Manus New AI Email – This Will Change How I Make Money With Email Leads  

In the fast-changing world of digital marketing, trends come and go. One year it’s TikTok ads, the next it’s chatbots, and before that it was Facebook groups. But there’s one channel that has quietly remained powerful despite all the shifts: email marketing. 

“Email is still the number one way to get leads and make sales, but the way people are doing it is broken.” That truth highlights the real problem. Email itself hasn’t lost its value—it’s the way most marketers use it that has become outdated. 

The Enduring Power of Email 

Social platforms are attractive, but they’re unpredictable. Algorithms change, accounts get flagged, and reach can collapse overnight. Email, on the other hand, is stable. Once someone is on your list, you own that connection. 

The problem is that too many businesses don’t use email effectively. Large lists often produce little engagement because they’re full of people who never asked to be there or who feel bombarded with irrelevant messages. “You can have 100,000 people on your list and if nobody opens your emails, that list is worthless.” 

The Mistakes Most Marketers Make 

Before diving into the AI-driven solution, it’s important to see why traditional email often fails. 

• Buying Lists Instead of Building Them: Some marketers still purchase cold databases, hoping for shortcuts. But these lists are usually disengaged, uninterested, or completely irrelevant. They lower open rates and damage sender reputation. 

• Sending the Same Message to Everyone: One-size-fits-all emails don’t work anymore. A CEO, a freelancer, and a small business owner all face different challenges. “Most people are still copy-pasting the same pitch, and it doesn’t work anymore.” 

• Focusing on Quantity Over Quality: Too much emphasis is placed on the size of the list instead of its engagement. “I’d rather have 1,000 leads that actually want to talk to me than 50,000 who ignore me.” 

• Minimal Personalization: Using a name tag like “Hi [First Name]” isn’t real personalization anymore. Audiences want relevance to their situation, not just their name at the top of a generic pitch. 

The Problem With Traditional Email List Building 

Email marketing has been around for decades, but the way many people still use it is outdated. Instead of building meaningful connections, businesses end up spamming inboxes with irrelevant messages. The issue isn’t with email itself—it’s with the methods used to build and manage lists. 

Here are the biggest problems with traditional email list building: 

Buying Leads Instead of Earning Them 

Marketers often purchase massive databases, hoping for quick wins. But these lists are full of unqualified, disengaged contacts who never asked to be contacted. The result? Poor open rates, higher spam complaints, and wasted effort. 

Cold Outreach Without Relevance 

Cold emailing isn’t dead—but lazy execution is. Too many messages look like copy-paste templates with no personalization. 

Without relevance to the recipient’s business, industry, or challenge, these emails get deleted instantly. 

Obsessing Over List Size 

Bigger lists are often seen as better, but size doesn’t equal impact. An engaged list of 1,000 will outperform a disengaged list of 50,000 every time. 

One-Size-Fits-All Messaging 

Sending the same email to every subscriber is a guaranteed way to be ignored. Different people have different needs—a freelancer doesn’t think like a CEO, and a startup founder doesn’t care about the same solutions as a corporate executive. 

Generic mass emails treat them all the same, and that’s why they fail. 

Why Traditional List Building Fails 

To sum it up, traditional methods struggle because they: 

• Focus on quantity instead of quality 

• Ignore personalization and context 

• Damage trust by sending unwanted messages 

• Confuse “sending more” with “building relationships” 

That’s why so many campaigns end up with poor open rates, weak replies, and disappointing ROI. 

“The future of email isn’t blasting more people—it’s sending the right message to the right person at the right time.” 

This is exactly where AI comes in to fix the gaps. 

Manus’ New AI-Powered Email Approach 

The old way of building and blasting email lists isn’t cutting it anymore. Today’s inboxes are flooded, people are more skeptical than ever, and generic outreach is a quick path to the spam folder. That’s why Manus developed a new approach—one that uses AI to make emails smarter, more relevant, and more effective. 

What Makes This Approach Different? 

Traditional email campaigns rely heavily on human guesswork. Marketers try to segment lists manually, write one-size-fits-all copy, and then hope something sticks. It’s inefficient and often frustrating. 

How Manus Uses AI for Email 

Here’s a breakdown of how his AI-powered method works in practice: 

• Smarter Lead Identification: Instead of chasing every possible contact, AI filters for prospects who are actually relevant. It studies industry, behavior, and other signals to find the best matches. 

• Automated Personalization: No more “Hi [First Name]” and nothing else. AI generates messages that reference the recipient’s context—like their role, company, or recent activity—making it feel written for them. 

• Better Segmentation: AI goes beyond basic tags like “subscribed in April.” It segments based on actions, interests, and likelihood to engage, which means each email is more aligned with what the reader cares about. 

• Timing Optimization: People don’t check email at the same time, and not every day is equal. AI analyzes engagement patterns to determine when each recipient is most likely to open and reply. 

• Continuous Learning: The system improves as it goes. Each open, click, or reply helps refine future campaigns. Instead of running blind, marketers get smarter with every email sent. 

Why This Works Better Than Old Methods 

Think about how traditional cold outreach feels: generic, irrelevant, and mass-produced. Now compare that with an email that mentions your specific pain points, reaches you at the right time, and speaks in a tone that feels natural. Which one are you more likely to respond to? 

This is why AI-driven emails stand out—they don’t feel like “marketing,” they feel like conversations. 

Traditional Email vs. AI-Powered Email 

Here’s a side-by-side view of the difference between old methods and Manus’ AI approach: 

Aspect	Traditional Email Marketing	AI-Powered Email Approach (Manus)
Lead Sourcing	Purchased lists, cold databases	AI filters for relevant, high-quality leads
Personalization	“Hi [First Name]” and generic templates	Contextual references (role, company, industry, behavior)
Segmentation	Manual, based on basic tags	Dynamic, based on actions and engagement signals
Message Style	Copy-paste pitches	Tailored outreach that feels conversational
Timing	Random or one-time blasts	AI-optimized delivery windows
Scalability	Hard to personalize at scale	Automation enables personalization at scale
Results	Low open/reply rates	Higher engagement, meaningful conversations

The Human Element Still Matters 

One misconception about AI is that it replaces the human marketer. That’s not the case. Manus emphasizes that AI should enhance human communication, not replace it. The technology handles the heavy lifting—research, segmentation, timing—while the marketer sets the strategy, oversees the messaging, and nurtures the leads once they respond. 

This balance ensures that emails feel human, not robotic. The AI gives you scale, but the human touch keeps it authentic. 

Benefits of AI-Driven Email Campaigns 

Switching from traditional email blasts to AI-powered outreach is more than just trying a new tool—it’s about changing the way we connect with people. So, what makes this new approach better? 

Higher Engagement 

Generic emails are ignored because they feel irrelevant. With AI, subject lines and content become more personal, referencing someone’s role, industry, or challenges. That’s why open and reply rates climb higher. Instead of being deleted, messages spark conversations. 

Meaningful Conversations 

Traditional blasts usually lead to unsubscribes. AI outreach flips this. Emails feel more human, leading to replies that actually matter—questions, requests for more info, or interest in booking a call. 

Time and Cost Savings 

Personalizing emails at scale used to take hours of manual work. AI now handles the heavy lifting—research, segmentation, and timing—so even small businesses can run campaigns that look professional without a full sales team. 

Healthier Lists 

Sending fewer, more relevant emails keeps lists “clean.” Instead of burning out subscribers with irrelevant pitches, you only contact those most likely to engage. This improves deliverability, protects reputation, and extends the life of your list. 

Do’s and Don’ts 

Here’s a quick guide to getting the most out of AI-driven campaigns: 

Do: 

• Personalize beyond first names 

• Use AI to prioritize high-quality leads 

• Keep messages conversational and natural 

Don’t: 

• Buy email lists—AI can’t fix bad data 

• Automate so much that emails sound robotic 

• Chase volume over engagement 

Smarter, Not Louder 

The biggest benefit of AI is the mindset shift. Traditional email relied on sending more. AI makes it possible to send less, but better. When every email feels like it was written for the reader, inboxes don’t feel spammed—they feel understood. 

“Email isn’t dead—it’s just being done wrong.” 

Practical Tips for Applying Manus’ AI Email Method 

AI in email marketing isn’t just for tech giants anymore—it’s becoming accessible to anyone who wants to make their outreach smarter. Manus shows that you don’t need massive lists or expensive tools to make a big impact. What you need is a simple framework that uses AI to help you write better, send smarter, and connect deeper. 

“Email is still the number one way to get leads and make sales-but the way people are doing it is broken.” So let’s walk through how to fix it step by step. 

Step 1: Start With the Right Leads 

AI can’t do much with bad data. If your list is made up of random emails bought off the internet, your results will stay poor. The key is to start with relevant, permission-based leads. 

Tip: Instead of collecting anyone and everyone, focus on quality. AI tools can scan LinkedIn, websites, or behavior signals to find prospects who are likely to be a good fit. 

Step 2: Segment Smarter 

Most marketers split lists into broad groups—like “new subscriber” or “old subscriber.” That’s not enough. AI can take segmentation much further by analyzing: 

• Industry 

• Company size 

• Role or title 

• Recent online activity 

• Engagement with past emails 

This means your message to a startup founder will look very different from your message to a corporate executive. 

