Here is the short version. Before you pay for another AI tool, run it through nine questions that start with your business, not the tool. If it cannot clearly make you money, save you money, or keep you level with a competitor, you skip it. If it can, you pilot it small before you commit. That is the whole method, and you can run it yourself in a few minutes with the free prompt further down this page.
I built this because I watched too many owners buy AI tools the same way they buy lottery tickets. Something looked exciting, a competitor mentioned it, a sales page promised the world, and the card got charged. Six weeks later the tool sat unused and the subscription quietly renewed. The problem was never the owner. The problem was that nobody had a simple, honest way to decide.
The Problem: too many tools, no real filter
Every week there is a new AI tool that claims it will change your business. Some of them will. Most of them will not, at least not for a business like yours. The trouble is that they all sound the same on the sales page, and you do not have the time to test 40 of them to find the 2 that matter.
So owners fall into one of two traps. The first is buying everything, ending up with a stack of half-used subscriptions that do not talk to each other. The second is buying nothing, waiting for it to get simpler, while competitors quietly pull ahead. Both are expensive. One costs money, the other costs position.
What is missing is a filter. A repeatable way to look at any tool and get an honest answer that fits your actual situation, not a generic review written for a company that looks nothing like yours.
The System: one honest advisor, not a hype machine
The AI Filter turns any AI chat into a skeptical advisor. Not a salesperson, and not a cheerleader. It plays the role of an operator who has put software into real businesses and watched half of it fail to get used. It cares about one question: will this make money, save money, or protect your position once the dust settles and the invoice is real.
It works because it does two things most reviews never do. First, it learns your business before it judges anything, so the answer is built for you. Second, it forces a verdict. Not a list of pros and cons for you to agonize over, but a clear call: adopt, pilot, or skip, with the reasoning and the numbers behind it.
You run it inside a tool you already use, ChatGPT or Claude. You paste the prompt once, answer a few quick questions, then paste in whatever tool you are weighing. It walks the same nine steps every time, which is what makes the answers consistent and worth trusting.
The Process: nine steps that decide
Here is exactly what the filter runs through, in order. You do not have to memorize any of it. The prompt does the work. But it helps to see why each step is there.
Ground it in your business first
Most AI advice is generic. This step kills that. Before the tool is judged at all, it asks about your industry, your size, the exact problem you are trying to fix, the software you already run, who on your team would own it, and how tight the budget is. Then it uses what it knows about your industry to pressure-test the fit. A tool that is perfect for a 200-person agency can be dead weight for a 5-person clinic. Same tool, different answer.
The capability test
Finish one sentence: "With this, we could now ______ that we could not before." If you cannot fill that blank with something concrete, the tool fails right here. Most AI tools do not pass a real capability test. They do something you already do, slightly faster, which is rarely worth the switch.
Fit for your industry
Is the tool built for a business like yours, or for a different size, type, or sector? This step names where tools like this tend to break for companies like yours. Specific to your industry, not a generic feature list.
The money test
A tool has to clearly hit at least one of four things: win revenue you would otherwise lose, do paid work for meaningfully less, take a recurring task off your team, or keep you level with a rival who adopts it. If it hits none of them, it is a toy for you. This step also estimates the rough return and a payback window, with the math shown, so you are not trusting a gut feeling.
Total cost of ownership
The sticker price is never the real price. This step totals what a salesperson leaves out: the tier you would actually need, usage costs that scale, setup, integration with your current tools, the hours your team loses learning it, and the hidden line items like data migration or an extra contractor. You get an all-in first-year number and an ongoing monthly run rate.
Onboarding and adoption
This is where most tools quietly die. Not because they are bad, but because nobody uses them. The step rates adoption difficulty low, medium, or high, and names what drives the rating: how hard it is to get running, who has to own it day to day, how likely your team is to actually use it, and how painful it would be to leave later.
Risk and reversibility
Data security, privacy, any compliance issue specific to your industry, how stable the vendor is, and how easily you can undo the whole thing if it flops. A tool you can back out of in a week is a very different bet than one that locks up your data.
The simpler-path check
Before you buy anything, ask if there is a cheaper or simpler way to get 80 percent of the benefit. That includes using a tool you already pay for, or doing nothing. This one question saves more money than any other step, because the honest answer is often "you already own something that does this."
The verdict: adopt, pilot, or skip
One clear call with a confidence level and one line of why. Adopt now, pilot small first, or skip for now. If it is adopt or pilot, you get the single first step to take this week and a cheap test with a clear success metric. If it is skip, you get what would have to change for it to be worth another look.
Run those nine steps and the fog clears. You stop guessing and start deciding. Most tools do not survive the money test or the simpler-path check, and that is the point. Every clear skip is money and attention you keep for the tools that actually move your business.
