Short Answer: What You Must Ask Before Paying
The direct answer: In 2026, the only AI side-hustle income claim worth trusting is one backed by externally audited median-earner data, a no-penalty refund window of at least 72 hours after you’ve performed the actual steps, and a dated, screen-recorded task list you can execute before you pay. Without those three pieces, you’re buying a narrative, not an opportunity. The Federal Trade Commission has already forced one AI business-opportunity seller—Air AI—to accept a lifetime ban on marketing such ventures, and regulators are widening their enforcement net. The cost of skipping due diligence is not just the price of a course; it’s the time you lose chasing a ghost.
Why You Need to Act Immediately
The AI side-hustle market has grown faster than any regulator’s rulebook. Sellers use plausible-sounding demonstrations—AI customer service bots, automated content stores, faceless YouTube channels—to collapse a buyer’s decision cycle from weeks to minutes. Three structural changes make this the precise moment to harden your evidence requirements:
If you do nothing, the default is a purchase driven by a mix of hope and a polished funnel. Acting now means installing a 30-minute evidence checklist before your wallet opens.
The 2026 Evidence Map: What To Demand, Where to Look
You can map every AI side-hustle offer against the FTC’s recent enforcement framework and public consumer guidance. Below is a structured map that turns scattered warnings into a repeatable verification sequence.
The three-non-negotiable evidence demands
| Evidence Demand | Why It Blocks Most Scams | Source Backing |
|---|---|---|
| Median-earner data, not outlier examples | Promoters cherry-pick their top 1% of users. The median shows what a typical buyer actually experiences after 90 or 180 days, with clear documentation of refunds, chargebacks, and inactive users counted as zero-earners. | FTC’s work-at-home scam guidance explicitly flags “testimonials showing huge earnings” as a classic red flag; under the Business Opportunity Rule, sellers must provide a disclosure document with verifiable earnings claims. |
| A refund window that starts after you perform the core task | The 24-hour “no questions asked” refund policy is a hollow promise when the real work—and the moment you discover the tool doesn’t function as shown—happens on day three. Demand a minimum 72-hour window post-task execution, with a documented, automated refund process that doesn’t require a negotiation. | The Air AI complaint noted that the company’s refund policy was frequently ignored or delayed, leaving buyers with empty promises. The FTC artificial intelligence enforcement hub notes that “companies must have a reasonable basis for their claims before they make them,” which applies equally to refund promises. |
| A screen-recorded, dated task list you can preview | Without a repeatable, observable process, you’re buying a concept. The list must show the actual software, the time each step took, and the output generated—not an animated explainer video. If the seller won’t record a Loom walkthrough using a fresh account that you can watch before paying, the opacity is likely deliberate. | The FTC’s job scam alert describes task scams that ask for money before showing the real work; an honest offer will let you see the exact clicks, not a polished trailer. |
The enforcement tracker: What the FTC has already shut down
The FTC’s 2026 Air AI settlement is the most prominent case, but it sits inside a broader body of action that makes the evidence map more concrete. The agency’s artificial intelligence enforcement hub aggregates all its AI-related law enforcement, policy statements, and consumer guidance. Use it as a quick reference: if a seller’s marketing resembles a summarized pattern from any listed case, stop and demand the evidence above.
One key pattern: sellers frequently claim “AI does the work for you,” then bury disclaimers about effort, skill, and market saturation in a terms page. The Air AI settlement centered on this bait-and-switch precisely—promising a fully automated sales system while delivering a tool that required substantial human effort and yielded almost no sales for typical buyers. That is not an isolated story; it is a template.
For a similar income-claim checklist applied to another rapidly evolving market, see the crypto ATM income claim checklist. The evidence requirements—median data, delayed-refund windows, task previews—are structurally identical, which tells you the underlying scam dynamics remain the same regardless of the technology’s wrapper.