Tip: Use AI to build micro-segments so each group feels like your email was written specifically for them. 

Step 3: Personalize Beyond First Names 

Adding “Hi [First Name]” isn’t real personalization anymore. People know that’s automated. Instead, AI can insert insights that show you understand their context. 

For example: 

• Referencing their industry: “I noticed you’re in the fitness coaching space…” 

• Mentioning a common challenge: “Many coaches at your stage struggle to manage check-ins efficiently…” 

• Offering a solution based on that pain point 

These touches make your message sound thoughtful, not generic. 

Step 4: Optimize Timing 

When you send is just as important as what you send. Most marketers blast emails on Tuesday mornings because “that’s what everyone does.” The problem? That’s when inboxes are the most crowded. 

AI can analyze when each subscriber is most likely to open and reply. Some people are active late at night, others during lunch breaks. Sending at the right moment increases the chance of being seen. 

Step 5: Keep It Conversational 

Even if AI helps generate the content, the tone has to feel human. The best emails read like they came from a real person, not a corporate robot. 

Tip: Avoid jargon-heavy or overly salesy language. Keep it short, simple, and natural. Think of it as writing to one person, not a list. 

Here’s a quick structure you can follow: 

• Start with a personal opener (“I noticed you’ve been expanding into…”) 

• Acknowledge a common challenge 

• Present a simple, relevant solution 

• End with a soft call-to-action (“Would you be open to a quick chat?”) 

Step 6: Test and Learn 

One of the best things about AI is that it gets smarter over time. Every open, click, or reply feeds the system and helps refine future emails. 

Tip: Don’t just “set it and forget it.” Monitor what works—subject lines, tone, timing—and let AI help you adjust. The more you test, the sharper your campaigns become. 

Step 7: Balance AI With Human Touch 

AI is a tool, not a replacement. It helps scale personalization, but you still need to step in when prospects reply. Building trust, answering questions, and closing deals requires the human element. 

Quick Checklist: Getting Started With AI Email 

Here’s a simple checklist you can use to put Manus’ method into practice: 

• [Control]Build a quality, permission-based list 

• [Control]Use AI tools to segment by industry, role, and behavior 

• [Control]Personalize beyond names—reference real context 

• [Control]Schedule emails when recipients are most active 

• [Control]Keep emails short, conversational, and relevant 

• [Control]Track engagement and improve over time 

• [Control]Be ready to step in personally when leads reply 

Conclusion: Smarter Email, Stronger Connections 

Email marketing hasn’t lost its power—it’s simply been misused. The old way of blasting lists and hoping for clicks is broken. What Manus shows us is that the future of email lies in being smarter, not louder. With AI, even small businesses can reach the right people, send messages that feel personal, and start conversations that actually matter. 

When you focus on quality over quantity, optimize timing, and keep your tone conversational, email becomes a tool for building trust rather than spamming inboxes. 

Now it’s your turn. If you’ve been struggling with low open rates, unresponsive lists, or wasted outreach, consider applying AI-powered strategies. Start with better leads, personalize deeply, and let technology help you scale while you focus on the human side of closing deals. 

 

How To Start Affiliate Marketing – The Boring Video You Need 🙂 Part One 

Affiliate marketing often gets sold as an easy way to “make money while you sleep.” You’ve probably seen videos of people flashing screenshots of earnings or promising instant success if you just follow their method. The truth is more grounded. Affiliate marketing does work, and it can be incredibly rewarding, but only if you approach it with focus, effort, and ethics. 

“There is no magic button that you push. This takes work and it takes effort. But for those willing to do it, I think it can be very rewarding.” 

Let’s break down what affiliate marketing really is, how it works, and what you need to do to actually get results—without hype or shortcuts. 

What Affiliate Marketing Really Is 

Let’s start with the basics. Affiliate marketing is simply a partnership between a business and someone (the affiliate) who promotes its products or services. You earn a commission when someone takes an action through your promotion—this could be a purchase, a lead submission, or even a free trial signup. 

Think of it like being a digital middle person. 

“Affiliate marketing is basically a business over here who wants customers and you over here who can get customers. And there you go—that’s how affiliate marketing works in a nutshell.” 

Here’s a simple way to visualize it: 

Role	What They Do	Example
Merchant	The business offering products/services.	Amazon, Bluehost, Nike, Flex Seal
Affiliate (You)	Promotes the merchant’s products to the right audience.	Blogger, YouTuber, TikTok creator
Customer	Buys or signs up after clicking the affiliate’s link.	A visitor purchasing through your link
Network (Optional)	Acts as a middleman managing offers, tracking, and payments.	Commission Junction, MaxBounty, Impact

So the process is simple: 

1. A business wants customers. 

1. You promote their product through your link. 

1. A customer buys or takes action. 

1. You get paid a commission. 

Why Affiliate Marketing Works 

Affiliate marketing has grown into a massive industry (over $31 billion projected market size), and there are good reasons for that: 

• Low risk for businesses – They only pay when results happen. 

• Low barrier to entry for affiliates – You don’t need to create a product, handle shipping, or deal with customer service. 

• Scalable – Once you figure out how to drive traffic to offers, you can repeat and grow. 

• Trackable – Every click, lead, and sale can be monitored. 

But while it’s simple in concept, success depends on understanding the details—like what commissions mean, how cookies work, and how to pick the right niche. 

Ethics and Transparency in Affiliate Marketing 

One of the biggest mistakes beginners make is thinking they can just throw up links and make quick cash. That mindset leads to shady tactics and eventually burns trust with audiences. The truth is, transparency isn’t just a legal requirement—it’s a trust builder. 

“If I was out there saying, ‘Hey, this is my favorite type of coffee,’ but I don’t disclose that I was paid to say that, then that’s an ethics issue.” 

Why Transparency Matters 

• It’s the law. Regulators like the FTC require affiliates to disclose relationships. 

• It builds credibility. Being honest doesn’t hurt sales. 

• It protects your brand. Cutting corners can destroy trust. 

“I’ve tested it. There’s no difference in conversions from being upfront versus not.” 

Ethical Do’s and Don’ts 

Do: 

• Always disclose affiliate links (“I may earn a commission at no extra cost to you”). 

• Promote products you’ve tested or believe in. 

• Provide real value and insight, not just a sales pitch. 

• Research the merchant—are they reliable, ethical, and worth associating with? 

Don’t: 

• Hide the fact that you’re an affiliate. 

• Recommend low-quality or scammy products just for money. 

• Overhype earnings or mislead people. 

• Fall for “get rich quick” affiliate schemes. 

Questions to Ask Before Promoting Any Offer 

1. How is this company making money? 

1. How will I be paid? 

1. Is the product genuinely useful or valuable? 

1. Would I recommend this to a friend or family member? 

If you can’t answer these honestly, don’t promote it. 

The affiliate marketing space is filled with flashy courses and “gurus” trying to sell the dream. But as the speaker warns: 

“Don’t get into anything based on hype. Do your due diligence. Research it.” 

How Commissions Really Work 

The entire reason affiliate marketing exists is because of commissions. This is the system that determines how you get paid for your work. Understanding commissions is crucial, because the wrong assumption can leave you working hard but earning very little. 

“A commission is the payment made to affiliates for successful referrals. So, I get someone to do X, this company pays me Y.” 

Different Commission Models 

There are several ways merchants and networks structure payouts. Each comes with advantages and challenges. 

Commission Model	How It Works	Example
RevShare (Percentage)	You earn a percentage of each sale.	Amazon pays 1–10% depending on category.
CPA (Cost Per Action)	You earn a flat rate when someone completes an action (sign-up, trial, lead).	Hosting companies often pay $50–$100 per signup.
CPL (Cost Per Lead)	You earn when a lead is generated (email, phone, form submission).	Insurance companies paying $10–$50 per lead.
Tiered Commissions	Payouts increase based on your performance.	Sell 100+ products in a month = higher % commission.
Recurring Commissions	You earn ongoing revenue as long as the customer keeps paying.	Software subscriptions paying 20–30% monthly.

Start Your First Website Now

Find Your Profit Niche Here

Example: Small vs. Big Ticket Items 

A common beginner mistake is chasing only “big ticket” offers, assuming bigger means better. But in reality, smaller commissions often add up faster because they’re easier to sell. 

“High-ticket affiliate marketing has not been my biggest earner. Actually, my biggest earner has been smaller-ticket stuff.” 

Scenario 1: Small Ticket 

• Product: $50 kitchen gadget 

• Commission: 10% ($5 per sale) 

• Sales: 200 per month 

• Earnings: $1,000/month 

Scenario 2: High Ticket 

• Product: $1,000 course 

• Commission: 30% ($300 per sale) 

• Sales: 2 per month 

• Earnings: $600/month 

Even though high ticket pays more per sale, it can be harder to convert. Smaller, impulse-friendly products may generate more consistent income. 

Cookie Duration and Tracking 

Another overlooked part of commissions is cookie tracking. When someone clicks your affiliate link, a small file (cookie) tracks whether their future purchase counts for you. 

• Amazon: 24-hour cookie. If they buy within a day, you earn. If not, you don’t. 

