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12h •
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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1d •
🎉 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
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4d •
🏆 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 🚀
1h •
7 Day Challenge - Day 2
Day 2 done! 🎉 Hit a wall straight away trying to scrape Seek — their bot detection is no joke, blocks Firecrawl cold regardless of approach. Simple fix: switched to Jora. Same Melbourne AI & automation jobs, no fight. 20 clean results extracted to CSV in minutes. Could be a cool extension to add the weekly schedule task to this to automate sending straight to my inbox each Monday Biggest lesson: know when to stop and switch targets. Not every site is worth fighting. Still documenting everything as I go!
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🚀 I just built an Agent OS (and I want to show you)
Hey everyone, After 3+ years building AI automation systems, I realized something: the bottleneck isn't the model. It's context and resources. Better context = better agents. But here's the real problem: everything is segmented. Your agents are in Pydantic AI. Your workflows are in n8n. Your knowledge is scattered. Your execution is fragmented. So I built AgeniusDesk, a unified platform that manages ALL of it: agents, workflows, knowledge, resources. One command center. No silos. What is it? A unified management layer for AI platforms, agents, and workflow frameworks (n8n, Pydantic AI, Flowise, etc.): - Multi-instance n8n visibility + control from one dashboard - AI agents (Pydantic, Claude, OpenAI, local models) as first-class citizens - Real-time error detection + AI diagnostics (catches issues before they blow up) - Agent Lab: write and debug code with AI, deploy instantly - Encrypted secrets vault (never plaintext, never exposed) - Shared resource layer: context, guardrails, execution contracts - Full local/self-hosted control (no vendor lock-in) Built on Python + FastAPI + Vanilla JS. Docker compose ready. Why I'm posting this here: This community gets it. You're not asking for another no-code builder or magic button. You're building real systems, running agents in production, managing multiple deployments. AgeniusDesk is built for that. What I want from you: Drop a comment and tell me: - → Are you managing multiple n8n instances or agents right now? - → What's your biggest pain point? (visibility? errors? scale?) - → Would you test-drive this if it solved that problem? I'm open-sourcing the whole thing. No strings. Just want to build something the community actually needs.
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