Methodology

How we test and score

Every tool goes through the same process before it gets a score. We sign up on a real plan, run it on a realistic small-team workload for at least a week, and note where the marketing claims hold up — and where they do not.

The rubric

Each verdict score (0–5) weighs five things:

• Core job. Does it do the thing it is sold for, reliably?
• Time to value. How long from signup to first useful result?
• Pricing honesty. Real cost at small-team scale, including limits, add-ons and overage traps.
• Fit and friction. Integrations, learning curve, day-two annoyances.
• Support and trust. Documentation, response times, data practices.

What the scores mean

• 4.5–5.0 — best in class; buy with confidence.
• 4.0–4.4 — strong choice with specific trade-offs we name.
• 3.0–3.9 — works, but only for a narrow use case.
• Below 3.0 — we say so, and we say why.

Freshness

Pricing and features change fast in AI software. Each review carries a "last verified" date, and we re-check pricing pages on a rolling schedule. If you spot something stale, tell us — we fix it and credit the correction.

Independence

Vendors do not see reviews before publication, cannot pay for a score, and cannot pay to remove criticism. Affiliate commissions fund the site; the disclosure page explains exactly how.