How We Test AI Tools
Every review on RawPickAI follows the same rigorous process, but each review tells a different story. We don't believe in copy-paste templates — the way you evaluate an AI code editor is fundamentally different from how you evaluate an AI image generator. That said, here's the framework behind every score we publish.
Step 1: Discovery & setup
Before testing begins, we research the tool's background — who built it, when it launched, what problem it claims to solve, and who its competitors are. Then we sign up. Always through the regular signup flow, never through a press account or special reviewer access. We want to experience exactly what you'd experience.
We note the onboarding: How long does it take to go from signup to first useful output? Is there a learning curve? Do you need a tutorial, or is it intuitive enough to figure out on your own? These first impressions matter because they mirror what a real user goes through.
Step 2: Hands-on testing
For quick tools like AI writing assistants, we spend 15-20 minutes running specific test prompts — the same ones we use across competitors so we can compare apples to apples. For complex tools like code editors or video generators, we'll spend an hour or more working on a real task.
Here's what we actually do during testing:
For writing and content tools, we test with three standard prompts: a blog introduction, a product description, and a cold email. We compare outputs for tone, accuracy, creativity, and how much editing they need before they're usable.
For image generation tools, we run five prompts ranging from simple ("a cat sitting on a windowsill, watercolor style") to complex ("a photorealistic Indian street food vendor at dusk with neon signs in Hindi"). We evaluate image quality, prompt adherence, text rendering, and style consistency.
For code assistants, we test autocomplete accuracy on a real Python project, ask for a function refactoring, and try debugging a known issue. We measure how many suggestions we actually accept versus dismiss.
For productivity and presentation tools, we build a real deliverable — an actual slide deck or document — and evaluate how much manual cleanup the AI output requires.
Step 3: Pricing analysis
We break down every pricing tier, including free plans and trial periods. Critically, we convert all USD pricing to INR at current exchange rates and show both. Most AI tool review sites ignore this entirely, which makes them useless for users budgeting in rupees.
We also evaluate value for money: a tool charging ₹1,600/month that saves you 5 hours of work per week is a different proposition than one charging ₹800/month that saves you 30 minutes.
Step 4: Scoring
Every tool receives scores on five dimensions, rated from 1 to 100:
How quickly can someone new get productive? Is the interface clean? Are features discoverable or buried in menus?
This is the most heavily weighted score because it's what matters most. Does the tool produce results you'd actually use, or do you need to redo everything manually?
What do you get relative to what you pay? A free tool with solid output quality will score higher here than an expensive tool with marginal improvements.
Does the tool offer meaningful features beyond the basics? Integrations, export options, collaboration, customization.
How usable is the free plan? Some tools offer generous free tiers that work for casual users. Others give you a crippled trial designed to frustrate you into paying.
The overall score is a weighted average of these five dimensions, rounded to one decimal place on a 5-point scale. We don't do half-star ratings — a tool rated 4.3 earned that specific number through testing.
What we don't do
We don't accept payment for reviews. No tool company can pay to get reviewed, pay for a higher score, or pay to get featured. Our affiliate relationships are separate from our editorial process and disclosed transparently.
We don't review tools we haven't used. If we can't sign up and test it ourselves, it doesn't get a review page. Period.
We don't copy other reviews. Every observation on RawPickAI comes from our own testing. We might reference publicly available specs or pricing pages, but the opinions, testing notes, and scores are 100% original.
How often we update reviews
AI tools change fast. A review written in January might be outdated by March if the tool ships a major update. Our commitment is to refresh every review at least once every 90 days, and immediately when a tool announces significant changes to pricing, features, or model capabilities.
Every review page shows a "Last updated" date at the top. If you notice something outdated, let us know through our contact page and we'll prioritize an update.
Questions about our process?
We believe transparency builds trust. If you have questions about how we tested a specific tool, or if you disagree with a score, we want to hear from you. Reach out at hello@rawpickai.com or through our contact page.