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🔒 Q&A w/ Nate is happening in 7 days
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I sold my AI agency. here's the playbook
In September 2024 I started an AI automation agency. Nine months later I was doing $100K/month in recurring revenue. Then I sold my share to my partners. I took everything I learned: - The client acquisition system - The pricing - The delivery process … and I turned it into a step-by-step playbook for building a one-person AI agency. No code. No team. No guesswork. See exactly what's inside: -> I sold my AI agency. here's the playbook PS: If you are an AIS+ member, this is included in the Scale module. No need to purchase separately. - Nate
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🎉 We have our FIRST graduate of the 7-Day Challenge!
Huge congrats to @Antra Verma for being the first to cross the finish line 👏 To celebrate, we're hooking her up with a FREE AIS shirt, and her official completion certificate is attached below 🏆 Let's give her a massive round of applause in the comments, she set the bar! Can't wait to see more of you submit your projects and join the graduate club. 👉 Want to take on the challenge? Head to the Classroom section or jump in HERE 👕 And if you want to grab some AIS merch for yourself, check it out HERE Cheers everyone! - Nate
🎉 We have our FIRST graduate of the 7-Day Challenge!
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🏆 Weekly Wins Recap | Apr 18 – Apr 24
From high-ticket deals and agency SaaS launches to client systems, websites, and real-world automations - this week inside AIS+ was packed with serious builder energy. 🚀 Standout Wins of the Week 👉 Michael Wacht closed a $10K AI Readiness Assessment deal, sponsored by finance with training and system-integration readiness included. 👉 @Uros Pesic signed a £9K UK agency client for a 3-month ops audit and used multi-agent Claude Code to prep 20+ interviews in parallel. 👉 @Fernando Gómez turned a corporate social-media automation system into an agency SaaS with €2.5K setup + €100/month per client. 👉 @George Mbajiaku closed his first $1,300 client by shifting his pitch from “n8n builder” to “problem solver.” 👉 @Josh Holladay wrapped a 30-day client sprint and earned a retainer offer for ongoing strategy, builds, and AI education. 🎥 Super Win Spotlight | Balaji Iyer Balaji joined AIS+ knowing he could build something useful - but he needed structure, clarity, and confidence. Since joining, he has: • Set up his own cloud instance, Docker, Postgres, and self-hosted n8n • Built a real backend workflow from scratch • Created an app he now improves daily • Moved from “Can I really do this?” to “How can I make this better?” His biggest shift? Going from sitting on the sidelines → to finally building something he’s proud of. Balaji’s journey is proof that once you take the first step, momentum starts to build. 🎥 Watch Balaji’s story 👇 ✨ Want to see wins like this every week? Step inside AI Automation Society Plus and start building assets that compound 🚀
🏆 Weekly Wins Recap | Apr 18 – Apr 24
Welcome! Introduce yourself + share a career goal you have 🎉
Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊
I've watched dozens of businesses try to implement AI
(And stall out before they see a dollar of ROI) Here are 5 things they always underestimate: 1️⃣ Data is never ready ↳ Every company thinks their data is "pretty clean." It never is. Messy sources, missing fields, inconsistent labeling, and access permissions issues will consume more time than the actual AI work. 2️⃣ Infrastructure is not optional ↳ You cannot bolt AI onto broken systems. ETL pipelines, API layers, CRM integrations, and vector databases have to be built before any model works reliably. This is where most projects stall. 3️⃣ Prompt engineering is real work ↳ Hundreds of prompts get tested before anything goes to production. RAG pipelines, guardrails, cost optimization passes. If your team thinks "just type better prompts," they are not ready. 4️⃣ The human side is the hardest part ↳ Internal resistance, retraining staff, and changing workflows take longer than the technical build. You can have a working AI system and still fail because the team will not use it. 5️⃣ ROI takes months, not weeks ↳ Every company that hit $500K in savings and 30% productivity gains had months of iteration behind it. There are no shortcuts. The iceberg is real, and you have to go through it. This is what implementing AI in a real business actually looks like. And every business that's hit real ROI pushed through these phases.
I've watched dozens of businesses try to implement AI
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