Last updated August 23, 2026
If you’re looking at an AI income program and trying to decide whether to pay for it, here’s the short answer: you can settle most of it yourself in about fifteen minutes, for free, before you spend a dollar.
Three questions do most of the work. Can you explain in one sentence how the program actually makes money? Is there any fee just to get access to the work? Is there an income disclosure showing what regular people actually earned? A “no” to any of those is usually the end of the conversation.
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The six points below are the full version — what I check, where I check it, and what a good answer looks like compared to a bad one. None of it requires a subscription, special software, or any technical skill. It’s mostly knowing which four or five websites to open.
I’ll say this plainly up front: this method won’t tell you a program is a scam. It will tell you what you can verify and what you can’t. That’s a more useful answer, and by the end you’ll see why.
The 15-minute version
If you do nothing else, do these three.
- Can you say in one sentence how it makes money? If the mechanism is only revealed after you pay, stop.
- Is there a fee to access the work? If someone wants to hire you, they pay you. If you’re paying for the privilege of working, stop.
- Is there an income disclosure with real numbers? Not testimonials — a disclosure showing what the typical participant earned. If there isn’t one, stop.
Screenshot that. It’s the part you’ll actually use.
Why this is worth fifteen minutes
The Federal Trade Commission tracks this category directly. In its Consumer Sentinel data, reports of job and employment agency scams tripled between 2020 and 2024, and the money people reported losing to them went from $90 million to $501 million over the same stretch.
Across all fraud categories, people reported losing more than $12.5 billion to the FTC in 2024 — a 25% jump over the prior year. What’s telling is what drove it: the number of reports barely moved. What changed is that far more of the people who reported a scam said they’d actually lost money — 38% in 2024, up from 27% the year before.
Those are reported losses, which means they’re the floor, not the ceiling. Most people who get taken never file anything.
I’m not telling you that to frighten you. I’m telling you because the growth in that specific category — jobs and business opportunities — is where the AI income programs live. The pitch has changed. The structure hasn’t.
Point 1 — Can you say in one sentence how it makes money?
Time: about a minute. Do this first, because it disqualifies most programs before you’ve invested any real effort.
Read the sales page and try to finish this sentence: A customer pays, and then money arrives because ______.
A real business model is boring and specific. “You write product descriptions for online sellers using AI, and they pay you per description.” “You set up a print-on-demand store and earn the margin on each sale.” You may not want to do either of those things, but you can picture exactly what happens.
Here’s what a failing answer looks like. The mechanism only gets explained after you buy. The page uses words like system, loophole, algorithm, or AI does the work for you in place of actually saying what happens. Or — most telling — the page describes the results in enormous detail and the method not at all.
A legitimate business has no reason to hide its business model. The model isn’t the valuable part; execution is. When the model itself is what’s behind the paywall, there’s usually nothing behind the paywall.
Point 2 — Does money only ever flow toward you?
Time: about five minutes. This is the single most reliable signal in the whole method.
Open the sales page, the checkout page, and the terms page, and work through this list:
- Is there any fee to access work? Registration, training, certification, required software, “activation”?
- Is the full price visible before you enter card details, or does it appear in stages?
- Count the upsells between the first page and the receipt.
- Find the refund policy and read all of it. Note the window, the conditions, and whether it requires you to finish the program first.
- Search the terms page for monthly, renew, subscription, and trial. Recurring charges hide in that language.
There’s a distinction here that these programs blur on purpose, and it’s worth holding onto. Paying for a course is legitimate — people sell education, and some of it is good. Paying for access to a job is not. Real employers pay you. So which one is this, actually?
A refund policy that requires you to complete the coursework before qualifying is a policy designed to never pay out. That’s not a technicality. That’s the whole design.
Point 3 — Who is legally behind this?
Time: about ten minutes.
Five checks, in order:
Domain age. Go to lookup.icann.org or who.is and enter the website address. A domain registered four months ago selling a “proven system” is a contradiction sitting in plain sight.
The About page. Are there named human beings? Do those names turn up elsewhere — LinkedIn, other companies, anything that existed before this program did?
The legal entity. The terms of service or the page footer usually names an LLC. Look it up. OpenCorporates covers most US states, and individual Secretary of State registries are the authoritative source. Check when it was registered and whether it’s still active. An entity created three weeks before the launch tells you something.
The address. Real business address, mailbox store, or nothing at all?
