Why we publish verdicts, not reviews

Every AI tool directory reviews things. Features, pricing, screenshots, a score out of five. What none of them do is tell you what to pick — because the moment you commit to a recommendation, you can be wrong, and being wrong is bad for business.

We think the opposite. A directory that won't commit is asking you to do the hard part yourself. So every tool and model in our directory carries a verdict: recommended, conditional, caution, or avoid — for a named kind of user, with the reasoning attached.

Verdicts change, and that's the point

A verdict published once and never revisited is just a review with more confidence. Ours are living: when a model ships a capability that changes the math, the verdict changes, and the change is published in the weekly changelog with the evidence.

The verdict history on each tool page is the receipt. You can see what we recommended in March, why we moved in June, and judge our track record instead of our marketing.

Where the evidence comes from

We run our own operation on these tools — agents drafting content, pipelines reviewing code, scheduled tasks maintaining this site. Verdict changes come from those production runs, not from launch-day demos.

When we haven't used something enough to commit, we say so. A "watch" label means exactly that: we saw it, we're testing it, and we'd rather be late and right than first and guessing.