There’s something both fascinating and frustrating about debating someone who’s deeply entrenched in multilevel marketing.
Recently, I found myself in a back-and-forth exchange with a LegalShield defender — someone who insisted over and over that MLM isn’t a scam, that LegalShield is different, and that residual income, personal belief, and hard work are what separate winners from losers.
But what this individual didn’t realize until the end of the conversation is that I wasn’t doing this alone.
I was using artificial intelligence — and AI is far better at reasoning about MLMs than emotionally invested humans ever will be.
The Conversation That Sparked This Blog
What began as a comment thread spiraled into a debate about everything from recruiting ethics to passive income and the “value” of being a customer before selling. They brought up real estate brokers (a classic MLM deflection), denied any pay-to-play structure existed, and kept insisting the only people who fail in MLM are those who “don’t believe enough.”
Sound familiar?
I calmly countered with facts: income disclosures, churn rates, structural flaws, and the inherent pay-to-play nature of these schemes. I explained how LegalShield — like most MLMs — requires participants to stay “active” through monthly service payments, recruit others to scale, and survive on a razor-thin chance of long-term income.
The individual insisted they had recruited no one. That they simply loved the product. That those who fail are weak, unmotivated, or lazy. That the “residual income” is real — because if you make a sale and someone keeps using the service, you get paid forever.
On and on it went.
AI vs. Emotion: Why I Let the Machine Speak
Here’s what made this experience different:
I let AI handle the logic. I gave it the emotional raw material — and it gave me cold, structured clarity.
AI doesn’t care about how someone feels about LegalShield. It doesn’t get nostalgic about uplines or attached to motivational speeches. It simply looks at the model and says:
This is mathematically stacked against the majority.
Where MLM promoters say, “You get out what you put in,”
AI says, “If 99% lose regardless of effort, the problem is the system — not the individual.”
Where they say, “You have to be a customer to believe in the product,”
AI says, “If you’re required to buy the product to qualify for income, that’s pay-to-play, not belief.”
Where they say, “It’s just like real estate or insurance,”
AI says, “No licensed professional is required to recruit others or buy monthly just to get paid.”
AI cuts straight to the truth.
No loyalty. No denial. Just reason.
But Danny, If Not MLM… Then What?
This is where defenders love to ask:
“Well, what else would you suggest?”
Glad you asked. Here’s a list of legitimate, ethical ways to earn income — none of which involve recruiting your mates into a pyramid.
100% Real Ways to Earn Without MLM Nonsense
Freelancing & Consulting
Sell your skills: writing, coding, design, tutoring, or video editing.
Use platforms like Upwork, Fiverr, or Freelancer.
Affiliate Marketing
Promote real products. Get paid when someone buys — not when someone joins.
Use Amazon Associates, ShareASale, or Impact.com.
E-commerce / Dropshipping
Build your own store with real products and zero recruitment.
Use Shopify, Etsy, WooCommerce.
YouTube / Content Creation
Turn attention into income through ads, memberships, and digital products.
Remote Work
Real jobs, real companies. No Zoom cult required.
Try FlexJobs, Remote OK, We Work Remotely.
Investing in Index Funds / Stocks
Not a quick fix, but compound interest beats most MLM “residual checks” over time.
Online Courses & Coaching (If You’re Qualified)
Teach a skill. Sell your knowledge. Build value, not hype.
The Real Problem: The System, Not Just the People
The irony? The person who defended LegalShield most passionately proved every single point I’ve ever made about MLMs. They insisted they weren’t in it for recruitment, while defending a system that thrives only because of it. They clung to the idea of “blessing” while ignoring the thousands who walk away with less than nothing. And they tried to lecture me on business — while hiding behind an alias and promoting a structure built on churn.
So yes — I used AI.
And it shredded every argument, every excuse, every emotional plea.
Final Thoughts
If you’ve ever wondered whether MLMs are legitimate…
Let AI answer.
Because unlike an uplinked rep trying to protect their income,
AI has no skin in the game.
It doesn’t lie.
It doesn’t spin.
It doesn’t sell.
It just analyzes — and in the case of MLMs, it sees what I’ve seen for years:
A business model that sells hope, hides the math, and blames the victims.
Now I’ll do what I always do:
Publish it. Name it. Let the public decide.
About the Author
I’m DANNY DE HEK, a New Zealand–based YouTuber, investigative journalist, and OSINT researcher. I name and shame individuals promoting or marketing fraudulent schemes through my YOUTUBE CHANNEL. Every video I produce exposes the people behind scams, Ponzi schemes, and MLM frauds — holding them accountable in public.
My PODCAST is an extension of that work. It’s distributed across 18 major platforms — including Apple Podcasts, Spotify, Amazon Music, YouTube, and iHeartRadio — so when scammers try to hide, my content follows them everywhere. If you prefer listening to my investigations instead of watching, you’ll find them on every major podcast service.
You can BOOK ME for private consultations or SPEAKING ENGAGEMENTS, where I share first-hand experience from years of exposing large-scale fraud and helping victims recover.
“Stop losing your future to financial parasites. Subscribe. Expose. Protect.”
My work exposing crypto fraud has been featured in:
- Bloomberg Documentary (2025): A 20-minute exposé on Ponzi schemes and crypto card fraud
- News.com.au (2025): Profiled as one of the leading scam-busters in Australasia
- OpIndia (2025): Cited for uncovering Pakistani software houses linked to drug trafficking, visa scams, and global financial fraud
- The Press / Stuff.co.nz (2023): Successfully defeated $3.85M gag lawsuit; court ruled it was a vexatious attempt to silence whistleblowing
- The Guardian Australia (2023): National warning on crypto MLMs affecting Aussie families
- ABC News Australia (2023): Investigation into Blockchain Global and its collapse
- The New York Times (2022): A full two-page feature on dismantling HyperVerse and its global network
- Radio New Zealand (2022): “The Kiwi YouTuber Taking Down Crypto Scammers From His Christchurch Home”
- Otago Daily Times (2022): A profile on my investigative work and the impact of crypto fraud in New Zealand
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