How We Test

A review is only as good as the testing behind it. Here's exactly what happens before we publish a verdict on any AI tool.

The non-negotiables

  • We create a real account — free trial or the cheapest paid tier, the same door you'd walk through.
  • We run the same core tasks through every tool in a category, so comparisons are apples to apples.
  • We use each tool for real work, not just demo prompts — actual drafts, actual workflows.
  • We note where it breaks, what's missing, and who should skip it.

The testing process

  1. Sign up like a customer. We go through the standard onboarding — no sales demos, no guided enterprise trials. If the signup flow is confusing, that's data.
  2. Learn the core workflow. We spend enough time to get past the tutorial stage and into real usage: creating projects, generating content, configuring settings.
  3. Run standardized tasks. For each category we define a fixed set of tasks every tool must complete. For AI writers, that means the same blog outline, product description, and email rewrite prompts across all tools.
  4. Stress the edges. We deliberately try the things marketing pages don't show: long documents, tricky formatting, revision workflows, exporting, and cancelling.
  5. Evaluate the full picture. Output quality is only one dimension. We also weigh ease of use, pricing fairness, support responsiveness, and how the tool fits into an existing workflow.
  6. Re-test before major updates. Tools change fast. When a flagship review's facts go stale, we re-test and update the published date — you'll see "Last updated" on every post.

What we score

Every review evaluates the same six dimensions, weighted by what matters for the category:

  • Output quality — Is what the tool produces actually good, or does it need heavy editing?
  • Ease of use — Can a motivated beginner get value in the first session?
  • Feature depth — Does it go beyond the basics when you need more?
  • Pricing fairness — Does the price match the value, and are the plan limits reasonable?
  • Reliability — Does it work consistently, or crash, stall, or lose work?
  • Support & docs — When you're stuck, can you get unstuck without a support ticket?

What we don't do

  • We don't review from press releases or marketing pages. If we haven't logged in, we don't cover it.
  • We don't publish lab-style benchmark scores as if they were scientific. AI output quality is partly subjective, and we say so.
  • Verdicts are never for sale. The testing comes first and the content answers to readers — there are no advertisers to keep happy.
  • We don't accept payment for reviews, placements, or altered conclusions — from anyone, ever.

Corrections

Tools update constantly and we sometimes miss things. If you spot an error in a review, tell us — verified corrections get fixed and the post's "Last updated" date is bumped.