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I (re)started UGLY and this is what happened...
I spent months trying to get the perfect pictures, colors, and fonts for my funnel... Days on a single email in a launch campaign... Hours debating a single headline. But 3 weeks ago I made a MAJOR pivot from teaching about family to coaching on implementation. Ai wrote a sales page that I cleaned up and put in a google doc. A GOOGLE DOC y'all! 🤦‍♂️ I sent an email with a link to about ten people. And somebody actually signed up... from an ugly google doc sales page that doesn't even work properly on mobile! I won't go into the offer because that's not the point. It's enough to say he invested $497 for a 4 week plan and within 10 days he went from ZERO prospects to making $6,800. 🔥 $6,800 in 10 days—that's a 13x on his investiment with 20 days to go!! Do you know what would have happened if I waited for everything to look pretty? to be 'good enough'? He'd still be sitting in stress, worried about money, and wondering if he should quit. Who is still suffering because you're determined to get perfect copy, the right shade of blue, or afraid you're going to be rejected? Start (or restart) UGLY. Start so ugly you'll actually laugh out loud when you get your first client from it. Start so ugly people will reject you simply cause they can't stand that shade of blue (ninja secret: they would not be a good client anyway). Start so ugly people start messaging you because of the typos. Start so ugly that the ones who radically align with you are compelled to work with you. Because people need YOU today. And that's beautiful. @Noelle Switalski @Jon Pakula @Bryan Switalski @Rosa Medina
I (re)started UGLY and this is what happened...
1 like • 3d
Hell yeah dude! Don't forget to get a video testimonial out of him and use it as the ad to run youtube traffic to the google doc! Time to compound the hell out of it!
Selling Online Webinar
Signed up for Russells Selling Online! Looking forward to it!
Selling Online Webinar
0 likes • 3d
welcome welcome! it's quite the experience!
Breaking Down Russell’s New Content Machine (Pt. 3)
Looking back at Russell Brunson’s job post, (and my last two posts) there’s a pattern that’s hard to ignore. “Rapidly test ideas. Publish frequently. Scale what works.” “Use AI tools daily to move faster and produce more.” Move faster. Produce more. Use AI daily. In Post 1, I said the bottleneck moved. In Post 2, I showed why more output doesn’t mean more results. (Catch up here: https://www.skool.com/prime-mover/breaking-down-russells-new-content-machine-part-2?p=433a9fa5) Because the underlying AI content arms race happening right now isn’t actually more and faster output. It’s more optimized content. Everyone starts getting better at the same things. - improving their hooks - tightening their edits - refining their scripts - repurposing more efficiently And they’re all doing it with the same tools, because remember, AI allows faster iteration. The assumption is: 👉 If I optimize faster than everyone else, I’ll win. But that only works if you’re optimizing in a unique direction. The problem is… most people aren’t. They’re improving the same variables, in the same way, with the same inputs, with the same LLM advice. Everyone is racing to the middle. You get more of the same content—just executed more efficiently, but without the competitive edge that came more naturally when you slogged out your own content. Now, here’s something I noticed that I haven’t seen many people talk about, outside of perhaps art: AI doesn’t create originality, it rehashes what already works. So when you use it to optimize content: - it reinforces existing patterns - it prioritizes familiarity - it reduces variation over time Which means the more you optimize… The more your content starts to look like everything else. 👉 I’m gonna go ahead and flag this as the AI version of the Echo Chamber effect we were seeing in social media 10 years ago. So, returning to this topic of Russell’s (and most brand’s AI Content systems), the focus is still:
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Breaking Down Russell’s New Content Machine (Pt. 3)
Breaking Down Russell’s New Content Machine (Pt. 1)
There’s a job post floating around right now about running Russell’s content machine… I was forwarded the job post from Russell Brunson earlier this week, the “AI-Powered Content Operations Manager.” one. In the next few posts, I will show you how to get hired for that job. Or any other. At first glance, it looks like a content role, with all the usuals: - Post more. - Use AI. - Manage editors. - Ship faster. Pretty standard. But if you read it carefully… it’s not really a content job at all, or at least it wont stay that way for long. The entire role is built around one thing: 👉 Taking ideas and turning them into output, fast. - Use AI to generate hooks, scripts, captions - Launch high volumes of content - Test constantly - Scale what works It’s about going all out on execution. That’s where it gets interesting, because most people still think content is about: - having better ideas - writing better posts - being more creative But this role assumes something completely different… it assumes that the age-old problem is already solved. AI removed the production bottleneck You don’t need to be a great writer anymore, study viral posts, or even hours to script, edit, or repurpose. What used to be: 👉 “What should I say?” Has turned into: 👉 “How fast can we turn ideas into output?” And that’s the question Russel’s job post is asking someone to answer. AI can generate hooks, scripts, captions, variations in minutes, and the cost of producing content is approaching zero. Content production has been democratised and made infinitely accessible, right? No, it hasn’t. It looks like the bottleneck is gone, but it didn’t disappear. It moved. Look at what the job is actually asking for: - manage production - coordinate editors - move ideas into assets - publish at scale This is closer to running an operating system than creating content. The philosophy is clear: - test fast - publish often - scale what works Not: - craft something perfect - polish endlessly - watch the timing for when to post 
Breaking Down Russell’s New Content Machine (Pt. 1)
1 like • 4d
@Jon Pakula there's another FHL?? wasn't last year's the last one?
1 like • 4d
@Jon Pakula oh hell yeah, I might just go. I dont LOVE Vegas, but.... i do love FHL
Breaking Down Russell’s New Content Machine (Part 2)
After reading Russell Brunson’s job post to ‘build and run his content machine’ and writing my last post, someone pointed out something interesting: “Yes, it does feel like everything is moving toward systems.” He’s right, of course, but there’s a piece missing in how most people are interpreting that shift. Missing Part 1? Read it here: https://www.skool.com/prime-mover/breaking-down-russells-new-content-machine-pt-1?p=019a58df Because if the answer was just: 👉 “Build a system” 👉 “Post more content” 👉 “Use AI to scale” …then content should be working better than ever, but it isn’t. Most people are: - posting more - using better tools - producing faster And still not seeing: - better engagement - stronger trust - consistent conversions So something doesn’t add up, but everyone’s so caught up in the rush that they’re asking instead which LLM is better at writing. The problem isn’t that people aren’t producing enough content. It’s that they’re producing more of the same kind of content… just faster. We’ve reached a point where: - content can be generated in minutes - ideas can be expanded instantly - formats can be replicated endlessly But attention is still limited. People can only consume one piece of content at a time, and in fact, it’s doomscrolling is leaving their focus even more fragmented. The cost of producing content has fallen… while the cost of being seen has never been higher So increasing output doesn’t automatically increase results. It just increases competition, and when supply soars, demand crashes, and so does attention span. We are now fighting for the first two seconds of our vids, and cramming multiple hooks into every post just to stay visible. Look back at the job post Russell put out. The focus is: - generate - publish - test - scale That’s an output loop (and still relevant, as I said in my last post).
Breaking Down Russell’s New Content Machine (Part 2)
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Robert Macbeth
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