The Wayback Machine. This is the one almost nobody does, and it’s frequently the most revealing. Go to web.archive.org, paste in the sales page, and look at it from six and twelve months ago. Did the income claims change? Was this site selling something completely different last year — crypto signals, forex, dropshipping? A page that’s been three businesses in eighteen months is not a business.
Point 4 — Are the income claims backed by anything?
Time: about ten minutes.
Businesses that make earnings claims are expected to be able to substantiate them. In practice, that means a legitimate program publishes an income disclosure statement or earnings disclaimer with real distribution data — what the typical participant earned, and how many earned nothing at all.
Search the site for “income disclosure,” “earnings disclaimer,” or “typical results.”
If you find one, don’t read the headline number. Read the distribution. What did the median person make? What percentage made zero? That figure is almost always the real story, and it’s almost always buried under a heading that sounds boring on purpose.
The gap between the headline number and the median is where most of these programs live. The FTC’s own case files show what buyers actually earned against what the sales pages promised them.
If testimonials appear on the page, reverse-image-search the faces. Google Lens or TinEye, thirty seconds each. Stock photography turns up constantly in this category, and AI-generated portraits now do too.
What failure looks like: no disclosure anywhere on the site. Or a line of small grey text at the page bottom saying results aren’t typical, sitting directly beneath testimonials claiming five-thousand-dollar weeks. Both of those things being on the same page is the tell.
Point 5 — What does the public record say?
Time: about fifteen minutes. This is the step that separates a real check from a guess.
Almost nobody writing about these programs online bothers with this, which is strange, because it’s free and it’s authoritative.
The FTC (ftc.gov). Search press releases and enforcement actions for the program name, the parent company, and the founder’s name. The FTC publishes its cases.
The Better Business Bureau (bbb.org). You’re looking at complaint volume, but more importantly at complaint themes and whether the business responds. Twenty complaints all about billing is a pattern.
Your state Attorney General. Consumer protection divisions publish enforcement actions. Check the state where the entity is registered, too.
Court records. A plain search for the entity name plus “lawsuit” catches most of what matters.
SEC or FINRA — only if the program involves investing, trading, or returns on money you put in. If it does and they’re not registered, that’s not a yellow flag, it’s a red one.
And here’s the part worth internalizing: finding nothing is also a finding. “I searched FTC enforcement actions, the BBB, and my state Attorney General’s consumer division and found no record of this company” is a real, honest, useful sentence. It’s not a clean bill of health, and it’s not an accusation. It’s what you actually know.
Point 6 — Can you find anyone talking about it who isn’t paid to?
Time: about fifteen minutes. The hardest step, because the search results are stacked against you.
Search almost any program like this and page one will be affiliate reviews — people earning a commission on every sale they send. That’s not automatically dishonest, but it isn’t independent, and you need to be able to tell the difference.
How to spot an ad wearing a review’s clothes:
- Does it end in a buy link or a discount code? It’s an ad.
- Does it disclose the affiliate relationship? Honest ones do — read that disclosure.
- Does it describe one specific thing that went wrong? Affiliate reviews almost never do.
- Does the site review dozens of unrelated products in the same breathless tone? It’s a review farm.
Where to look instead:
- Reddit. Search the program name plus “refund,” and the program name plus “scam.” Skip the promotional posts and read the comment replies — that’s where actual users show up.
- Trustpilot, with a caveat: it’s gameable. Read the two- and three-star reviews. The one-stars are often furious and short, the five-stars are often incentivized, and the middle is where the measured accounts live.
- Search the program name plus “cancel” or “chargeback.” People who’ve had a billing fight write about it in detail.
If every result on page one is an affiliate review and you cannot find one unpaid person who has used the thing, that’s your answer for now.
What “I couldn’t verify it” actually means
You’ll notice this method never produces the word scam. That’s deliberate, and not only for legal reasons.
Three outcomes are possible. Verified — the claim checks out against a source you can point to. Partly verified — some of it holds up and some doesn’t, and you can say exactly which. Could not verify — you looked in the places this information should live, and it wasn’t there.
That third one does more work than people expect. If a company won’t say who owns it, won’t publish what participants earn, and can’t be found in any public record, you don’t need to prove wrongdoing. You already have everything you need to keep your money. A business that wants $497 from you and won’t tell you who it is has answered the question.
What a real opportunity looks like
Every red flag above tells you what to walk away from. Here is the other half: what an honest offer sounds like, so you have something to compare against.