• Other programs: 30-day, 90-day, or even “lifetime” cookies. 

• Lead-based cookies: If someone signs up with their email, they’re tagged to you permanently. 

“Once the lead is stamped to the affiliate, if they ever buy anything, that lead is stamped to you forever.” 

The longer the cookie, the better your chances of getting paid. Always check this before committing to an affiliate program. 

Key Takeaways on Commissions 

• Don’t assume “high ticket” is always better. 

• Look at conversion rates, not just payout. 

• Check cookie length before promoting. 

• Mix commission types—combine small, recurring, and occasional big-ticket items for stability. 

Choosing the Right Niche 

If commissions are the fuel of affiliate marketing, your niche is the vehicle that drives your success. Pick the wrong one, and you’ll struggle no matter how hard you work. Pick the right one, and you can build authority and income faster. 

“In my opinion, this is the most important part of affiliate marketing. You get this wrong, you’re going to struggle.” 

What Is a Niche? 

A niche is a specific, focused segment of a larger market. Instead of “fitness,” you might focus on “yoga for beginners over 40.” Instead of “cooking,” maybe it’s “budget-friendly air fryer meals.” 

The more specific your niche, the easier it is to: 

• Stand out from competitors. 

• Build trust and authority. 

• Create targeted, relevant content. 

• Find the exact audience you want. 

Broad vs. Narrow Niches 

Too Broad	Better Niche Choice
Cooking	Air fryer recipes for college students
Fitness	Muscle gain for men over 50
Technology	Reviews of budget-friendly laptops
Finance	Credit repair tips for students
Pets	Dog training for apartment living

The Niche Selection Checklist 

When picking a niche, ask these four key questions: 

1. Do people care about it? – Is there search traffic, communities, or demand? 

1. Can I reach them? – Is the competition reasonable, or are you up against huge brands? 

1. Can I make money? – Do affiliate products exist with good commissions? 

1. Can I scale it? – Can you expand into related topics later without losing focus? 

“I always find the market first. If you go into something that has no traffic, you’re never going to get that far.” 

Example Niches That Work 

• Home & Kitchen: Air fryers, non-stick pans, coffee machines. 

• Health & Fitness: Supplements, home workout equipment, yoga programs. 

• Technology: Web hosting, AI tools, affordable laptops. 

• Finance: Budgeting apps, debt management, insurance. 

• Hobbies: Fishing gear, photography equipment, gardening tools. 

Remember, authority is easier to build when you focus on one small market first. Later, you can branch out once you’ve established yourself. 

“Why not focus on one really good thing with one really good product or focus? That tends to do a lot better.” 

Landing Pages and Conversions 

Driving traffic to your affiliate link is only half the battle. What really determines success is what happens after someone clicks. That’s where landing pages come in. 

A landing page is simply the page where your visitors arrive after clicking a link. It could be your own custom page or the merchant’s page, but the goal is always the same: get the visitor to take one specific action. 

“If you get a bunch of traffic and your landing page doesn’t convert, you just wasted a bunch of traffic.” 

Why Landing Pages Matter 

• They shape the first impression of your offer. 

• They direct focus toward a single goal (signup, purchase, or download). 

• They can dramatically increase conversions compared to sending traffic directly to a product page. 

Key Elements of a High-Converting Landing Page 

1. Clear headline – State the benefit upfront. 

1. Compelling subhead – Reinforce the promise. 

1. Focused call-to-action (CTA) – Only one primary goal per page. 

1. Trust signals – Testimonials, reviews, or guarantees. 

1. Mobile-friendly design – Most traffic is mobile; your page must load fast. 

1. No distractions – Fewer links = higher conversions. 

Common Mistakes to Avoid 

• Too many CTAs (confuses visitors). 

• Long forms that scare people off. 

• Cluttered design with too much text. 

• Slow-loading pages that make people bounce. 

Quick Tips for Better Conversions 

• Use bullet points instead of long paragraphs. 

• Keep forms simple (name + email is often enough). 

• Test your CTA button text (“Get Started” often outperforms “Submit”). 

• Use visuals or demos to show the product in action. 

• Add urgency without being manipulative (e.g., “Limited offer” if true). 

Landing Page Types That Work Well for Affiliates 

Landing Page Type	Best For
Bridge Page	Introduces the product, warms up visitors before sending to the merchant.
Review Page	Compares products, shows pros/cons, links to the affiliate offer.
Opt-in Page	Collects emails before sending people to the merchant, builds long-term value.
Bonus Page	Offers extra perks (guides, templates) for purchasing through your link.

Using a landing page instead of sending visitors straight to the product can be the difference between 0.5% conversions and 5% conversions. 

“The landing page has to match the promise. If the ad says ‘free guide,’ the page better give them that guide right away.” 

Thinking Like a Business Owner 

Affiliate marketing is often marketed as a side hustle you can do without much thought. But if you really want to make it work, you need to treat it like a business, not a quick cash grab. 

“There is no magic button that you push. This takes work and it takes effort.” 

Why the Business Mindset Matters 

• Consistency pays off – One blog post or video won’t make you rich, but dozens over time can. 

• Tracking is everything – Without knowing what’s working, you can’t improve. 

• Reputation is your brand – Burn trust once, and it’s nearly impossible to rebuild. 

• Systems save time – Automating email follow-ups, repurposing content, and batching tasks all make growth easier. 

Key Business Practices for Affiliates 

1. Track your numbers. Use tools like Google Analytics or affiliate dashboards to see what traffic sources convert. 

1. Diversify traffic. Don’t rely on one source (e.g., just TikTok or just YouTube). Spread across SEO, email, and social. 

1. Build assets. Websites, email lists, and loyal audiences are things you own. Social platforms can change rules anytime. 

1. Reinvest. Put some earnings back into tools, ads, or outsourcing to grow faster. 

1. Stay compliant. Follow FTC guidelines and program rules so you don’t lose your affiliate accounts. 

Pro Tips for Long-Term Success 

• Start with one niche. Don’t spread too thin. Get results in one area first. 

• Document everything. Keep notes on what offers, ads, and content formats worked. 

• Learn basic SEO. Search traffic compounds over time and can bring free leads for years. 

• Focus on value. Don’t just push products—solve problems. If people trust you, they’ll buy what you recommend. 

• Have patience. Most affiliates don’t see consistent results for months. Stick with it. 

A Simple Growth Framework 

Here’s a repeatable approach many affiliates use: 

1. Pick a profitable niche. 

1. Choose 2–3 affiliate products. 

1. Create valuable content around them. 

1. Build an email list with a freebie. 

1. Send people to a landing page. 

1. Test, track, and improve. 

“The best affiliate program is the one your audience wants.” 

That single line sums up the mindset shift: your business isn’t about you, it’s about your audience. The more you understand their problems, the easier it becomes to recommend solutions they’ll actually pay for. 

Conclusion 

Affiliate marketing isn’t a secret loophole or a quick-fix money hack. It’s a real business model that works when you put in the effort, build trust, and stay consistent. By connecting the right people with the right products, you create value for everyone involved—the customer, the merchant, and yourself. 

“All I need to do is reach a small subset and do it really, really well.” 

That one thought can guide your entire strategy. You don’t need millions of clicks or massive traffic. You just need the right audience, focused offers, and a system that keeps working for you over time. 

Key Takeaways for Success 

• Affiliate marketing is simple in concept but requires real effort. You promote products, earn commissions, and scale with focus and consistency. 

• Transparency matters. Always disclose affiliate relationships and stick to ethical promotions. 

• Commissions vary. Learn the differences between revshare, CPA, CPL, recurring, and tiered programs. Check cookie durations before promoting. 

• Niche selection is critical. Go narrow, build authority, and expand later. 

• Landing pages drive conversions. Focus them on one action, keep them clear, and test for improvements. 

• Think like a business owner. Track numbers, diversify traffic, build long-term assets, and reinvest in growth. 

• Patience and persistence win. Success doesn’t come overnight, but the compounding effect of consistent effort pays off. 

How She Built a Thriving Business With a Small Audience in a Small Market 

When most people imagine building a successful online business, they picture millions of subscribers, viral videos, and constant buzz on social media. The story of Bernardet Joy challenges that belief. With only about 6,000 YouTube subscribers, she built a business generating over $360,000 a year—and more than a million dollars in revenue since she began. 

This is not a story of instant fame or overnight success. Instead, it’s about persistence, creativity, and the realization that you don’t need a massive audience to create a meaningful, profitable business. 

From Debt to Financial Freedom 

Back in 2016, Bernardet faced a challenge that many can relate to: student loan debt. After graduating, she found herself with a heavy financial burden of $72,000. Like many young professionals, she turned to the internet for answers. But the advice she found didn’t resonate with her. 

Most of the financial content she came across was either too generic, too strict, or simply didn’t account for her lifestyle and background. Instead of passively consuming advice, she decided to take action. Within less than a year, she managed to pay off her entire debt. 

But that was just the beginning. 

As she started sharing her debt-free journey on Instagram—with sticky notes on her refrigerator showing her progress—friends, colleagues, and even high-earning professionals like doctors and lawyers began asking how she did it. Clearly, she had tapped into a real need. 

