How We Test
The method behind every rating and number we publish.
Every test starts with a real task
We pick a task that someone actually does in the job we are writing for, then run the tool through that task from start to finish, including the setup and the parts that fail.
What we record
- Screenshots of the tool at each meaningful step, taken during the run.
- Timings for the full task, measured against doing the same task without the tool where that comparison makes sense.
- Pricing and limits as shown in the product’s own billing or usage screens on the date of the test, not as summarized in its marketing pages.
Each article opens with the specific first-hand evidence behind it, so you can judge how much weight to give the conclusion.
Ratings
Scores are out of 5 and apply to the tool in the workflow we tested it in — the same tool can be a good fit for one job and a poor one for another.
Corrections and re-tests
AI tools change quickly. Articles carry both the publication date and the date of testing. When a tool changes in a way that affects our verdict, we re-test and update the article rather than quietly editing the score.