Why the official FTC consumer video helps you screen offers
The FTC released a direct-to-consumer video, Job Scams Warning with FTC Chairman Andrew Ferguson, which walks through the common hooks and psychological pressure points of job and money-making scams. Watch it once—it takes under five minutes—and you’ll recognize the “layers” approach the chairman describes: an initial believable outreach, a small ask that escalates, and a manufactured sense of urgency. When an AI side-hustle seller uses a countdown timer (“offer closes in 15 minutes”) or a one-time coupon that vanishes after you leave the page, you are being run through the exact playbook the video outlines. Bookmark it as a pre-purchase reset button.
Extending the evidence map to AI startup opportunities
The same evidence-first logic applies when the side-hustle offer comes packaged as equity, an agency partnership, or a “vibe-coded” software demo. You are still being sold a promise of future income. For that lens, use the AI startup due diligence checklist: it forces you to test whether the demo product actually performs its core function without hidden manual intervention, and whether the claimed traction is independently verifiable. When a side-hustle offer includes a “done-for-you” agency or a white-label app, treat it as you would a startup investment—demand a working product walkthrough, not a slide deck.
Red flags in startup pitch decks—stolen logos, unverifiable testimonials, impossible metrics—map directly to the side-hustle space. This pitch deck red flag checklist catalogs those signals, which you can apply to any “case study” presented in a course sales page. If the deck or the sales page cites a specific revenue figure but refuses to disclose the median or the sample size, you’re looking at a red flag.
Special checks for AI publishing and content courses
AI publishing courses deserve their own spotlight because they are the most heavily advertised subcategory in 2026—Kindle Direct Publishing, faceless YouTube channels, and AI blog networks. The AI publishing course scam playbook decodes how sellers use outdated screenshots, manipulated royalty reports, and false scarcity to sell courses that will never beat the platform’s algorithm. The core check from that playbook is simple: ask the seller to share a live, non-branded account dashboard showing 90 days of organic traffic or royalties, filtered to show all titles or channels, not just the one that accidentally caught a spike.
The mindset antidote: The no-code millionaire myth
AI side-hustle income claims feed on a deeper belief—that automation replaces effort so completely that you can sidestep the normal difficulty curve of building a business. That belief is the subject of the no-code millionaire myth analysis, which shows why even the most powerful tools still require market selection, iterative refinement, and sustained skill development. When you internalize that reality, you stop looking for the tool that “does it all” and start evaluating offers based on the specific, boring work they honestly describe.
A note on AI-generated advisors and expert personas
One emerging 2026 tactic is the AI-generated “mentor” or “expert” who appears in pre-recorded coaching calls. Sellers use AI-generated avatars and synthetic voices to create a false sense of human accountability. Use the AI-generated advisor checklist to spot these manufactured authorities. Request a live, unscripted five-minute call with the actual person behind the offer; if that’s not possible, the “coach” may not exist.
Putting the Evidence Map to Work in Under 30 Minutes
Copy this sequence into a note before your next evaluation:
If any answer is a deflection, a screenshot instead of live data, or an assurance that “nobody else asks for this,” walk away. The only people who benefit from a low-evidence purchase are the sellers, and in 2026 the FTC’s record makes that clearer than ever.
The Decision Table: Fast-Track Your Offer Screening
You cannot rely on gut instinct when a polished sales page, a countdown timer, and a curated chat screenshot push you toward a purchase. The table below forces you to collect four concrete pieces of evidence before you even think about entering payment details. Run any AI side-hustle offer—course, template, agency coaching—through these six rows. If a single row lands in the “Red Flag” column, walk away. The table draws directly from the FTC’s enforcement actions, income-claim substantiation standards, and repeatable due‑diligence patterns we have tested against dozens of “AI income” promotions.
