How to choose an AI tool: a seven-question checklist
New AI tools appear constantly, and the best choice depends on what you need to do. This checklist keeps the decision practical.
- Start with the task, not the brand
- Check where your data goes
- Test with three real tasks
- Confirm current pricing and limits
The seven questions
- What exactly is the task?
- What data will I put in, and is any of it sensitive?
- Where does that data go, and may it be used to improve the model?
- What does it cost, and what are the limits on the free plan?
- Can I export my work and leave easily?
- Does it show sources I can check?
- What support and documentation are available?
Test before you commit
Run the same three real tasks in each tool you are considering and compare the results side by side. Note speed, accuracy and how much editing you needed to do.
Check the details
Features and prices change often, so confirm them on the provider’s own website. Read the privacy and data-use settings before you upload anything important.
Keep it simple
One or two tools used well beat a dozen half-learned ones. Choose what fits your workflow and revisit the choice every few months.
I need to [task]. List five questions I should ask before choosing an AI tool for this, and explain why each one matters.
Frequently asked questions
Is a free plan enough?
Often yes for testing and light use, but check the limits and what happens to your data on the free tier.
How often should I review my choice?
Every few months, because tools, prices and policies change quickly.
AI tools, features, prices and policies change quickly, so check each provider’s current terms. Do not enter confidential or personal data into an AI tool unless you understand how it is used, and verify important facts independently.