Turning a Personal Journey Into a Mission 

By 2018, Bernardet launched a podcast to document and share her insights. At first, it was only supposed to be one season—a way to avoid countless coffee chats where people asked her the same questions. But the podcast sparked more opportunities: speaking engagements, live coaching, and eventually, her brand Crush Your Money Goals in 2020. 

Unlike many creators who start with free content and later monetize, Bernardet flipped the script. She launched courses and coaching programs first and only later doubled down on YouTube. This reversal gave her a business foundation before she worried about subscribers and views. 

Today, her business includes: 

• Online courses 

• One-on-one and group coaching 

• Speaking engagements 

• Book sales (her book Crush Your Money Goals has sold over 5,000 copies) 

And she’s done all this with a modest audience size. 

The Power of Small Audiences 

One of the most striking aspects of Bernardet’s story is that her YouTube channel has fewer subscribers than many creators who struggle to make even $1,000 a month. So how is she pulling in mid-six figures? 

The answer lies in her business model and audience focus. 

She doesn’t rely on YouTube ads or sponsors for income. Instead, she treats YouTube as a trust-building platform—a place where her ideal clients can see her expertise, personality, and values. From there, she funnels them into email lists, books, coaching, or courses. 

Here’s a quick breakdown: 

Element	Bernardet’s Approach	Why It Works
Audience Size	6,000 YouTube subscribers, ~6,000 newsletter readers	Small but highly engaged
Client Base	~50 paying clients at any time	High-ticket offers ($50–$2,500/month)
Revenue Streams	Courses, coaching, speaking, book sales	Diversified income
Content Strategy	Repurposed speeches, contrarian takes, commentary on finance experts	Relatable and unique
Annual Revenue	$365,000+ in the latest year	Proof that focus beats volume

Her success highlights an important truth: It’s not about how many followers you have, but how well you serve them. 

Repurposing Content Instead of Burning Out 

One major challenge many creators face is the pressure to constantly produce new content. Bernardet solved this by repurposing material she already had. 

She had recordings from speaking events, television appearances, and live sessions. Instead of letting them gather dust, she edited them into YouTube-friendly videos. Within 18 months, this strategy gave her over 100 videos without the stress of creating from scratch. 

For those just starting, this is a game-changing lesson: 

Content Repurposing Ideas: 

• Cut highlights from webinars into short YouTube clips. 

• Turn podcasts into blog posts. 

• Share Instagram stories as reels or YouTube Shorts. 

• Convert coaching sessions (with permission) into case study content. 

This approach ensures you’re not stuck on the content treadmill. 

Contrarian Takes and Smart Positioning 

One of Bernardet’s breakthroughs came when she realized that contrarian content often performed better than generic advice. 

For example, while many financial creators talk about buying homes, she created a video titled “Why I Rent Even Though I’m a Millionaire.” That video attracted far more attention than standard finance topics because it challenged expectations. 

Similarly, she created content around well-known figures like Oprah, Dave Ramsey, and Suze Orman—not to attack them, but to add context, nuance, and critique. By piggybacking on popular names, she drew in viewers searching for those figures and offered her unique perspective. 

This approach positioned her not just as another finance coach, but as a thoughtful voice willing to question conventional wisdom. 

Building a Business Model Around Trust 

Here’s the most important lesson Bernardet’s story teaches: You don’t need thousands of clients. You just need the right ones. 

At any given time, she works with about 50 paying clients. Some pay as little as $50 per month, while others invest up to $2,500. This small but steady client base, combined with course sales and book revenue, fuels her six-figure business. 

She also uses her newsletter as a trust-building tool. With about 6,000 subscribers, she doesn’t chase vanity metrics. Instead, she nurtures genuine relationships. She even keeps a “brag box” in her inbox—a folder of positive feedback and success stories from clients—to remind herself of the real impact she’s making. 

Lessons From Negative Comments 

Like many creators, Bernardet has faced criticism and negative comments. At one point, she considered leaving social media entirely. But she reframed negativity as a signal of reach: if you’re getting criticized, it often means your content is expanding into new audiences. 

She also learned to distinguish between critics who were never her target audience and constructive feedback from potential clients. The key insight: repelling the wrong audience is just as important as attracting the right one. 

Key Takeaways  

Bernardet’s journey offers timeless lessons for anyone looking to build an online business: 

Start With a Real Problem 

Her business was born from solving her own $72,000 debt problem—and sharing the process authentically. 

You Don’t Need a Huge Audience 

6,000 subscribers, 6,000 newsletter readers, and 50 clients built her six-figure business. 

Repurpose What You Already Have 

Old talks, podcasts, or even casual conversations can become valuable content. 

Use Contrarian Content 

Challenging mainstream ideas (respectfully) sets you apart and attracts curiosity. 

Focus on the Funnel 

Don’t just chase views—guide people toward books, courses, or coaching that deepen the relationship. 

Embrace the Long Game 

Her first year barely earned $10,000. But consistent effort doubled revenue year after year. 

Why Small Markets Work 

It might seem counterintuitive, but small markets often outperform big ones. Here’s why: 

• Less Competition: Few people serve a narrow niche well. 

• Deeper Relationships: Small audiences allow for personal connection. 

• High Conversion Rates: A smaller group of motivated clients can generate more income than a massive group of casual followers. 

• Sustainable Growth: You’re not dependent on going viral to survive. 

Think of it this way: would you rather have 1,000 random fans who never buy or 50 loyal clients who invest thousands? Bernardet chose the latter. 

The Human Side of Success 

While numbers and strategies are important, Bernardet’s story also has a human side. She openly shares personal struggles—like losing her hair at 40 or managing the pressures of entrepreneurship. Instead of pretending to be flawless, she shows vulnerability, which strengthens trust with her audience. 

When readers respond to her newsletters with stories of paying off cars or reducing financial stress thanks to her advice, it confirms that impact matters more than metrics. 

Final Thoughts 

Bernardet Joy’s journey proves that big results don’t require big audiences. By starting with her own debt story, repurposing existing content, and building trust with a small but committed community, she created a thriving business that not only changed her life but also the lives of her clients. 

If there’s one message her story leaves behind, it’s this:
You don’t need millions of followers to succeed—you just need the right focus, the right people, and the persistence to keep going. 

 

These AI Prompt Cards Will Change the Way You Make Money Online

If you’ve ever searched online for “AI prompts to make money,” you’ll know the internet is flooded with results — millions, in fact. But here’s the truth: while everyone wants to leverage AI, very few people know how to create prompts that actually work in business.

“Computers are still computers even if they have AI. They understand structured instructions better.”

That means if you’re still using run-of-the-mill prompts like “List 25 travel deals”, you’re leaving money and consistency on the table. The real magic lies in structured prompts — written in programming-like formats such as JSON and POML (Prompt Orchestration Markup Language).

Let’s break down how these “prompt cards” work, why they can transform your business output, and how you can start using them today to scale content creation, ads, videos, and more.

The Problem With Standard AI Prompts

Most of us start with free-form prompts:

• “Write me a sales letter about a non-stick pan.”
• “Make a Facebook post about healthy eating.”

Sometimes they work, but often they don’t. The AI’s responses are inconsistent — the tone changes, details shift, and you end up spending more time fixing than creating.

“Free text prompts are prone to errors, misinterpretation, or inconsistencies.”

The issue boils down to lack of structure. When AI doesn’t have clear rules, you’ll get results that look different every time. And if you’re building a business, consistency is key.

Enter Prompt Cards: The Game-Changer

Prompt cards are structured prompts written in a coding-like format. Instead of loosely telling AI what you want, you break it down into rules, roles, and tasks.

The two most powerful formats are:

1. POML (Prompt Orchestration Markup Language)
   • Works like HTML for prompts.
   • Easy to read and understand.
   • Great for templates and reusable content.
2. JSON (JavaScript Object Notation)
   • A data format computers love.
   • Perfect for complex rules, lists, or detailed conditions.
   • Best when you need very precise output.

“Use POML if you want something simple and human-readable. Use JSON if you want the computer to follow very specific, detailed rules.”

Why Structured Prompts Work Better

Think of AI as a new employee. If you give vague instructions, the results vary. If you hand them a checklist with clear steps, you’ll always get the right outcome.

Structured prompts help in several ways:

• Consistency: Every blog, video, or ad looks and feels the same.
• Reusability: Build once, use forever. Just change the variables (like product name).
• Scalability: Generate 50 posts, 10 ads, or 6 videos — all with the same style.
• Efficiency: No more editing line by line. AI “knows the rules” from the start.

The speaker demonstrated this with non-stick pan ads. Normally, AI would generate random pan images — different shapes, colors, and looks. But with prompt cards, every image had the same pan, background, and branding. That’s what makes it usable for real marketing.

Breaking Down a POML Prompt

Here’s what a basic POML card might look like (simplified from the training):

<role> Direct Response Copywriter </role>

<task> Write a long-form sales letter for a non-stick pan </task>

<context> Make it engaging, funny, and benefit-driven </context>

<output> 1000 words, short paragraphs, clear call-to-action </output>

Instead of cramming everything into one messy sentence, you’re telling AI exactly:

• Who it should be (role).
• What to do (task).
• How to say it (context).
• What the final product should look like (output).

“It’s pretty much like fill in the blanks. Build once, tweak variables, and grow as you go.”