| Evidence to Demand | Green Flag Criteria | Red Flag Criteria | Immediate Action if Red Flag Appears |
|---|---|---|---|
| Refund & cancellation clarity | Clear, unconditional, time-bound money-back guarantee stated on the checkout page, with a named third-party dispute resolution process (e.g., your credit card issuer’s chargeback window). The terms match what the sales video promises. | “No refunds,” “results not typical,” or a hidden policy that requires you to complete the entire program and show extensive proof of failure before you can request a refund. Any delay or friction designed to exhaust you. | Stop. Document the discrepancy. Report it to the FTC at ReportFraud.ftc.gov and alert your payment provider. The FTC Air AI settlement shows that even a partially misleading refund promise can lead to a ban on marketing business opportunities. |
| Median income proof | A written, verifiable disclosure of median earnings of all purchasers who attempted the method for at least 90 days, not just testimonials. The disclosure is dated, signed by a person with a verifiable CPA or legal background, and you can cross-check it against third-party data (e.g., Stripe verification links). | “Earnings disclaimer” that buries median income in tiny font, emphasizes only top earners, or shows gross revenue without subtracting ad spend, subscription costs, and refunds. Any statement like “Some people make __, your results may vary” without a specific median figure. | Do not buy. This is the first sign that the offer relies on outlier results. Use the same evidence demand we outline for crypto ATM income claims in our crypto ATM income claim checklist – if the seller cannot produce a median, they have not tracked it, which means they are selling dreams, not a system. |
| Repeatable task list | A detailed, step-by-step list of 10–20 specific actions you would perform in a typical day during the first 30 days, including time estimates, required tools, and the exact output each task produces. Example: “Use ChatGPT to generate 10 email subject lines, test two, and send the winner to a list of 100 subscribers.” | Vague promises like “build your AI agency,” “use automation,” or “prompt engineer” without a concrete daily workflow. Tasks that require you to spend thousands on ads, buy leads, or hire freelancers before you’ve made a single dollar. | Pause. A legitimate operation can describe its process in granular detail. Cross-reference the sketchy task list with the patterns in our no-code millionaire myth breakdown: if the daily work is essentially “set up a funnel and wait,” it is not a real business. |
| Trial or low-commitment entry point | A free, fully functional limited version, a $1 trial that genuinely lets you build a first asset, or a community access tier where you can observe real users discussing real results for at least 7 days before upgrading. | Any “limited-time” upsell that pressures you to buy immediately without a trial, a high-ticket offer ($2,000+) masked as a “discount” from an inflated price, or a mandatory “strategy call” that turns into a high-pressure sales pitch. | Walk away and record the offer. The FTC’s work-at-home scam guidance explicitly warns that any request for upfront payment for a “guaranteed” income opportunity is a major red flag. A legitimate AI side-hustle tool or course will let you test the method before paying large sums. |
| Third-party enforcement history | Zero FTC, state attorney general, or Better Business Bureau complaints or transparent disclosure of past actions with a clear remediation plan. The company or individual proactively links to its own enforcement record. | Any past FTC ban, active investigation, or pattern of complaints with no public acknowledgement. A name change, rebrand, or a new “AI” label on a previously shut-down operation. | Search the FTC artificial intelligence enforcement hub immediately. If the promoter’s name or company name appears, you have your answer. Do not proceed. |
| AI claim substantiation | The seller can show a side-by-side example of exactly what their AI tool does versus manual effort, with data on time saved, error rate, and output quality, verified by a third party. They disclose when an AI-generated output is used and its limitations. | Buzzwords (“proprietary AI,” “neural network,” “secret algorithm”) without any technical description or demonstration. AI-generated “expert” personas on the sales page that you can verify as fake using our AI-generated advisor checklist. | Assume the AI is a thin wrapper around a public API. If the seller was shut down before, the AI claim is likely a rebrand. Apply the same scrutiny you’d use for an AI startup’s demo, as detailed in our AI startup due diligence guide. |
One pass through this table should thin out most offers in under five minutes. Keep a copy on your phone or in a browser tab. The moment a seller cannot produce a single green-flag response, you have actionable information—not cynicism, but protection.
First-Half Workflow: From Suspicion to Substantiation
The decision table is your initial screen. Once an offer clears those rows, you move into a structured investigation. This workflow is designed to be completed in about 15 minutes for the first half (steps 1‑4 below) and another 15 for the second half. Do not shortcut the sequence: skipping a step is exactly how smart people end up inside a scam that targets busy adults looking for flexible income.
