How we test AI tools

Every ToolRiot test begins with a simple question:

Can this tool do the job it claims to do?

Our lab agents follow a written test plan and save the results, screenshots, files, and logs. A person then reviews that evidence, decides what it actually proves, and approves every conclusion before anything goes live.

How the process works

1. We choose real tasks

We test the kinds of things an actual user would try, not artificial benchmark prompts.

2. The ToolRiot Lab runs the test

Depending on the product, that may mean installing software, using an API, working in a browser, or running a command line tool.

3. We check the evidence

We review the output, screenshots, logs, and saved files. If the lab caused the problem, we don't blame the tool.

4. A person makes the final call

Agents handle the repeatable work. A human decides what the results mean, approves the public claims, and chooses whether anything should be published.

Two types of coverage

Tested and selected

These are tools that clearly delivered during our testing and earned a full recommendation.

Guides and showcases

These cover tools that may be useful for a narrower audience or situation. We explain exactly what we verified and what we did not.

The rules we follow

• If our environment caused the problem, we say so.
• If a task did not finish, we do not pretend it did.
• If a limitation could change your decision, we include it.
• Affiliate relationships never change our judgment.

The lab is automated. The judgment is not.

See also our editorial policy, our affiliate disclosure, and how to reach us with corrections.