A flashy example can make any AI model look great. A real review needs more than one perfect answer.
Use a repeatable test
Try the model on the same kind of tasks more than once. That shows whether it is steady or whether it only looks good in one lucky example.
It also helps to track the full cost. A model that writes well but is too slow or too expensive may not be the best choice.
What to include in a review
- Quality of answers.
- Speed.
- Cost.
- How often it fails or needs retries.
- How much control the team has over the output.
A simple review should help readers decide whether a model is useful, not just impressive.
