Scoring dimensions

Capability / Output Quality — 30%
How effectively the product performs its core jobs.

Features — 20%
Breadth, depth and usefulness of the feature set.

Ease of Use — 15%
Onboarding, interface clarity and the effort needed to achieve useful results.

Value for Money — 15%
What users receive relative to pricing, limits and available alternatives.

Reliability — 20%
Consistency, product maturity, availability and confidence in repeatable use.

How scores are assigned

Editors assess the current product using official documentation, plan structure, observed product behavior where hands-on evaluation has been performed, and the practical fit for the product’s stated use cases. We do not claim that every reviewed tool has undergone a laboratory benchmark or identical test suite. Scores are editorial judgments, not scientific measurements.

Changing products

AI products change rapidly. A score reflects the product at the date shown on the review. Major model, pricing or feature changes can trigger a reassessment.