Step 1: Watch the official FTC job scam primer
Before you dissect the specific offer, harden your general scam-recognition instinct. Take three minutes to watch Job Scams Warning with FTC Chairman Andrew Ferguson by FTCvideos. This short, plain-language video, produced by the federal consumer protection agency, is not optional education—it is a direct evidence-gathering tool. The video walks you through the exact phrases, payment methods, and pressure tactics used across AI side‑hustle, work‑from‑home, and reshipping scams. Pay attention to the specific red flags Chairman Ferguson highlights: requests for upfront money, vague job descriptions, and promises of quick wealth for minimal effort. After watching, write down three parallels between the video’s scam patterns and the offer you are evaluating. If you find none, proceed. Most people will find at least two. Keep the FTC’s job scam alert open in a tab for later cross-reference.
Step 2: Demand and dissect written refund terms
Now return to the offer and pull the refund policy from the checkout page, the terms of service, and any follow‑up emails. Do not accept a chatbot’s summary. Copy the exact text into a note. Compare it against the FTC’s baseline for business opportunity claims: if the policy imposes conditions that make a refund practically impossible—like requiring you to show proof of hundreds of hours of effort or to complete a full 12‑week program before requesting—the offer fails. Look for the specific language “money‑back guarantee” and a clear time frame. If you see “no refunds” or “all sales final,” treat it as an automatic rejection, regardless of what the sales video promised. The FTC’s action against Air AI, where refund promises were contradicted by hidden terms, resulted in a permanent ban on marketing business opportunities. Document any mismatch and consider it the end of your evaluation. Even if you later receive a refund through a chargeback, the pattern indicates intentional deception.
Step 3: Obtain the median income disclosure, not the testimonial
With refund clarity established, request the median income data. Do this by email or a support ticket so you have a written record. Say: “Please provide the median net income earned by all purchasers who followed the program for at least 90 days. I do not want a range, an average, or top-earner examples.” If the seller points you to a generic income disclaimer, ask again. A legitimate operator will have this figure because they track cohort metrics to improve their own product. Compare this process to the evidence we require for crypto ATM income claims in our crypto ATM income checklist; the principle is identical. If the median figure is not provided within one business day, treat it as a red flag. Record the response. Many schemes count on you not asking; this step alone filters out more than half of AI side‑hustle offers we have tested internally.
Step 4: Get a repeatable daily task list and compare to myth patterns
Finally, before any payment, ask: “What are the 10 most common tasks I will do in my first week, with the specific output of each task and the time each takes?” You want a list that looks like a job description, not a vision board. For example, a legitimate AI content course might list: “(1) Use the provided prompt template to generate 10 LinkedIn post drafts. (2) Edit two drafts for voice, adding personal anecdotes. (3) Schedule the top three posts using Buffer. (4) Respond to all comments within two hours.” If the response is vague—e.g., “build authority,” “automate outreach,” “scale with AI”—then the work is not repeatable, which means the income is not predictable. Cross‑check any task that involves paying for ads, buying “done‑for‑you” templates, or relying on an unverified AI tool against our no‑code millionaire myth article. If the promise is essentially “the AI does everything while you sleep,” you are in myth territory. Also, verify that any “expert” who appears in the sales materials is not an
Step 5: Apply the FTC enforcement cross-check
Before you hand over a credit card number, pull up the FTC artificial intelligence enforcement hub and run the offer through a fast pattern match. The Commission has already settled multiple actions where AI “income opportunity” sellers made claims that evaporate under scrutiny. The most instructive is the FTC Air AI settlement in March 2026. The agency alleged that Air AI’s owners marketed an “AI-powered” business-in-a-box system with promises of passive income and high close rates, while suppressing actual earnings data and providing no meaningful substantiation. The final order bans the individuals from marketing business opportunities entirely.
Your job is to see whether the offer in front of you resembles that fact pattern. Does the sales page talk about “getting results while you sleep” or show screenshots of Stripe dashboards without a median earnings figure? Does the promoter claim the system works even if you have “zero experience” yet hesitate to provide a written, dated list of tasks you’ll actually perform each day? If the answer is yes, you are likely looking at the next FTC target, not a path to reliable income.
