Why most “best AI tools” lists are useless — and how to actually find what works for you
Here is how most "best AI tools for X" articles are made. A writer copies the structure of existing articles. Each tool has an affiliate program. The list is sorted by commission rate, not quality. You click through to a tool that may or may not solve your problem.
Here is how most “best AI tools for X” articles are made.
A writer searches for the top-ranking existing articles on the topic. They copy the structure. They reach out to the top 5–10 tools in the category, each of which has an affiliate program paying 20–40% commission on referrals. They write a paragraph about each tool — positive, with minor caveats to seem credible — and they sort the list by commission rate, not quality. The article ranks on Google. They get paid. You click through to a tool that may or may not solve your problem.
This isn't a conspiracy. It's an incentive structure. And it means that almost everything written about AI tools online is compromised at the source.
The three ways this fails you
You get the popular tool, not the right tool
Affiliate programs favour tools with the biggest marketing budgets. The best tool in a category is often not the most well-known one — it's the one that solved someone's exact problem, recommended organically, without any financial incentive. Chronicle, a presentation tool, spread through our community because a member tried it and liked it enough to recommend it honestly — including its limitations. No affiliate program. No commission. Just a person saying "this helped me." That recommendation is more useful than any paid ranking.
You get the generic solution, not your solution
A "best AI writing tools" list doesn't know whether you write legal briefs or Instagram captions. A "best AI video tools" list doesn't know whether you're editing hour-long webinars or 15-second product demos. Generic lists produce generic recommendations. The tools that are genuinely best for your specific use case are often buried on page 3, or not mentioned at all, because they're too niche to generate significant affiliate volume.
You get recency bias without context
The AI tool space moves fast. Something that was the best presentation tool six months ago may have been acquired, pivoted, or quietly declined in quality. Affiliate lists don't update when quality changes — they update when commission rates change. A tool that was worth featuring last year keeps appearing in lists long after it should have been replaced.
What actually works
The most reliable tool recommendations come from three sources:
Community discovery
Someone with your exact problem tried something and told you honestly what happened. Not a review. Not an article. A message in a group chat that says "I tried this, it did this specific thing well, this specific thing not so well, here's whether I'm still using it."
Outcome data
Not "this tool has X features" but "people who were trying to solve Y problem used this tool, and Z% of them were still using it 30 days later." This data is rare because it requires actually tracking behaviour over time, not just clicks.
Problem-first search
Starting with what you're trying to accomplish, not with a category or a tool name. "I need to stop spending an hour on Monday morning reports" produces better results than "best AI productivity tools."
Why we built Currly
Currly started as a WhatsApp group. 420+ founders and working professionals asking each other “can anyone suggest an AI tool for…?” — the most repeated sentence we saw.
That sentence revealed everything wrong with how tool discovery works. The people asking weren't looking for a list. They were looking for someone who'd already had their exact problem and solved it. They wanted the Chronicle recommendation — specific, honest, coming from someone with no stake in the answer.
We built Currly to be that at scale. 1,600+ hand-curated tools, no affiliate relationships, no pay-to-rank. A search engine that starts with your problem, not a category. Outcome tracking that shows which tools people actually kept using, not just which ones looked good on day one.
We're not trying to be the biggest AI tool directory. We're trying to be the most honest one. In a space built on commission rates and sponsored rankings, that turns out to be a genuine differentiator.
“You can't build honest discovery on dishonest economics.”
If you've been burned by a “best tools” list before — if you've paid for a tool that looked good in an article and never worked for your actual use case — this platform was built for you.
Search Currly — no affiliate links, no sponsored rankings. Just 1,600+ hand-curated tools and real outcome data.
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