Our Methodology

How We Test

We test every AI tool with real-world tasks across multiple use cases. No vendor demos, no cherry-picked outputs — we use the same messy, ambiguous prompts that real users throw at these tools.

Scoring Criteria

Every product receives a score from 0 to 10 based on weighted criteria. Here is exactly how we calculate it.

Output Quality

30%

We run standardized prompt suites across writing, coding, analysis, and creative tasks. Outputs are blind-graded by two reviewers on accuracy, coherence, and usefulness.

Features & Capability

25%

We test every major feature: file uploads, web search, image generation, API access, plugins/extensions, and custom instructions. Edge cases matter.

Value & Pricing

25%

We compare free vs paid tiers, rate limits, per-token costs, and feature gating. We calculate cost-per-task for common workflows.

UX & Integration

20%

We evaluate onboarding friction, response speed, mobile experience, API documentation quality, and integration with popular tools (Slack, Notion, VS Code).

Tools & Equipment

The tools we use to produce consistent, reproducible results.

  • Standardized prompt benchmark suite (200+ prompts across 8 categories)
  • Automated output scoring pipeline
  • Token usage and latency measurement tools
  • Side-by-side comparison framework
  • Real-world task simulations (email drafting, code review, data analysis)

Independence Pledge

  • No sponsored rankings. Our scores are never influenced by advertising or affiliate relationships.
  • We buy everything ourselves. Products are purchased at retail price with our own funds. No vendor-supplied review units.
  • Affiliate transparency. We earn commissions from some links. This funds our testing but never affects our scores. Full disclosure.
  • Corrections policy. If we get something wrong, we update the article with a visible correction notice and date.

Update Cadence

Reviews are updated within 1 week of major model releases. Comparison articles are refreshed monthly. Pricing is verified weekly.

Every article shows its publish date and last update date. If a review is more than 6 months old without an update, we flag it as potentially outdated.

Our Testing Team

The people behind the scores.

Sarah Chen
Sarah Chen Editor-in-Chief Stanford CS, former Google AI product team, YC startup alum
Alex Morrison
Alex Morrison Staff Writer & AI Researcher Former fintech ML engineer, LangChain contributor, 12 published AI tool teardowns
Rachel Okonkwo
Rachel Okonkwo Contributing AI Ethics Researcher PhD candidate in AI Ethics at MIT, former Deloitte AI audit lead, IEEE member