Breaking Down a JSON Prompt

Now let’s look at JSON, which is more technical but very powerful.

{

“role”: “Content Creator”,

“task”: “Generate 5 short social media posts”,

“audience”: “Entrepreneurs”,

“tone”: “Bold, punchy, and easy to digest”,

“format”: {

“length”: “2 sentences”,

“cta”: “Save this post for later”

}

}

With JSON, you can include detailed rules like:

• Audience (entrepreneurs, students, fitness lovers).
• Tone & Style (bold, funny, formal, emotional).
• Format specifics (word count, structure, CTA).

This ensures every post comes out in the same style — without you rewriting the instructions.

The Building Blocks of Great Prompt Cards

From the training, here are the essential elements every prompt card should include:

Element	Purpose	Example
Role	Who AI should act as	Direct response copywriter
Task	What AI should do	Write a sales letter
Context	Style, background, or theme	Fun, engaging, story-driven
Audience	Who it’s for	Beginners, entrepreneurs
Tone/Voice	How it should sound	Empathetic, bold, confident
Output Format	End result details	1000 words, bullet points
Constraints	What to avoid or limit	No keyword stuffing, no jargon
Examples	Samples to mimic	Famous ad copy, top blog posts

This is why the speaker called prompt cards “boring but powerful.” They may not look exciting, but they build the foundation for consistent content that scales.

Real-World Use Cases for Prompt Cards

Here’s how businesses can apply these prompt structures:

• Social Media Posts
  • Create a JSON card for 30 Facebook captions.
  • Each one will follow the same voice, call-to-action, and structure.
• Sales Letters & Ads
  • Build a POML card once with the formula (headline, benefits, proof, CTA).
  • Reuse for any product by changing the product name.
• Email Marketing
  • Ensure every email matches your brand tone.
  • Add rules like: “short subject lines, curiosity-driven, under 50 characters.”
• YouTube Scripts or Video Carousels
  • Consistent characters, story flow, and style across multiple videos.
• Tools & Plugins
  • The speaker even built a plugin using prompt cards. Because all tools shared the same formatting, it took weeks instead of months.

Step-by-Step: How to Create Your Own Prompt Cards

Here’s a simple roadmap to start:

Step 1: Train the AI with a Normal Prompt

Example: “Tell me about the best sales letters of all time and who wrote them.”
This gathers the raw data.

Step 2: Extract the Structure

Look at what AI gave you and break it into building blocks: headline, story, benefits, proof, CTA.

Step 3: Turn It into a Prompt Card

Convert that into POML or JSON format with roles, tasks, and context.

Step 4: Test and Refine

Run the prompt. See if it gives you consistent output. If not, adjust rules.

Step 5: Reuse and Scale

Save it as a “card.” Now you can apply it to:

• New products.
• Different audiences.
• Multiple content formats.

Pro Tips from Marcus

Throughout the training, some standout tips were:

• “When something works, keep doing it until it stops working.”
• “Consistency is key. Don’t make one page of your website look completely different from another.”
• “Add rules like ‘never do this.’ That keeps output clean across projects.”
• “Most AI tools you pay for are just glorified coded prompts. You can make your own.”

The Bigger Picture: Why This Matters for Business

AI isn’t just about speed; it’s about building a repeatable system. By turning messy instructions into structured prompt cards, you’re essentially:

• Building templates for growth.
• Training AI once and reusing it forever.
• Making your brand voice consistent across every platform.

“Making money with AI is a business. Most people trying to make money make nothing. But if you understand prompts, you can build something consistent, scalable, and valuable.”

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JSON Prompts Are the Future of Making Money With AI 

If you’ve used AI tools like ChatGPT, you know the drill: type in a prompt like “Write me an article about plants” and get a decent but generic output. The problem? Everyone else is doing the same thing. 

The result is AI junk content saturation — your feeds are filled with repetitive, low-quality posts no one engages with. 

“We have reached AI junk content saturation… unless you’re using JSON prompting.” 

What Makes JSON Prompts Different 

So, what exactly is JSON prompting? JSON stands for JavaScript Object Notation, a structured way of organizing data. Instead of feeding the AI vague prompts, you give it data-rich instructions that tell it exactly how to respond. 

Think of it this way: 

• Regular prompts are like asking, “Cook me dinner.” You don’t know what you’ll get. 

• JSON prompts are like giving a recipe: ingredients, steps, portions, and timing. 

The result? Consistent, reliable, and usable output that you can scale into a business. 

JSON Prompting vs. Regular Prompting 

Feature	Regular Prompting	JSON Prompting
Output Quality	Generic, inconsistent	Structured, predictable, consistent
Ease of Use	Simple but vague	Slightly technical but precise
Scalability	Hard to replicate results	Easy to reuse and tweak with variables
Business Application	Limited (content often needs heavy editing)	High (can be turned into tools, APIs, workflows)
Cost Efficiency	Expensive long prompts over time	Compact data = lower costs long-term

The key benefit is control. Instead of AI guessing what you mean, you train it to think like a computer and follow your rules. 

Why JSON Matters in Business 

Everything is data. DNA, maps, even the internet itself are forms of data. Companies like Google and Microsoft spend billions on data centers because data is money when used correctly. 

By learning JSON prompting, you tap into this principle. You’re no longer just generating content—you’re systematizing processes, which is the foundation of real online businesses. 

“If I ever used AI to get a really good result, I would take that result and turn it into a JSON prompt so I can get that again.” 

Real-World Applications of JSON Prompts 

Here are just some ways you can use JSON prompts to grow or even start a business: 

• Content Creation – Consistent blog posts, social media carousels, and email marketing campaigns. 

• Webinars & Scripts – Break down successful webinar structures into reusable templates. 

• API Tools – Build tools like logo generators, article writers, or ad copy creators. 

• Automation – Customer service chatbots, influencer outreach scripts, or market research workflows. 

• Niche Services – Sell ready-made JSON prompts to businesses as shortcuts. 

For example is how to turn a webinar that made $14,000 into a JSON structure. With just a few tweaks (product name, price, niche), he could recreate winning webinars on demand. 

The Bigger Picture: Thinking Like AI 

The most important shift isn’t just technical—it’s mental. JSON prompts force you to think the way AI thinks: in data, rules, and systems. 

That shift lets you: 

• Save time and costs on AI usage. 

• Build repeatable workflows. 

• Create real business tools instead of throwaway content. 

• Stay competitive in the AI-driven economy. 

“In the age of AI, you got to understand this because that’s going to give you the leg up.” 

Step-by-Step Guide: How to Create and Use JSON Prompts 

If you’re new to JSON, it can look a little intimidating. But once you break it down, it’s just about organizing your instructions into a clear structure the AI can follow. Here’s how you can get started: 

1. Define Your Goal

Decide what you want the AI to do. For example: “Write a product description for an online store.” 

2. Break It Into Sections

Think like a computer. Split your request into specific parts such as: 

• Title 

• Features 

• Benefits 

• Call to Action 

3. Write Your JSON Structure

Format your instructions like this: 

 

4. Tell AI to Output in JSON

Always instruct the AI to return valid JSON only. Example: 

“Output a JSON object with the following keys: title, features, benefits, and call to action.” 

5. Reuse and Repurpose

Once you’ve created a working JSON prompt: 

• Swap out variables (e.g., product name, features, benefits). 

• Apply it across different niches. 

• Build a library of reusable prompts. 

6. Turn It Into a Business Asset

Use your JSON prompts to: 

• Generate consistent blog posts. 

• Build email campaign templates. 

• Automate webinar scripts. 

• Sell JSON prompt packs as shortcuts for other businesses. 

“If I ever used AI to get a really good result, I would take that result and turn it into a JSON prompt so I can get that again.” 

Tips From Marcus 

Here are some powerful takeaways you can apply right away: 

• Think in structure, not sentences 

“A computer doesn’t think, ‘write me an article about elephants.’ It breaks it down into rules.”
Break your tasks into parts (intro, body, CTA) so AI follows clear steps. 

• Save winning results as templates 

“If I ever used AI to get a really good result, I would take that result and turn it into a JSON prompt so I can get that again.”
Don’t let a good output be a one-time thing. Capture it in JSON and reuse it. 

• Enforce clean outputs 

“Output valid JSON only. Provide a schema.”
Always tell AI to give results in proper JSON format to avoid messy, inconsistent text. 

• Use arrays for multiple values
  Arrays let you handle lists like features, benefits, or steps in a clean way. This keeps your outputs organized. 

• Monetize your shortcuts 

“Now I can sell them as shortcuts… me giving you my shortcut to getting this stuff with AI.”
Every working JSON prompt is an asset — reuse it, package it, or sell it. 

Conclusion: Why JSON Prompts Are the Future 

The age of typing random prompts and hoping for the best is over. AI is moving fast, and those who treat it like a toy will get left behind. 

JSON prompting isn’t just a “hack” — it’s a shift in thinking. It forces you to move from messy, one-off outputs to structured, repeatable systems that can actually be turned into business models. 

When you learn to think like a computer, you stop wasting time on inconsistent results and start creating: 

• Repeatable workflows 

• Reliable content pipelines 

• Monetizable tools and services 

And the best part? Once you build a strong JSON template, it works for you again and again — saving time, money, and giving you an edge over the thousands still stuck in “junk content land.” 

