Most founders are still doing this: • Paying hundreds every month for cloud servers • Paying AI companies for every API call • Paying SaaS tools for things they could run themselves Meanwhile… the founders who will dominate the next few years are building their own infrastructure. In our latest video, I break down Zeus - the $8,500 supercomputer sitting in my office that’s currently generating $48K+/month and running huge parts of my business. And no… this isn’t theory. This machine is running 24/7 powering: • massive lead scraping systems • email verification for hundreds of thousands of emails • multiple n8n automation engines • lead databases with millions of records • open-source tools replacing expensive SaaS All on one machine with zero monthly hosting costs. In this video you’ll learn: ⚡ Why cloud infrastructure becomes insanely expensive once you scale automation ⚡ Why Mac Minis and typical setups can’t handle serious automation workloads ⚡ How open-source tools can replace many SaaS products you’re paying for ⚡ The exact hardware specs and parts list to build your own system And lots more! If you’re serious about AI automation, lead generation, and building real infrastructure for your business… this video will completely change how you think about your tech stack. Watch the full breakdown now and see exactly how Zeus works.

I have a Bonus Gift for you when you reach Level 2 in the community: --> 10 Lessons - My Best BUSINESS ADVICE 1. Level Up by Introducing Yourself Below in the comments. 2. Then Like and Comment on someone else's. By LIKING & COMMENTING you will earn points and level up the leaderboard, gaining you access to more Classroom Modules. Leaderboard members can qualify to be invited to Insiders Masterclasses! ⚡️ 𝐀𝐂𝐓𝐈𝐎𝐍 𝐒𝐓𝐄𝐏⚡️ ☎️ Join the New Members Clarity call every Friday at 4PM EST (this is only for new members) You can find the next one in the calendar Like & Comment on someone else's introduction and make a friend 🤝 🆕 Learn the Skool Platform in the "Get Started" in the Classroom 🚀 Start Learning Lead Gen Secrets with the full Masterclass. ✅ Check off Each Module as you complete them. Questions? Search for them in the Search Bar If you can't find the answer, post your question in the community... Let’s get to work! Lead Gen Jay PS - Review Rules & Community Guidelines Click Here

Alright… this one changed my content game completely. I built a custom AI thumbnail engine that now creates scroll-stopping YouTube thumbnails for about $1.30 each. Not templates. Not Canva hacks. Full custom thumbnails built around proven designs. Here’s how the system works 👇 First, I built the entire workflow inside an app using Claude Code. Everything lives in one place: - script ideas - competitor research - thumbnail generation - organized media library No bouncing between 6 tools. Then I used Ampify to scrape top-performing thumbnails from competitors based on specific keywords. So instead of “guessing” what looks good… I’m reverse engineering what’s already winning. Next step was the real unlock: I trained a custom Flux LoRA model on my own face and body. Now I can generate: - confident poses - pointing at text - excited reactions - thinking / shocked expressions All photorealistic. No photoshoots. No lighting setups. For editing, I use Nano Banana Pro. Two workflows: 1️⃣ Competitor remix I take a proven thumbnail layout → swap the original person → replace them with my AI-generated version (full body swaps, not just faces). 2️⃣ From scratch Use text-to-image to create a strong base → layer in my AI-generated images → refine with image-to-image editing. Everything gets saved automatically inside my app so I can reuse assets anytime. Now let’s talk numbers: • Base image generation: ~$0.60 • 4 AI-generated versions of me: ~$0.12 • Body swap editing: ~$0.60 Total: around $1.30–$1.50 per thumbnail. Before this? $50+ per thumbnail from designers. Multiply that across multiple videos per week… You see the leverage. If you want the full breakdown of the workflow and prompts, watch the full video here

A lot of people think low reply rates mean they need a better template. So they keep rewriting emails, trying new openers, new CTAs, new angles. People say templates don’t work anymore. TEMPLATES AREN’T THE ENEMY In reality, templates work fine if: - The targeting is tight - The offer makes sense - Deliverability is good - Volume per inbox is low enough You can send the same email to 2,000 people and get great results or send a “perfect” custom email and still get ignored. Relevance beats personalization. TEST WITH ENOUGH DATA Another mistake is judging a campaign too early. Sending 50 emails and getting 1 reply doesn’t mean anything. Sending a few hundred to a few thousand (depending on your setup) gives a much clearer signal. But this doesn’t mean blasting. - Keep volume per inbox low - Ramp slowly - Let the campaign run long enough to see real replies - Then decide what to change. TRACK THE RIGHT METRIC Open rate is unreliable; we discussed this here. Better metrics: - Total reply rate - Positive reply rate - Booked calls You can have a high reply rate but no interest. That usually means the copy creates curiosity but not real value. Positive replies tell you if the offer actually fits the market. That means, offer clarity matters more than clever copy. Good emails usually fall into one of these: Make money Save money Save time If the reader can’t quickly understand what they get, reply rate drops. SIMPLE TESTING CYCLE THAT WORKS - Write a few variations - Send with safe volume - Let the campaign run - Look at replies, not opens - Keep the winner - Test again Cold email improves with data, not guesses. Curious what most people here changed that made the biggest difference. Copy, targeting, or infrastructure?

Instead of sending long outreach messages, I switched to:– 1 line personalization– 1 clear outcome– 1 simple question Replies actually improved. Curious what’s been working for you guys recently? 👉 No hype, just sharing + inviting others