT or Gemini and ask it to sort the details into two buckets: best for and not for me. Tell it to use only the facts in your notes, mark unclear items for manual review, and avoid inventing prices, integrations, or feature limits.

What you need

  • Your own notes from researching two or more tools, apps, or services
  • A free ChatGPT or Gemini account
  • About 2 extra minutes to manually verify pricing, limits, integrations, and current feature availability

Copy and paste this prompt

I am comparing tools and these are my rough research notes. Turn them into a short summary with these sections only: Best for, Not for me, and Verify manually. Use only the details in my notes. Do not invent prices, features, integrations, limits, or conclusions I did not mention. Keep it beginner-friendly and concise.

How to do it

  1. Collect the notes you already have.
    Paste in the details you gathered from product pages, reviews, pricing pages, or your own testing notes.
    Expected result: The AI has enough source material to organize your comparison instead of making one up from thin air.
  2. Ask for the two-way summary.
    Use the prompt above and keep the output short. If the first draft gets fluffy, ask it to rewrite the summary in plain language with one bullet per point.
    Expected result: You get a cleaner snapshot of who each tool fits and where it probably does not.
  3. Force a manual-review section.
    Keep a section called Verify manually so the AI flags anything unclear, outdated, or missing from your notes.
    Expected result: You avoid the classic AI move where uncertainty gets polished into fake confidence.
  4. Trim the summary against your real needs.
    Delete anything that does not match your budget, platform, workflow, or skill level. If you only care about one use case, say so and rerun the prompt with that constraint.
    Expected result: The summary becomes more useful for your decision instead of staying generic.

Example

If your notes say one app has a generous free tier but weak integrations, and another is easier for teams but costs more, the AI can turn that into something like:

Best for: solo users who want a free starting point and simple setup.

Not for me: anyone who needs deeper integrations or advanced automation right away.

Verify manually: current free-tier limits, export options, and whether the integration list has changed.

Common mistakes

  • Letting the AI compare tools you did not actually research
  • Forgetting to verify pricing, limits, and integrations against the live product pages
  • Using vague notes, then wondering why the summary sounds vague too
  • Treating the AI output like a final recommendation instead of a cleanup step

Troubleshooting

The summary feels too generic.
Add more specific notes such as price points, supported platforms, feature limits, or the one workflow you care about most.

The AI keeps inventing details.
Repeat: Use only my notes. If something is unclear, put it under Verify manually.

The result is too long.
Ask for a maximum of 3 bullets under each section.

You are comparing tools for different jobs.
Split the notes by use case first so the AI is not comparing apples to whatever product marketing thinks apples are.

Related reads

Next step

Try this with one real comparison you already have open today. If the summary helps you cut through your own notes faster, keep it as a lightweight decision filter and do the final fact check on the live product pages.