How we review AI tools.

Every listing starts from the tool's own public sources: the vendor's pricing page, feature and product pages, docs, and integration listings. From those we record the structured facts a buyer actually compares - pricing tiers and models, the free plan (if any), the headline features, supported platforms, and named integrations.

We do not invent specs. When a fact is not published, we leave it blank rather than guess. That is why some comparison cells read as a dash instead of a value.

Listings are re-checked on a dated schedule, and each review carries the month its data was verified so you can judge freshness at a glance. When a re-check finds a pricing move, we record it as a dated before-and-after entry in that tool's price history, so you can see what changed and when rather than trusting a single snapshot.

If a tool stops responding across repeated checks, we do not silently delete the page. We mark it as discontinued, date the last successful check, and point you to working alternatives.

The write-up is AI-generated analysis produced by a multi-stage pipeline, then held to a named editor of record. The stages are deliberate and each one runs before a review publishes:

1. Author drafts the analysis strictly from the collected vendor-site facts.
2. Editor tightens the copy and checks it against our editorial rules.
3. Validator confirms the claims trace back to the recorded sources and flags anything that reads like an unsupported experience claim.

Each published review shows a "How this review was made" box with the pipeline version, the verification month, and the vendor sources it drew from. That is the same record we keep internally, surfaced so you can audit it.

The default review is analysis of published information, not a hands-on trial. We are explicit about that rather than implying we personally stress-tested every tool. We also do not attach star ratings we cannot defend: our reviews carry pros and cons drawn from the verified data, not a manufactured score.

The exception is the small set of tools we mark "hands-on reviewed." For those we used the tool on real work and publish the samples we produced. The badge on a review tells you which kind you are reading.

Some listings carry affiliate links, and those are disclosed on the page. A commission never changes our analysis, the price you pay, or which tools we cover. See our affiliate disclosure for the full detail.

Tom Young is our editor of record. Reviews and comparisons are published under that accountability: if something is wrong, out of date, or unfair, it is on us to fix it. Tell us through our contact page and we will correct the record.