How to get disgustingly rich with AI image ads (full tutorial)
The speaker outlines a step-by-step AI-powered workflow for creating high-performing image ads, distinguishing between direct and indirect ad types. The process involves foundational research documents, a custom Gemini gem for prompt generation, and Higgs Field for image creation. Both swiping existing ads and generating original concepts from scratch are covered.
Summary
The speaker opens by asserting that AI image ads are among the most effective modern advertising tools — fast, cheap, and highly profitable. He categorizes image ads into two types: direct and indirect. Direct ads are bottom-of-funnel, showing the product, price, and a simple call to action. Indirect ads, also called 'native statics,' are top-of-funnel and designed so that viewers don't immediately realize they're being sold to — the image stops the scroll while the copy does the selling. The speaker emphasizes that indirect ads offer greater scale and profitability due to their broader audience reach.
Before using any AI tool, the speaker stresses the importance of foundational documents — research, customer avatar, offer details, and necessary beliefs. He frames this as the core fuel for all creative output, citing that top copywriters universally agree the money is in the research. He offers to send a process guide for this via DM.
The workflow then moves to building a custom Gem in Google Gemini, loaded with the foundational docs and specific instructions. This Gem is used to analyze swiped (existing successful) ads and output detailed prompts by rewriting the copy, branding, and fonts to fit the user's brand. These prompts are then entered into Higgs Field, where the 'Nano Banana Pro' model generates eight ad variations in roughly 30 seconds — described as clean, on-brand, and free of text errors.
For more original ad creation beyond swiping, the speaker recommends using Claude with a separate set of instructions (also included in the 'spoon' document he offers via DM). Claude is used to extract psychological triggers and pain points, then generate completely original static ad concepts. These concepts are fed back into Higgs Field for image generation, creating a theoretically limitless loop of new ad ideas.
Key Insights
- The speaker argues that indirect ads ('native statics') are where the real money and scale are, because viewers don't realize they're being sold to — the image stops the scroll while the copy does the actual selling.
- The speaker claims that foundational research documents — including customer avatar, offer, and necessary beliefs — are the most important input in the entire ad creation process, and should be completed before touching any AI tool.
- The speaker describes a custom Gemini Gem that, when fed a swiped ad, automatically analyzes why it works and rewrites the copy, brand, and font to produce a ready-to-use image generation prompt.
- The speaker states that Higgs Field's 'Nano Banana Pro' model generates eight near-perfect ad variations in about 30 seconds, with clean text, no misspellings, and on-brand visuals.
- The speaker argues that using Claude to extract psychological triggers and hot points allows users to generate completely original static ad concepts — not just swipes — creating what he describes as a limitless loop of new ad ideas.
Topics
Transcript
[0:00] AI image ads are one of the greatest inventions in the history of modern advertising. They're fast to make, they're cheap to run, and some of my most profitable ads I've ever run have been images. But, most people still have no idea how to actually make good ones. So, there's two general types of ads that you can make, direct and indirect. And technically, it exists on a spectrum, but just for simplicity purposes, let's say that's the two types. Direct ads look like this, more bottom of funnel. Typically, you see the product in the image, maybe the price is there, so people are price aware, so [0:30] simple call to action. Basically, just saying, "Here's a…
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