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šŸ”’ 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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šŸŽ‰ We have our FIRST graduate of the 7-Day Challenge!
Huge congrats to @Antra Verma for being the first to cross the finish line šŸ‘ To celebrate, we're hooking her up with a FREE AIS shirt, and her official completion certificate is attached below šŸ† 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. šŸ‘‰ Want to take on the challenge? Head to the Classroom section or jump in HERE šŸ‘• And if you want to grab some AIS merch for yourself, check it out HERE Cheers everyone! - Nate
šŸŽ‰ We have our FIRST graduate of the 7-Day Challenge!
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šŸ† 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. šŸš€ Standout Wins of the Week šŸ‘‰ Michael Wacht closed a $10K AI Readiness Assessment deal, sponsored by finance with training and system-integration readiness included. šŸ‘‰ @Uros Pesic signed a Ā£9K UK agency client for a 3-month ops audit and used multi-agent Claude Code to prep 20+ interviews in parallel. šŸ‘‰ @Fernando Gómez turned a corporate social-media automation system into an agency SaaS with €2.5K setup + €100/month per client. šŸ‘‰ @George Mbajiaku closed his first $1,300 client by shifting his pitch from ā€œn8n builderā€ to ā€œproblem solver.ā€ šŸ‘‰ @Josh Holladay wrapped a 30-day client sprint and earned a retainer offer for ongoing strategy, builds, and AI education. šŸŽ„ 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 ā€œCan I really do this?ā€ to ā€œHow can I make this better?ā€ 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. šŸŽ„ Watch Balaji’s story šŸ‘‡ ✨ Want to see wins like this every week? Step inside AI Automation Society Plus and start building assets that compound šŸš€
šŸ† Weekly Wins Recap | Apr 18 – Apr 24
Got banned doing outreach… how are you getting clients?
Quick question for those already landing clients with AI automation: What channels are actually working for you right now? I tried doing outreach on Facebook to local businesses in my niche, but my account got banned pretty fast — clearly I was doing something wrong or too aggressive. Are you guys finding clients through: - Cold DMs (if so, where?) - Content (YouTube, Twitter, etc.) - Freelance platforms (Upwork) - Something else? Would really appreciate hearing what’s working right now, especially for beginners trying to land their first few clients. Thanks in advanced šŸ’– Samin
We built a self-hosted platform for production AI workflows — agents, retrieval, approval steps, and observability in one runtime
The gap we kept hitting: research-grade AI capabilities exist, but putting them into a reliable, inspectable, controllable production workflow requires gluing together too many tools. We built Heym to address this. It's a self-hosted, source-available AI workflow automation platform. Visual canvas for building multi-agent pipelines, built-in vector store management for retrieval-augmented workflows, human-in-the-loop review checkpoints, full LLM execution traces, and an MCP Server to expose any workflow as a callable tool for AI assistants. The execution engine builds a DAG from the workflow graph and runs independent nodes concurrently. Agent nodes have automatic context compression so long-running agents don't silently fail as context grows. Everything runs on your own infrastructure via Docker Compose. Source available :) https://github.com/heymrun/heym
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