It tells you the rate, and the rate is boring. Real online work pays by the hour or in modest monthly amounts, not in daily windfalls. Freelance writing or admin work runs roughly $15 to $50 an hour depending on your skills. Online tutoring, about $20 to $40. Virtual assistance, around $15 to $25. Affiliate income for someone starting out is often $50 to $200 a month, and it takes months to get there.
Those numbers are not exciting. That is the point. An offer that promises more than this in less time is telling you something about itself. The longer version of those rates, and how long each one takes to reach, is in what actually works making money online after 60.
It tells you what the work actually is. A legitimate opportunity can answer four questions before you sign anything: what will I be doing, what skills or experience do I need, how many hours does it take, and when do I get paid. If any of those four stay vague after you have asked directly, there is usually no work behind the offer. Scams stay vague because vagueness is the product.
If you already paid
This happens, and it’s recoverable more often than people assume. Move quickly — most of these routes are time-limited.
- Ask for a refund in writing. Email, not a phone call. You want the paper trail.
- Dispute the charge with your card issuer. Credit cards give you the strongest protection here. Call the number on the back of the card and use the words “dispute this charge.” Do it as soon as you can; the windows are shorter than most people realize.
- Report it to the FTC at reportfraud.ftc.gov. It takes a few minutes. Those reports are what feed the Consumer Sentinel data, and they’re where enforcement actions start.
- File with your state Attorney General’s consumer protection division.
- Cancel any recurring billing directly, and then confirm on your next statement that it actually stopped. Sometimes it doesn’t.
If you paid by bank transfer, gift card, or cryptocurrency, recovery is much harder — which is exactly why programs like this ask for those payment methods. The same recovery steps, applied to phone and email scams rather than paid programmes, are in what to do if you have already been targeted.
Key takeaways
- Three questions catch most bad programs: how does it make money, is there a fee to access work, and is there a real income disclosure.
- Paying for a course is normal. Paying for access to a job is not. Know which one you’re being sold.
- The Wayback Machine will show you what a sales page used to claim. Use it.
- Check the public record — FTC, BBB, your state Attorney General. It’s free and almost nobody does it.
- Most “reviews” you’ll find are affiliate content. Look for someone who describes a specific thing going wrong.
- You don’t need to prove a program is fraudulent. You only need to notice that it won’t tell you who it is.
See the method applied to two real programs: Is Project Apollo AI Legit? What I Could and Couldn’t Verify and Is Income Team X Legit? What I Could and Couldn’t Verify
FAQ
Will this method tell me whether a program is a scam?
No, and that is deliberate. It tells you what you can verify and what you cannot. Three outcomes are possible: verified, partly verified, and could not verify. The third does more work than people expect — a business that wants several hundred dollars from you and will not say who owns it has already answered the question.
Is paying for a course automatically a red flag?
No. Paying for a course is normal. Paying for access to a job is not. If someone wants to hire you, they pay you; if you are paying for the privilege of working, that is the signal. Know which of the two you are being sold.
What counts as a real income disclosure?
Not testimonials, and not screenshots of somebody’s dashboard. A disclosure shows what the typical participant earned — a median figure, and ideally the share who earned nothing. If a programme advertises large weekly numbers and publishes no distribution data, the absence is itself the finding.
I could not find any complaints about the programme. Does that mean it is fine?
No. Finding nothing is a finding, but it is not a clean bill of health. Enforcement lags marketing badly, and an operation that changes its product name every few months is hard to pin down. It means no case has been brought that you can locate. Nothing more.
How do I see what a sales page used to claim?
The Wayback Machine. Sales pages get quietly rewritten, and the earlier version often carries the figures or the guarantee that has since been dropped. It is free and it takes a minute.
Are the reviews I find in search results independent?
Usually not. Page one for almost any programme like this is affiliate reviews, written by people earning a commission on each sale. That is not automatically dishonest, but it is not independent. The quickest test: does the piece describe one specific thing that went wrong? Affiliate reviews almost never do.
Related Reading on Legacy Income Academy
- Making money online after 60: what actually works, what doesn’t, and how long it takes
- Remote work after retirement: online jobs older adults can do with help from AI tools
- How to spot online income scams before they cost you money
Sources
- Federal Trade Commission, Consumer Sentinel Network Data Book 2024 and accompanying press release, “New FTC Data Show a Big Jump in Reported Losses to Fraud to $12.5 Billion in 2024” (March 2025) — ftc.gov
- FTC fraud reporting: reportfraud.ftc.gov
Checked July 2026. Figures are reported losses, which understate actual losses.