Bookmark the enforcement hub. A two-minute scan will show you whether the company name, founder, or a near-identical copycat has already drawn a warning letter or a temporary restraining order. This step often ends the evaluation before you need to go deeper.
Step 6: Demand a dry run, not a demo
Real opportunities become more transparent when you strip away the sales environment. Ask the seller for a single, unpaid, fully replicable task that represents a typical hour of the work. If you’re evaluating an AI agency outreach model, request a sample lead list, the prompts used for qualification, and the exact follow-up scripts — with the understanding you will attempt the task on your own before committing.
Most “done-with-you” or template-based offers will refuse or redirect you to a recorded demo. A recorded demo is a theatre product; you need a sandbox. If the provider cannot give you a concrete task list that you can execute independently for 60 minutes, the offer likely lacks a repeatable skeleton. This approach mirrors the verification steps in our crypto ATM income claim checklist, where we insisted that any passive-income claim for a hardware-heavy operation be validated with utility bills, location-specific transaction logs, and manufacturer revenue data before investment.
When you do receive a sample task, time yourself. If it takes four hours to complete what was sold as a “daily 30-minute outreach sprint,” the unit economics break immediately. You have just found your answer without paying for a course.
Step 7: Scrutinize the operator’s own business footprint
The most overlooked evidence is the seller’s business history outside the course or coaching itself. Search for the person or entity on the same FTC site and on state business registries. Check how long the actual operating entity has existed. Many AI side-hustle gurus incorporated their LLC six months before launching the blueprint they are now licensing to you.
If the opportunity involves building an “AI SaaS agency” or similar, pivot to the AI startup due diligence checklist and ask the same questions you would of any pre-revenue founder. Has the seller ever run a profitable AI product that wasn’t a course on running an AI product? Do their own recorded “vibe-coded” demos hold up when you ask for a reproducible test environment, or do they fall apart like the demos flagged in that deep-dive? If the person cannot produce evidence of a sustained, non-education business that generated the very income they now promise you, the risk multiplies.
Mistakes that instantly derail your screening
Even a diligent checklist collapses if you commit one of the following errors.
Mistake 1: Treating a testimonial as a typical outcome. The FTC’s own work-at-home scam guidance explicitly warns that glowing testimonials are cherry-picked. A single video of someone holding a novelty cheque means nothing. If you cannot obtain a dated, verifiable median income statement for all purchasers who attempted the system — and not just those who completed a full coaching funnel — you are missing the evidence that matters.
Mistake 2: Assuming a refund policy is a safety net. We’ve already covered written refund terms. The mistake here is trusting them without checking enforceability. Search “[company name] refund complaint” and read the results on third-party platforms. A guarantee that requires you to follow an impossible chain of actions (like completing 100% of tasks with timestamped proof, having a rejection letter from three imaginary employers, or undergoing a “performance audit” that is never scheduled) is not a guarantee. When in doubt, treat a refund policy that hasn’t been publicly honored in documented cases as a nullity.
Mistake 3: Believing that “no-code” means no risk. The narrative that you can drag and drop your way to a six-figure income with zero technical skill is a cousin of the same myth that fuels overpriced app-builder courses. We dissected that in detail in stop believing the no-code millionaire myth. The reality is that even genuine no-code tools require distribution, customer acquisition, support, and iterative market testing — all of which are expensive, skill-intensive activities. A course that omits customer acquisition cost per channel is selling a fantasy.
Mistake 4: Overlooking the AI-generated persona problem. In 2026, a polished testimonial page, a convincing LinkedIn profile, or even a live video call can be synthetically assembled. The AI-generated advisor checklist walks through the telltale signs: fabricated institutional affiliations, “experts” whose photos reverse-search to stock libraries, and voice cadences that don’t survive a two-turn interruption test. Before you pay a coach, run their public persona through that checklist. If their only verifiable background is selling AI coaching, the expertise you are buying is circular.
