How I Test AI Tools Before Recommending Them
Last week I counted the AI tools that landed in my inbox in a single day. Fourteen. All of them "revolutionary." All of them going to "10x my productivity." One of them was, as far as I could tell, a login page with a waitlist and a Stripe button.
This is the problem with AI tool reviews right now: most of them aren't reviews. They're affiliate links wearing a review costume. The site gets paid when you sign up, so every tool magically earns five stars, and "cons" sections say things like "the interface is so powerful it might overwhelm beginners."
I got tired of that. So I built an actual process for testing AI tools before I put my name next to them. It's the same process I use for every tool I write about on Daily Crave Hive, and I'm sharing the whole thing here — partly so you can steal it for your own decisions, and partly so you know exactly why you can trust what I recommend.
Here's how it works, start to finish.
Step 1: The 10-Minute Reality Check
Before I test anything, I try to disqualify it. This sounds harsh, but it saves me hours — and honestly, about 80% of tools don't survive this stage.
I open the site and ask four quick questions:
Is there an actual product, or just a landing page? A shocking number of "AI startups" are a waitlist, a demo video, and a "Book a call" button. No product, no review. I move on.
Can I try it without talking to a salesperson? If the only way in is a sales call, that tells me the product isn't ready for a small business owner who just wants to get work done. Great tools let you touch them.
Who's behind it? Two minutes on their About page, LinkedIn, or X. Is there a real team, or is it anonymous? I'm not looking for famous founders — I just want to know someone's accountable if my data lives on their servers.
Does the pricing exist before I sign up? If I have to create an account and enter a card just to find out what it costs, that's a yellow flag. I note it and keep going, but I'm already suspicious.
If a tool clears these four, it earns a spot on my testing list. If it doesn't, it never makes it into a review — good or bad. I'm not going to waste your time or mine on vaporware.
Step 2: I Put It On Real Work (Not the Demo)
Here's the thing nobody wants to admit: every tool looks amazing in its own demo video. Of course it does. They picked the one prompt that works perfectly and edited out the twelve that didn't.
So I don't judge a tool by its demo. I judge it by my Tuesday.
I take a real task from my own work — a client email, a batch of product descriptions, a spreadsheet I actually need cleaned, a blog outline I actually need written — and I run it through the tool like a normal person would. Messy input, real deadline, no cherry-picking.
Then I use it for at least a few days. First impressions lie. Tools that feel magical on day one often fall apart on day three when you hit the thing they're bad at. And tools that feel clunky at first sometimes quietly become the ones you can't live without.
I'm watching for one question the whole time: did this actually save me time, or did it just move the work around? A lot of AI tools don't reduce your workload — they trade "doing the task" for "fixing the AI's version of the task," which is sometimes slower. That distinction never shows up in a demo. It shows up on real work.
Step 3: The Scorecard
Once a tool has survived real use, I score it on the things that actually matter to a small business owner — not the flashy stuff. Here's what I grade:
Setup friction — Could I get to my first useful result in under 15 minutes, or did I lose an afternoon to onboarding?
Real time saved — Honestly, did this give me hours back, or did it just feel busy?
Pricing transparency — Is the real cost clear, or are there per-image, per-message, per-"credit" charges that pile up after you're hooked?
Learning curve — Can a non-technical person use this, or does it need a PhD and a YouTube tutorial?
Support — When I emailed with a problem, did a human respond? How long did it take?
Small-business fit — Does the pricing make sense at a small scale, or is it clearly built for enterprises with a budget line for software?
A tool doesn't need a perfect score. Plenty of great tools are weak in one area and still worth it. But this scorecard forces me to be specific instead of just vibing my way to a rating — and it's why my "cons" sections actually contain cons.
Step 4: The Instant Red Flags
Some things make me drop a tool no matter how good the core product is. If I catch any of these, it doesn't get recommended — full stop:
Fake reviews and testimonials. Stock-photo faces, five-star quotes with no name, a "trusted by 10,000 businesses" with zero of them named. If a company lies about its social proof, I don't trust its product claims either.
Pricing that only appears after signup. Hiding the price until you're emotionally invested is a manipulation tactic, not a pricing strategy.
A "ChatGPT wrapper" charging premium prices. Some tools are just a thin skin over an API you could use directly for a fraction of the cost, adding no real workflow, no integrations, nothing. Charging $40/month for that isn't a product, it's a markup.
No privacy policy, or a scary one. If you're feeding a tool your business data, customer info, or documents, you need to know where that goes. No clear policy is a hard no.
Aggressive cancellation traps. If it takes 20 minutes and three "are you sure?" screens to cancel, that tells me how the company sees its customers.
You can use these flags yourself, by the way — you don't need my whole process to spot most of them in five minutes.
Step 5: The Verdict — Recommend or Skip
After all that, the final call is actually simple. I ask myself one question:
Would I tell a friend who runs a small business to spend their own money on this?
Not "is this impressive." Not "does this have a good affiliate payout." Just: would I genuinely put my friend's cash and time into it?
If yes, it gets recommended, with the honest caveats. If no, I say so — clearly.
And I want to be straight about this part, because it's the whole point: I've rejected tools with great affiliate programs. Tools that would've paid me well to say nice things. I skipped them because they didn't earn it. That's the entire reason this process exists. The moment I start recommending tools because they pay me instead of because they're good, my reviews are worth exactly nothing — to you and to me.
The Whole Process in One Breath
So that's it: a fast reality check to kill the vaporware, real-work testing instead of trusting demos, a scorecard for what actually matters to small businesses, instant red flags that override everything, and a verdict based on one honest question.
It's not complicated. But it's the difference between a review you can act on and an affiliate link pretending to be advice.
This is exactly how every tool on Daily Crave Hive gets tested before it shows up in a recommendation. No shortcuts, no "sponsored enthusiasm," no five stars for showing up.
Now I'm curious about you: do you have your own way of vetting AI tools before you commit? Or is there a specific tool you'd want me to run through this process? Drop it in the comments — if enough people name the same one, I'll test it next and report back, warts and all.
