Everyone says you need to "Start an AI Agency" to make millions in 2026.

And technically, the hype is there ($307 Billion was spent on AI implementations last year).

But if you're reading this, you probably know the uncomfortable truth.

Most of those projects are failing.

The problem isn't the "AI" or the "Client." It's the Learning Gap. Most agencies are selling "tools" (chatbots) when businesses are desperate for "outcomes" (custom automation).

The method that actually saved my business $44,000/year—and is generating up to $10 returns for the top 5% of companies—is simple: The Architect Method.

So today, I'm going to show you how to stop "prompting" and start "architecting." We are going to build a custom, enterprise-grade solution that replaces expensive software... without writing a single line of code yourself.

We analyze the conflicting data between the IDC Spending Report and the MIT Failure Study. We then break down the "Architect" logic that separates the 95% who fail from the 5% who succeed. Finally, we use Claude to run a "Tech Stack Interview" and build a recursive, self-correcting automation system for High Level and Google Workspace.

Anyway, here is how we will use AI to stop guessing and start building:

Step 1: The "$307 Billion Lie." We look at the stats (95% failure rate) and explain why the "Standard Agency Model" is dangerous for beginners. If you are just selling "implementation," you are selling a commodity.

Step 2: The "Learning Gap" (MIT Study). We reveal why AI tools "drift" and fail over time. The secret isn't better prompting—it's building a system that understands your specific Tech Stack context before it writes a single word.

Step 3: The "Architect" Protocol. Most people ask AI to "do the work." I show you how to ask AI to "design the blueprint" first. We use the Recursive Self-Correction technique to have the AI write its own Python scripts and fix its own errors.

Step 4: The "Tech Stack Interview." We watch live as I get the AI to interview me about my specific setup (High Level, Gmail, Custom Database). This ensures the code it writes actually works for my business, eliminating the "Hallucination" problem.

If you want to be part of the 5% making AI work instead of the 95% burning cash, this video shows you the shift you need to make.

👉 Watch Next: Stop Posting Educational Content: https://youtu.be/EgrrgTPf2tI

Timestamps:

0:00 - The $307 Billion Lie (IDC vs. MIT Data)
1:28 - The "Learning Gap" Explained
4:55 - The Top 5% (FullView & IDC ROI Data)
7:25 - Case Study: How I Replaced Freshdesk (Automated Support)
12:04 - Case Study: How I Replaced Hyros (Custom Attribution)
15:39 - The "Architect Method" Defined
17:31 - Step 1: Defining the Outcome (Not the Output)
19:13 - Step 3: The "Tech Stack Interview" Technique
20:35 - Step 5: Recursive Self-Correction (The Secret Sauce)

#AIAutomation #BusinessStrategy #FrankKern #AgencyOwner

Stop trying to "force" the sale with big promises. Here is the 1966 psychological secret called Reactance Theory that sells more by promising less.

Most business owners think "selling" means making the biggest, boldest claim possible ("Best ever," "Guaranteed"). But according to the Psychological Reactance Theory (Jack Brehm, 1966), absolute statements trigger a "Boomerang Effect" in the human brain, causing prospects to push back.

In this video, we analyze the famous "Tomato Ad" control that beat the competition for years by changing just one word. You will learn how to "cushion your claims" to lower skepticism, and I will show you how to use Ojoy.ai to rewrite your aggressive sales copy into high-converting, trust-building assets.

👉 Get the tool I used to rewrite the copy in this video (Free Trial): https://ojoy.ai

🔥 Watch Next: AI Took My Job (Not For Beginners): https://youtu.be/EbS5BWjsrAI

[TIMESTAMPS]
0:00 - Stop Making Big Promises (The "One Word" Secret)
0:30 - The Psychological Reactance Theory (1966)
0:56 - Case Study: The "Tomato Ad" Control
2:23 - Why "Hard Selling" Backfires (The Boomerang Effect)
4:00 - The Art of "Cushioning The Claim"
6:30 - How To "Disqualify" Leads (Advanced Email Strategy)
8:43 - AI Demo: Fixing "Salesy" Copy with Ojoy.ai
13:40 - The "Question Reframe" Technique
15:00 - The Final Result (Before vs. After)

#SalesPsychology #Copywriting #Ojoy

Stop using AI to generate generic sales copy. Here is how to use the "Expectation Violation" framework (the same one that took Avis from $25M to $75M) to boost clicks and engagement by 63%.

Most business owners use AI to write "better" copy, but they end up blending in. In this video, we break down Expectation Violation Theory—a psychological principle that disrupts viewer patterns to force attention. We analyze the historic Avis Rental Car campaign and a 65,000-ad study by Outbrain to prove why "contrarian" creative wins.

You will see a live demo of using Ojoy.ai (Project Papillon) to engineer a "Pattern Interrupt" ad from scratch, combining Human Intelligence with AI speed. This is not about funnel hacking; it's about using behavioral psychology to increase baseline sales (proven by my own 24-73% lift in daily customer data).

👉 Get the tool I used to write the ad in this video (Free Trial): https://ojoy.ai

💥 Watch Next: AI Took My Job https://youtu.be/EbS5BWjsrAI

[TIMESTAMPS]
0:00 - The Missing Ingredient in AI Copy
0:17 - The $50M "Avis" Secret (Expectation Violation)
1:07 - The 65,000 Ad Study (63% More Clicks)
2:00 - My Results: 24-73% Increase in Daily Sales
3:30 - The "Anti-Marketing" Case Study
4:30 - The Ojoy.ai Workflow (Project Papillon Demo)
6:00 - How to Inject "Human Intelligence" into AI
9:30 - Refining the Ad with Project Shepherd
11:05 - Formatting for Social Media (The Final Result)

#Hashtags #Copywriting #AIMarketing #Ojoy