How to Choose an AI Tool
A repeatable framework for evaluating any AI tool: fit, output quality, cost, data handling, and exit risk.
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How to Choose an AI Tool
This guide is sample editorial content created during development. Every recommendation will be reviewed and verified before publication.
Most buying mistakes come from judging a tool on a demo rather than on your own work. This framework fixes that.
Five checks before you pay
- Fit: does it solve the exact task, or a nearby one?
- Quality: run three of your own real inputs through it
- Cost: confirm limits and overage pricing on the vendor's site
- Data: check what is retained and whether it trains models
- Exit: can you export your work if you leave tomorrow?
Re-evaluate every quarter
This category moves quickly. A tool that was clearly best six months ago may now be second or third choice.