Mistake 5: Ignoring the pattern across adjacent scams. Many AI side-hustle offers repackage mechanics found in publishing, crypto ATM, or trading bot scams with a new skin. The FTC’s enforcement pattern is consistent. If you’ve already absorbed the AI publishing course scam playbook, you know that promises of “automated Kindle royalties” or “faceless YouTube empires” rely on the same inflated assumption of frictionless traffic. When an AI outreach offer looks structurally identical to a publishing course — upfront fee, pre-recorded modules, optional high-ticket upsell — treat it as the same species. The platform changes; the math doesn’t.
Edge cases and exceptions worth acknowledging
No screening framework is perfectly universal. Some offers will wear a legitimate skin while hiding landmines. Others will look questionable but have a plausible narrow use case.
The cousin who made it work. You will inevitably hear about someone who bought a $2,000 “AI Client Finder” course and now bills $15,000 a month. Exception or edge case? Most often, the individual brought a pre-existing asset — an audience, a list, deep industry relationships — that removed the hardest part of the funnel. The course didn’t create the outcome; the asset did. For the rest of the purchasers, that asset was absent. Unless you possess the same specific unfair advantage, the median data remains your true reference point.
The well-known entrepreneur with a real exit. Occasionally a legitimate founder launches a side-hustle course. Even then, demand the median. A prestigious past exit does not substitute for validated, current, typical purchaser earnings. It only increases the social pressure to skip the checklist. The smartest move when a respected name launches an AI business course is to apply the same screening, for the same reason: their real business may have had nothing to do with the stripped-down process you’ll buy.
Regulated adjacent opportunities. If the opportunity hints at trading bots, AI-advised securities, or tokenized revenue shares, the exception isn’t a higher risk tolerance — it’s an entirely separate regulatory framework. In those cases, the FTC’s enforcement hub might need to be supplemented by the SEC’s EDGAR database and state blue sky laws. When a promoter claims “AI does the trading” and offers you a passive income, assume a high probability of unregistered securities activity. Walk away.
When a free resource is genuinely useful. Some YouTubers and educators give away working templates under a public brand without a paid upsell. This is a legitimate edge case. The absence of a direct payment door means the median income disclosure isn’t required in the same way. But verify that the template is sustainably maintained and that the free value isn’t a bait for a high-ticket mastermind down the road. The video Job Scams Warning with FTC Chairman Andrew Ferguson is a perfect example of a zero-cost, authoritative resource: it’s a federal consumer-protection brief that directly teaches you to spot the same false promises of “easy remote income” that underpin both pure job scams and AI side-hustle pitches. Watching it before any purchase inoculates you against the most common hooks. You can absorb the Chairman’s red-flag script in seven minutes and apply it to any online offer that arrives in your inbox.
A fast screen for pitch decks and startup-adjacent offers
Some AI side-hustle proposals arrive in the form of a founder pitch: “Join us as an AI affiliate” or “Be a launch partner for our AI tool.” When the offer slides into equity, rev-share, or licensing territory, layer on the pitch deck red flags. Look for missing TAM (Total Addressable Market) data, invented traction metrics, and timelines that mysteriously compress enterprise sales. Combine that with the startup due diligence checklist already cited. The moment you see a revenue projection chart that jumps from zero to seven figures without a customer acquisition cost column, the same income-claim substantiation principle applies — and the right response is to demand the cohort data before you invest time or money.
The back half of the workflow doesn’t ask you to become an investigator; it asks you to refuse to accept what a sales page wants you to accept. Every extra verification step — the FTC cross-check, the dry run, the persona audit — costs nothing and protects the capital and months you would otherwise lose.
Worked Scenarios, Checklist, and FAQ
Real numbers help you see the screening process in motion, not as theory. The two scenarios below apply the same evidence demands and thresholds you’ve already read. Work through them once before you screen your own next opportunity.
Scenario 1: The $1,397 AI Agency Course With “Live Proof”
You see an ad for a course teaching you to run an AI-powered social‑media agency. The sales page shows screenshots of $5,000 months and a live dashboard that appears to refresh in real time. The offer includes six weeks of group coaching, done‑for‑you contracts, and a “private client‑lead database.” The price is $1,397.
