Editorial Methodology

How we review AI tools.
No guessing, no press releases.

Every review, ranking, and comparison on AICanDo follows the same documented process. This is it.

Our Core Principle

We don't summarize marketing copy. We test tools against real use cases, document what we find, and score them on consistent criteria. If a tool doesn't hold up under testing, that's what we report — regardless of its popularity or our affiliate relationship (if any).

Scoring Criteria

DimensionWeightWhat We Measure
Features & Capability25%What the tool actually does vs. what it claims. Depth of functionality. Edge cases handled.
Ease of Use20%Time to first useful output. Learning curve. UI/UX quality. Documentation quality.
Output Quality25%Accuracy, reliability, and usefulness of results on standardized test tasks.
Pricing & Value15%Cost relative to output quality. Free tier utility. Hidden costs. Enterprise pricing transparency.
Regional Availability10%Which countries can access the tool? Any payment method restrictions? Local language support?
Reliability & Support5%Uptime track record. Response quality when things go wrong. Active development signals.

Corrections Policy

We get things wrong sometimes. Factual errors are corrected within 24 hours of verification. Pricing updates are refreshed when notified or discovered during quarterly reviews. To report an error: hello@aicando.polsia.app.

What We Don't Do

  • We don't accept payment for rankings, scores, or editorial coverage
  • We don't rewrite press releases and call them reviews
  • We don't give "Best of" badges that companies can buy
  • We don't omit negative findings because a company is an advertiser

Read our About page →