“In the age of AI, you got to understand this because that’s going to give you the leg up.” 

So if you’re serious about making money with AI, it’s time to stop playing with random prompts and start building structured systems with JSON. That’s where the future is. 

Copy My One Product – CPA Affiliate Marketing Strategy 

If you’ve ever felt stuck in affiliate marketing, you’ve probably tried juggling multiple offers at once. Maybe you thought, “The more products I promote, the higher my chances of making money.” But that usually backfires. Instead of earning more, you spread yourself too thin, waste energy, and eventually give up. 

“Becoming a jack of all trades is not going to make you a master of anything.” 

Even Amazon — the largest online retailer today — didn’t start with “everything.” They started with one thing: books. Once that worked, they scaled into new categories. 

And that’s exactly what this strategy is about. By creating a one product blog, you cut out the noise, simplify your work, and increase your odds of actually seeing results. 

The Core Idea: What Is a One Product Blog? 

A one product blog is a focused website built around a single product or a tight product category. Instead of trying to be the “Amazon of affiliate sites,” you double down on one offer and become the go-to source for it. 

Every article, video, or piece of content supports the same product, making your message clear and consistent. 

The speaker sums it up: 

“One product, one focus, one consistent conversion path. That’s how these scale.” 

One Product vs. Multi-Product Approach 

Here’s a quick comparison to see why less is more in this case: 

Aspect	One Product Blog	Multi-Product Blog
Focus	Laser-focused on one product or category	Scattered across many unrelated products
Conversion Rate	High – every page pushes the same offer	Low – visitors get distracted by too many choices
SEO Strategy	Simple – all content builds topical authority	Difficult – content spread thin across niches
Traffic Retargeting	Efficient – all visitors interested in same solution	Wasteful – audience interests vary too much
Ease of Scaling	Easy – replicate model for new products	Hard – requires complex management
Beginner-Friendly	Yes – fewer moving parts	No – leads to overwhelm and confusion

Takeaway: One product blogs remove distractions and build authority faster. 

How to Choose the Right Product 

Not every offer is worth building a blog around. Selling $9 trinkets on Amazon won’t pay the bills. Instead, you want products with high commissions, mass appeal, and problem-solving potential. 

Criteria for Picking a Winning Product 

• High Payouts: Aim for $40–$150 per sale/lead. 

• Mass Appeal: Think safety products, gadgets, fitness tools, or services. 

• Problem-Solving Nature: Urgent or widely relatable problems = higher conversions. 

• Low Refund Risk: CPA offers are great since they’re pay-per-lead. 

Real Examples From the Transcript 

• Fire blankets → $54 commission 

• Couples therapy leads → $150 per lead 

• DoorDash driver signups → $56 per lead 

• Fitness planner app → $40 per sale 

• Financial advisor leads → $82 per lead 

“Anytime that I can get paid more than the consumer pays, that’s a win.” 

Building Your One Product Blog 

This is where things get fun — and surprisingly simple. 

1. Homepage Essentials

Your homepage is your digital storefront. Keep it clean and focused: 

• Benefit-driven headline (What problem does it solve?) 

• Short product introduction (Clear and direct) 

• Demo, video, or product images 

• Strong call to action (Tell them exactly what to do) 

The formula is simple: 

“Here’s what I got. Here’s what it’s going to do for you. Here’s where to get it.” 

2. Supporting Pages

Add credibility and help answer questions: 

• How it works 

• Comparison vs alternatives 

• FAQs 

• Testimonials or case studies 

• Usage guides or safety tips 

3. Blog Content Strategy

This is where you win traffic and authority. Create posts around different use cases, problems, and benefits of your product. 

Example: 

• For a reusable paper towel product → write about painting hacks, eco-friendly cleaning tips, restaurant cost savings. 

• For a fitness app → write about HIIT workouts, home workouts, habit-tracking tips. 

Each post should naturally lead readers back to the main product. 

Driving Traffic to Your One Product Blog 

Your site only works if people see it. Luckily, with a focused blog, traffic generation becomes easier. 

Best Traffic Channels: 

• SEO (Search Engine Optimization): Rank for buyer-intent keywords like “best fire blanket” or “HIIT workout planner.” 

• YouTube/TikTok: Create short product demos, how-tos, or reviews. 

• Pinterest: Great for lifestyle and home products. 

• Facebook Ads: Excellent for retargeting people who visited your blog. 

“You will get more action with a face video or audio video because you can tap into monetization.” 

But faceless videos, infographics, or AI-generated slideshows can still work. 

Scaling the One Product Model 

Once you’ve nailed one blog, repeat the process. Build a portfolio of one-product sites that link together. 

Scaling Steps: 

• Perfect your first one product blog. 

• Create a second blog around a related product. 

• Connect them with an email list (cross-promote). 

• Keep repeating until you have multiple income streams. 

Example: 

• Blog 1 → Reusable paper towels 

• Blog 2 → Eco-friendly cleaning sprays 

• Blog 3 → Air purifiers 

Together, they form a mini eco-cleaning product empire. 

Step-by-Step Implementation Checklist 

Here’s a simple path you can follow: 

• Pick your product – Look for high payout, problem-solving, mass appeal. 

• Set up your blog – Use WordPress or any easy CMS. 

• Build the homepage – Benefit headline + intro + demo + CTA. 

• Add supporting pages – FAQs, comparisons, how-tos. 

• Create blog content – Articles around problems your product solves. 

• Drive traffic – SEO, YouTube/TikTok, Pinterest, retargeting ads. 

• Collect emails – Build a list for long-term sales. 

• Scale – Once it works, repeat with another product. 

Tips From Marcus 

Here are some of the most practical tips shared throughout the session: 

• Focus on one thing: 

“Every entrepreneur I’ve seen that has made a lot of money has the crazy ability to focus on one thing.” 

• Pick offers that actually pay: 

“Anytime that I can get paid more than the consumer pays, that’s a win.” 

• Keep your site simple: 

“Here’s what I got. Here’s what it’s going to do for you. Here’s where to get it.” 

• Don’t overcomplicate the process: 

“You don’t need 500 products to make serious money online. One product, one focus, one consistent conversion path.” 

• Treat it like a business: 

“The average person trying to make money online makes nothing. This is a business. We have to focus.” 

Final Thoughts: Keep It Simple and Treat It Like a Business 

It’s tempting to chase shiny objects and juggle dozens of offers. But the truth is, focus beats complexity every time. 

“The average person trying to make money online makes nothing. This is a business. We have to focus.” 

So instead of drowning in “info overload,” pick one product, build your blog, and stay consistent. Once it clicks, you’ll see how powerful — and simple — this strategy really is. 

Offer Description (Brand Name Removed)	CPA Payout	Estimated Consumer Cost (USD)
Driver acquisition (Delivery service)	$56.25	N/A
Couples therapy online	$150.00	N/A
Find financial advisor	$82.50	N/A
Drone (general consumer product)	$80.00	N/A
High-resolution aerial camera	$60.00	N/A
NO2 supplement (health & wellness)	$60.00	N/A
Phone plans (consumer cellular)	$60.00	N/A
Credit builder (repair)	$52.50	N/A
Home workout planner (Android, health/fitness)	$40.00	Monthly: $14.99 / Weekly: $9.99 / Quarterly: $29.99 / Annual: $39.99 / Lifetime: $39.99 Apple+15Dogster+15Amazon+15TrustpilotReddit+6Walmart.com+6Google Play+6pixoneye.com+6HouseFresh+6Walmart.com+6pixoneye.com+15Tom’s Guide+15The Verge+15Verv+1Simplehuman+1The Home Depot+1verv.tenereteam.com+1
Portable cooling device	$52.00	~$35/month (includes electricity over 3 years) Coolzy
Portable heater (home improvement)	$52.00	N/A
Doorbell camera (consumer product)	$48.00	Doorbell cameras range from ~$99.99 to $500+ SafeHome.org
Quick home offers (real estate)	$48.75	N/A
Timeshare cancellation service	$50.00	N/A
Air purifier (consumer product)	$45.00	~$159 for PuroAir HEPA model PuroAirAmazon
Bathroom renovation quote (home services)	$30.00	N/A
Smartphone sanitizer (worldwide)	$40.00	PhoneSoap 3: ~$67.95 (20% off from $84.95) PhoneSoap
Marketing & advertising services	$37.50	N/A
Logo design services	$37.50	N/A
Wearable stress reducer (consumer product)	$37.50	N/A
Sleep products (e.g., grounding)	$33.75	N/A
Freelance contract service	$32.00	N/A
Snore reduction device (worldwide)	$32.00	N/A
Lamp therapy device (US/CA)	$26.00	N/A
AI job search service	$30.00	N/A
Blue light glasses (consumer product)	$30.00	N/A
AI video editor (worldwide)	$26.25	N/A
Chef knife (consumer product, worldwide)	$27.00	N/A
Vehicle history lookup (automotive quotes)	$28.00	N/A
Free gadget trial (subscriptions)	$25.00	N/A
Dashcam trial (subscription, US)	$25.00	N/A
Bug repellent (US/CA)	$25.00	N/A
Dog bark device (worldwide)	$24.00	~$39 based on one product listing pixoneye.com

ChatGPT 5 Visual Tools = $$$ – This Is Crazy – Real Use Cases!