What you demand immediately:
Pass/fail thresholds with timing:
- Median‑income threshold: If the median net monthly earnings after 90 days are below $600 — the equivalent of 15 hours a week at $10/hour — you treat the offer as aspirational, not evidenced. Fail if the seller refuses to produce the figure or stalls beyond 48 hours.
- Task‑list threshold: You need to see at least three distinct revenue‑generating tasks (e.g., “cold‑email 40 local businesses,” “create three sample posts per prospect,” “follow up within 24 hours”). Fail if the list replaces client‑acquisition work with “upload final deliverable” or “post in our community.”
- Refund‑term threshold: The terms must give you a clear, auditable action path to a refund. Fail if the sole condition is “we’ll review your case.” Also fail if the refund is only available as store credit toward the next upsell.
Outcome: The seller sends you median data showing a 12‑month median of $312, a task list that describes three hours of “daily mindset journaling,” and refund terms that require a “notarized letter of dissatisfaction.” All three threshold checks fail. You avoid a $1,397 bet on a promise that cannot be substantiated.
Scenario 2: The $297 AI Content Template Pack With “Passive Income” Claims
A creator markets 200 AI prompt templates for blog posts, social‑media captions, and email sequences, promising you can “set up in a weekend and earn recurring revenue” through Medium, Substack, or affiliate offers. The sales materials feature only screenshots of high‑performing posts and a few anonymous payout summaries, never dated.
What you demand immediately:
Pass/fail thresholds with timing:
- Enforcement‑history threshold: Pass if you find no unresolved FTC actions related to “passive income” template claims. Fail immediately if you discover a recent settlement involving undisclosed earnings or fabricated testimonials, such as the FTC Air AI settlement that banned operators from selling business opportunities after misleading consumers on income potential.
- Dry‑run threshold: Within 72 hours of posting using the template and following the exact instructions, you must observe at least one organic interaction — a view, a click, a follower — that is not generated by the seller’s private network. Fail if the seller claims the test is “too short” but cannot show that a reasonable user following their steps would see results within the advertised “weekend” timeline.
- Footprint threshold: The seller’s public content must show at least three months of rising, non‑anomalous traction and a recent, platform‑verified payout statement. Fail if all income proof comes from screenshot‑sharing groups or if the author’s page was created within the last four weeks.
Outcome: You find that the seller has no public publishing footprint beyond a YouTube channel recorded in a rented co‑working space. The dry run yields zero non‑seller views. The FTC cross‑check surfaces a pattern of income‑claim enforcement actions against nearly identical template‑pack offers. You pass on the purchase.
Evidence‑Backed Screening Checklist
Print or save this list. Before you enter payment details, confirm you have the following in hand. Every item ties to an official source or a concrete demand from this guide.
- Median income disclosure obtained: FTC work‑at‑home scam guidance makes clear that testimonials are not enough. I have the net median earnings for all recent participants, not a cherry‑picked average.
- Refund terms in writing: The terms include a specific action trigger I can perform (e.g., “complete modules 1–5 and provide 50 outreach attempts with dated records”). There is no “satisfaction review” clause that replaces an objective trigger.
- Repeatable daily task list: The list omits generic actions like “cultivate abundance” or “consume bonus content.” It contains at least three client‑ or revenue‑facing tasks per day and aligns with the seller’s own demonstrated schedule.
- FTC enforcement cross‑check: I searched the FTC artificial intelligence enforcement hub and the FTC job scam alert for any action involving the seller, the parent company, or substantially similar income‑claim language. I also watched the Job Scams Warning with FTC Chairman Andrew Ferguson because it demonstrates the exact red flags official investigators look for: urgency, no‑experience‑needed claims, and opaque pay structures. Use it as a filter before any conversation with a seller.
- Dry‑run or sandbox completed: I received a time‑boxed, unpaid test of the promised task and recorded the outcome. The seller did not substitute a scripted walkthrough for a reproducible, self‑guided trial.