At first glance, ChatGPT-5 might look like just another upgrade. But when you dive deeper, it becomes clear that this version introduces something game-changing: the ability to create visual, interactive tools directly inside AI—tools you can actually put on your website, monetize, and scale.

“The visuals on ChatGPT-5 are insane. This is something we have not seen in a smart AI tool.”

This isn’t just about coding or generating text anymore. It’s about producing experiences that people want to interact with—and that interaction can turn into revenue.

Why ChatGPT-5’s Visual Skills Matter for Business

In the past, AI was great for writing blog posts, answering questions, or spitting out lines of code. But it struggled to give you something you could use immediately as a ready-to-deploy, visually engaging element on your website.

ChatGPT-5 changes the game with the ability to:

• Create 3D interactive experiences like walkthroughs or product demos.
• Build custom calculators for things like retirement planning, water intake tracking, or mortgage comparisons.
• Generate games, quizzes, and visual planners that keep people coming back.

And this isn’t just about novelty. There’s a business principle behind it:

“The longer people stay, the more apt they are to buy things… keeping people on your content longer is key.”

When visitors engage with a tool, they stick around. That extra time builds trust, improves SEO rankings, and gives you more opportunities to convert them into paying customers or leads.

Practical Use Cases You Can Build Right Now

Visual tools aren’t just “cool gadgets.” They can serve specific audiences, solve problems, and open monetization doors.

Here are some examples pulled directly from real working projects:

Tool Idea	How It Works	Possible Monetization
Budget Planner	Users enter income and expenses, then see a color-coded pie chart of their spending.	Financial coaching services, affiliate banking offers.
Language Flashcards	Interactive flashcards with audio and images to help learn vocabulary.	Language learning course or app affiliate programs.
Garden Planner	Lets users design a virtual garden, showing optimal plant placement based on sunlight and spacing.	Gardening tools and seeds via affiliate links.
Water Intake Tracker	Tracks daily water consumption visually, with progress bars and goals.	Health product links, nutrition coaching.
Gift Finder	Suggests gift ideas based on event type, age, and preferences.	Amazon or Etsy affiliate links.

These are all small enough to build quickly but powerful enough to attract a dedicated audience.

The Power of “Built-In Promotion”

One of the smartest strategies here is creating tools that market themselves through the very content they generate.

For example, an affirmation memory game could post snippets of its own affirmations to social media. The posts themselves would encourage people to come play the game, and the game could then upsell them into a book, course, or app.

“If I make an affirmation tool, the way to promote it would be the affirmations I’m using to build it… the promotion method should be seamless from the product itself.”

This self-contained loop works because:

• You don’t have to create separate marketing content—the product already generates it.
• The marketing is relevant and instantly useful to the audience.
• Every share of the product’s content is a direct invitation to try the product itself.

Step-by-Step: Build & Ship a Visual Tool in One Day

• Pick a tiny, useful niche: Choose one concrete problem (budget planning, water intake, gift ideas, simple retirement math, vocabulary drills). Smaller is faster.
• Validate interest fast (15–20 minutes)
  • Search the exact problem and note autocomplete phrases.
  • Check a keyword tool for rough volume.
  • Peek at competing pages—are they static articles? Great, an interactive tool can win.
• Define the single outcome: Finish this sentence: “In under 60 seconds, the user should be able to ______.” That blank becomes your North Star.
• Choose the format that forces interaction
  • Calculator with sliders
  • Visual planner or drag-and-drop grid
  • Quiz/flashcards or memory game
  • Progress bars, charts, or before/after visuals
• Decide your stack and hosting
  • Need zero setup? Plain HTML/CSS/JS.
  • Comfortable with components? React.
  • On shared hosting/cPanel? Prefer single HTML file.
• Give a tight build prompt (copy, tweak, paste)
  • “Create a single-file HTML tool called ‘Budget Snapshot.’ Inputs: income, rent, utilities, food, transport, debt, other. Outputs: pie chart + ‘% saved’ bar. Include local save + reset buttons.”
  • “Build a retirement visualizer: sliders for age, contribution, expected return, and inflation. Show future value and purchasing-power bars side-by-side.”
  • “Make a 12-card affirmation memory game: flip cards, track attempts, let users add new affirmations, and export a shareable image of a favorite card.”
• Generate, run, and tighten
  • Open the output in a browser.
  • Fix copy, labels, and defaults.
  • Ask for separated CSS/JS if the file is huge.
  • Request minified assets once stable.
• Add built-in value (micro-features that ‘wow’)
  • One-click ‘Copy result’
  • ‘Download as image/pdf’ of the chart or score
  • ‘Share to…’ buttons that include an auto-generated caption
• Monetize by context, not pop-ups
  • Finance tools → course/consult button under the result
  • Gift finder → affiliate links beside each suggestion
  • Health tracker → curated products below the progress bar
• Capture leads at the moment of insight
• Inline email box: “Send this plan to my inbox.”
• Segment by result (e.g., heavy-debt users get a different sequence than high-savers).
• Publish and make a promo loop
• Host on your domain (or a WordPress page).
• Turn tool outputs into posts: a chart, a tip, a surprising stat, a Q&A snippet.
• Each post links back to the live tool.
• Measure and iterate (same day if possible)
• Track time on page and completion rate.
• Reduce fields, clarify labels, brighten buttons.
• Ship a v1.1 within hours, not weeks.

Engagement Is the Real Currency

These tools work not just because they look good, but because they make people interact. And interaction is one of the most valuable currencies online.

When a visitor drags an item, clicks through steps, or inputs personal details into a calculator, they’re becoming invested in the process. This leads to:

• Longer time on page, which boosts your SEO.
• Higher opt-in and purchase rates, since people are more likely to buy after engaging.
• Better social sharing, because interactive tools are more “share-worthy” than static articles.

The real opportunity is to create tools that make visitors feel like they’re part of something—something that reacts to them.

Tips & Key Takeaways From Marcus

• Lead with visuals: The visual capabilities in ChatGPT-5 are on another level. Lean into formats that make people click, drag, and explore instead of just reading.
• Ship fast—speed is an edge: You can put a working tool on your site the same day you build it. Small, shippable tools often outperform big ideas that never get finished.
• Own the audience, not just a post: If you can capture and hold an audience in a niche, you’ve built something valuable. Tools are far more effective for this than static articles.
• Make promotion come from the product: Create tools whose outputs naturally double as shareable content. That way, every use generates its own marketing material.
• Target under-served micro-niches: Start in spaces where demand is high but competition is thin. These are often overlooked but can be surprisingly profitable.
• Be specific when building in Canvas: Tell ChatGPT exactly which tech stack to use (HTML, React, etc.) and your hosting constraints for cleaner, ready-to-use code.
• Prioritize interaction over explanation: Transform concepts into things people can manipulate—sliders, drag-and-drop, or fill-in-the-blank tools work far better than walls of text.
• Monetize by context: Match what the tool shows to relevant offers—finance scores to finance courses, gift picks to online stores, health trackers to wellness products.
• Go where the audience already is: Build around topics that have strong search demand so you’re not starting from scratch when it comes to traffic.
• Remember why visuals convert: Visualized data keeps people on your site longer, which is exactly what you need for both better SEO and more sales.

Conclusion

Right now, very few people are making niche-specific interactive tools at scale. That means there’s a rare opening to build an audience and establish authority before the market becomes crowded.

“These little niches are wide open for this type of stuff.”

This is a moment to think small but valuable. You don’t need to launch a massive, venture-funded app. Start with a single, targeted tool in a profitable niche, get it in front of people, and watch how they interact. Then improve, expand, and repeat.

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AI Research Playbook — Full Notes & Workflow

A consolidated notes page that turns raw exploration into a repeatable, profitable AI research process.

0) Purpose & Outcomes

Goal: Turn AI-powered research into monetizable outputs (content, tools, services, products) while staying accurate and efficient.

Core outcomes you should ship:

• Actionable briefs, outlines, and scripts (YouTube, posts, newsletters)
• Evidence-backed comparison tables (CSV/Sheets) and choosers
• Research-driven lead magnets and mini-products
• Slides, mind maps, and summaries for fast decision-making

1) Principles & Mindset

• Stack, not a single tool. Use best-of-breed tools for different steps; stop asking one model to do everything.
• Specific beats generic. If a one-line prompt can generate it, the output is a commodity. Seek angles and evidence others don’t.
• Categorical reference. Learn by sorting: create “boxes” (categories) first, then place findings inside.
• Spin for your niche. Constantly reframe findings for the audience and monetization path you care about.
• Research → Decisions → Assets. Entrepreneurs get paid to decide and ship—not to read forever.
• Run lean, not cheap. Pay where it compounds into quality or time savings (e.g., multi-agent wide research).

2) The Research Stack (Roles & When to Use)

Conversational / Ideation

• ChatGPT (general) – fast brainstorming, framing, prompt drafting, outline first-pass.

Web-validated research

• Gemini Deep Research – systematic crawl on a focused question; transparent sources.
• Perplexity / Web Q&A – quick source-backed answers and passages.