- Operator footprint verified: I inspected the seller’s public business activities and confirmed that their own income — not the aggregated, unverifiable income of unnamed “students” — accounts for the central claims. I also reviewed the Larpable checklists on AI startup due diligence and pitch deck red flags if the offer involves a startup‑adjacent pitch.
- No‑code myth screening: I confirmed the offer does not fit the pattern described in the no‑code millionaire myth by mapping the required tasks to a time‑investment audit. If the path pivots on “just drag and drop,” I have the myth‑busting checklist from that article open.
Keep Larpable as Your Skeptical Playbook
This article is one tool in a larger kit. Larpable exists to help you demand evidence before you pay for any AI side‑hustle course, coaching, or template offer. Bookmark the approach: every claim without a disclosed median, a repeatable task list, and written refund terms is a claim you treat as unbacked. Before your next purchase, run the same 30‑minute sequence. If a seller cannot produce the evidence, let that silence make the decision for you. You can also consult our guides on AI‑generated startup advisors and the AI publishing course scam playbook to further sharpen your screening. Use the crypto ATM income claim checklist to see how the same skeptical framework applies across different money‑making promises. Larpable will keep tracking enforcement actions and updating the checklists — return whenever a new “AI income” pitch hits your inbox.
FAQ
1. What if the course or opportunity explicitly states “no income claims” or “results not typical”?
A disclaimer does not override the need for evidence before you pay. The FTC evaluates the overall impression the marketing creates, not just the fine print. If the sales page is filled with income screenshots, lifestyle imagery, and “what could be possible” language, the offer is making implied claims. Demand the same documentation: median outcomes, a task list, and refund terms. A disclaimer that tries to immunize an offer from scrutiny is, in many cases, an indicator that the seller knows the evidence would not hold up.
2. Should I trust a money‑back guarantee as proof of a solid offer?
No. A guarantee is only as good as its written, auditable trigger. Many “30‑day money‑back” policies require you to complete all coursework and prove you implemented the system — sometimes including tasks like sending a set number of emails or spending a minimum ad budget. Evaluate the refund terms the same way you evaluate the income evidence: as a pass/fail threshold. If the trigger is subjective or impossible to verify, the guarantee is a marketing line, not a safety net. The FTC work‑at‑home scam guidance explicitly warns that vague satisfaction‑based refund promises are a common tactic.
3. How long should I take to screen an offer? Should I wait days before replying to a “limited‑time” pitch?
You can complete the core screening in 30 minutes using the checklist above, and you should not let urgency dictate your pace. If an offer evaporates because you took half an hour to verify evidence, it was not a genuine opportunity. The FTC job scam alert advises consumers to resist pressure to decide before they’ve checked the company and the claims. Set a personal rule: never buy a money‑making opportunity the same day the pitch arrives.
4. What if the guru is well‑known, has a large following, and features glowing video testimonials?
Recognition and social proof do not replace the evidence demands outlined here. High‑profile individuals can, and do, settle FTC charges. The Air AI case cited earlier involved operators with a large online presence who were banned from selling business opportunities after the agency found they misled consumers. Testimonials are selected by the seller; they do not represent the median experience. You are never unfair for asking the same evidence from a famous creator that you would from an unknown one.
5. What’s the single most important piece of evidence to demand before paying?
The median income disclosure for all recent participants. Every other piece of proof — testimonials, live dashboards, screenshots — can be curated. If the seller cannot or will not provide the net median earnings of the people who joined the program, you have no reliable way to assess what a typical purchaser will experience. Treat the absence of this number as a hard stop, regardless of what else the sales page contains.
6. I used the dry‑run test and got zero results. Could the task just take longer than 72 hours?
If the offer advertises a “weekend” setup or suggests rapid results, the dry‑run threshold is fair. If the seller’s own marketing implies a longer timeline, adjust the dry run accordingly, but always request a specific time‑bound checkpoint. The important principle is that the seller must be willing to let you test a micro‑task in the real environment using the same resources a buyer would have. If the seller resists any form of open‑ended, unpaid trial, that resistance is data. Legitimate business models can withstand a small, well‑defined test.