Agentic, multi-branch exploration

• Manus AI (“Wide Research”) – multi-agent, multi-path exploration; builds large, source-rich reports/tables; slower, pricier, but high leverage.

Second brain / Synthesis

• NotebookLM – ingest notes, produce study guides, timelines, mind maps, audio dialogs; excellent for learning & content reuse.

Visualization / Packaging

• Spreadsheets/CSV, Notion/Docs, slide generators, prompt-to-slides.

Rule of thumb: Start with ChatGPT to frame the question → run Deep or Wide research where needed → synthesize in NotebookLM → package deliverables.

3) Four-Phase Workflow (Idea → Output)

Phase A — Define & Aim

• Audience & intent: Who is this for? What problem are they trying to solve right now?
• Artifact & monetization: What will you ship? (brief, chooser, guide, tool) How does it make money?
• Success criteria: What decision will this research enable?

Phase B — Discover & Collect

• Use ChatGPT to map the space (terms, players, criteria, unknowns).
• Run Gemini Deep Research for systematic, source-backed evidence.
• Use Manus AI (Wide Research) when you need breadth + depth + structured outputs (e.g., CSV of 25–150 items with attributes, quotes, and sources).
• Save sources, quotes, tables. Tag with intent and monetization relevance.

Phase C — Synthesize & Structure

• Build comparison matrices (columns: entity, method, metrics, obstacles, outcomes, links, quotes).
• Use NotebookLM to generate study guides, timelines, mind maps, and FAQs from your corpus.
• Extract insights (patterns, thresholds, “if X then Y” rules) and angles (hooks, spins, counterintuitive takes).

Phase D — Ship & Monetize

• Turn insights into: scripts, posts, carousels, cheatsheets, calculators, choosers, or sales letters.
• Add CTAs, affiliate links, or service offerings aligned to the research.
• Track results → iterate prompts, criteria, and packaging.

4) Tool Deep Dives (Practical Use)

ChatGPT (Conversational & Framing)

Use for: problem framing, question trees, prompt engineering, outline drafts, transforming notes into copy. Deliverables: briefs, outline v1, prompt libraries, draft scripts, sales letters. Pitfalls: flat/uncited facts, generic takes. Fix with better constraints and follow-up with source-backed tools.

Starter prompts:

Frame a research plan: audience, desired decision, monetization path, and success criteria. Ask me for any missing constraints.

Turn these raw notes into a 500-word executive brief with 5 key findings, 3 risks, and next actions.

Gemini Deep Research (Focused Evidence)

Use for: deep dives on a single question; transparent browsing trail; faster than wide research. Deliverables: curated source set, reasoned summaries, claim verification. Tips: specify evidence requirements; ask for contradictions; require quotes + links.

Starter prompt:

Run deep research on: “Best laptops for students who do light video editing under $900.”
Return a table with model, CPU/GPU, RAM, weight, battery claims, and 3 trusted sources per pick.
Highlight trade-offs and recurring failure points.

Manus AI — “Wide Research” (Multi-Agent)

Use for: broad+deep sweeps that output structured tables, quotes, and linked sources across many entities (25–150+). Deliverables: CSV/Sheets, longform reports, slide decks with citations. Notes: May take longer (minutes → hours). Worth it when you need breadth, structure, and quotable evidence. Good for competitive landscapes, method comparisons, or historical analyses.

Starter prompt:

Use Wide Research to identify 50+ ways marketers lower paid ad costs for podcasts.
For each: tactic, mechanism, example link, expected lift range, constraints, proof sources, and 1-sentence playbook.
Export CSV and a summary slide deck.

NotebookLM (Second Brain)

Use for: ingesting research outputs to generate mind maps, timelines, study guides, audio dialogues, FAQs. Deliverables: “learning pack” for you/team; assets you can repurpose into content. Tips: paste entire reports/CSVs; ask for mind maps by theme; generate a briefing doc before writing.

5) Working Concepts & Heuristics

• Commodity filter: If a first-try prompt yields what everyone else has, keep digging until you have a table, a rule, a framework, or a benchmark others don’t.
• Hook from insight: Lead with patterns, thresholds, and contradictions (e.g., “Among 150 cases, walking ≥1 mile/day appeared in 72% of ≥25 lb losses”).
• Spin for market: Reframe generic findings to your buyer (parents, gym owners, editors, etc.).
• Evidence cadence: claim → source → quote → implication.
• Stop rule: Ship once your matrix stops changing with new sources (diminishing returns).

6) Examples (from the workflow)

A) Celebrity Weight Loss → Pattern Report

• Move from listicles to a matrix: person, timeline, method (diet/exercise), challenges, quotes, sources.
• Derive actionable patterns (e.g., activity minimums, protein targets, adherence tactics).
• Monetize: checklist/guide, mini-course, partner offers (coaching, trackers), content series.

B) Student Laptops for Light Editing → Chooser Tool

• Criteria: price ceiling, CPU/GPU floors, RAM, weight, battery, ports, warranty.
• Build a chooser (inputs → ranked picks) + affiliate links.
• Monetize: evergreen posts, comparison sheets, email capture via buyer’s guide.

C) Philosophers → Modern Angles

• Crossovers: who influenced whom; where ideas clash.
• Apply to AI: Socratic method prompts, logic/rationalism for prompt debugging, “Plato’s Cave vs. the Metaverse.”
• Monetize: thought-leadership content, course, newsletter series.

D) Lowering Ad Costs (Podcast Promo)

• Wide research: 25–50 tactics with constraints, examples, and expected lift.
• Build a playbook + calculator to prioritize by budget and channel.
• Monetize: lead magnet → audit/service; productized consulting.

E) Niche How-To (e.g., Raising Quail)

• Feasibility check: enough sources? If yes, table the setup/care/ROI/law/compliance.
• Package as step-by-step with sourcing and seasonal/locale notes.

7) From Research → Revenue (Packaging Menu)

• Content: briefs, posts, carousels, long videos, shorts.
• Data: CSV databases, choosers, calculators, benchmarks.
• Products: paid guides, courses, templates, swipe files.
• Services: research-as-a-service, audits, strategy sprints, due diligence.
• Funnels: intent-tailored lead magnets → email sequences → offers.

8) Prompt Library (Plug-and-Play)

A. Frame & Scope

Act as a research lead. Define audience, decision to enable, monetization path, and a minimal evidence plan (top sources, data to collect, what *not* to do). Ask 5 scoping questions.

B. Wide Research (Manus AI)

Use Wide Research to produce a 100-row table on <topic>.
Columns: Entity/Method, Mechanism, When it Works, Constraints, Metrics, Example Link, 2–3 Quotable Lines with sources. Export CSV + summary slides.

C. Deep Research (Gemini)

Deep research: “<question>”. Require 6+ diverse high-quality sources.
Return an executive brief + a table with comparable attributes and direct quotes with citations.

D. Synthesis → Insight Matrix

From these notes, extract patterns, thresholds, contradictions, and 5 ‘if/then’ rules. Produce a matrix and 10 hooks for content.

E. Packaging

Turn the insight matrix into: (1) a 7-slide deck, (2) a 400-word newsletter, and (3) a checklist lead magnet with CTA.

F. Sales Letter from Research

Using the pains, constraints, and proof collected, write a direct-response sales letter for <offer>. Include specific problem statements, mechanisms, proof points, FAQs, and a risk-reversal.

G. Socratic Method Prompt

Act as a Socratic coach. Ask me 12 clarifying questions about <goal>. Challenge assumptions, request evidence, and help me derive a testable plan.

9) Templates

Insight Table (CSV):

Item	Category	Method/Mechanism	Inputs	Constraints	Outcomes/Thresholds	Failures	Sources	Quotes

Claim Verification:

1. The claim (1 sentence)
2. Source list (diverse, reputable)
3. Direct quotes (max 25 words each)
4. Counterevidence
5. Verdict (+ caveats)

Deliverable Checklist:

10) Accuracy, Ethics & Pitfalls

Best practices

• Cite and quote. Distinguish fact vs. inference.
• Use multiple tools to triangulate.
• Track dates; watch for stale info.
• Keep raw notes separate from polished outputs.
• Attribute ideas; avoid plagiarism.

Common pitfalls

• Flat, generic outputs; no edge or evidence.
• Overfitting to one tool; skipping verification.
• Blindly trusting numbers or affiliate lists.
• Researching forever without shipping.

11) 7‑Day Research Sprint (example)

Day 1: Define audience, decision, success criteria. Draft question tree.
Day 2: Deep research pass; collect 10–15 top sources.
Day 3: Wide research pass; export CSV.
Day 4: Synthesize into insight matrix and hooks.
Day 5: Package: brief + deck + lead magnet.
Day 6: Publish; email + social + video.
Day 7: Measure; refine prompts/criteria; plan next sprint.

12) Quick Reference

• Use ChatGPT to frame problems and create prompts.
• Use Gemini (Deep) for focused, evidence-backed answers.
• Use Manus (Wide) for structured breadth with sources.
• Use NotebookLM to learn, map, and repurpose.
• Always ship a brief + table + one monetized asset.

Master the stack, respect evidence, and ship assets that make decisions—and money.