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21h •
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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2d •
🎉 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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5d •
🏆 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 🚀
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9d •
🚀New Video: How to Never Hit Your Claude Session Limit Again
If you're hitting session limits in Claude Code, this video breaks down exactly how tokens actually work and the habits that will stop you from burning through them. I cover context rot, manual compaction, the rewind feature, sub agents, markdown conversions, and a free token dashboard I built so you can see where your tokens are really going. By the end you'll know when to clear, when to chain sessions, and why the 1 million token window is insurance, not a goal to fill. Token Dashboard 10 GitHub Repos: https://x.com/DeRonin_/status/2045420155434320270?s=20
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#7dayAISChallenge — Day 2 🕷️
Built a Firecrawl scraper today using its MCP server in Claude Code. A core lesson for me: how to make MCP servers actually reliable. 🔌 MCP servers ship "thin" on purpose. Each tool comes with just a one-line description, because those descriptions get loaded into Claude's context on every turn, keeping them short avoids bloating context across the many MCPs you might install. The tradeoff: the server can't ship opinions about your budget, your use case, or your project conventions. 📋 Fix: a project-local cheatsheet. A markdown file in the repo with an intent → tool decision matrix, cost annotations (cheap vs expensive calls), anti-patterns ("don't use X for Y"), and gotchas you've hit. Then wire it into CLAUDE.md with a line like "consult firecrawl-cheatsheet.md before calling any mcp__firecrawl__* tool." That trigger is what forces Claude to read it every time, not just when it feels like it. 🎯 Why this matters: LLMs are non-deterministic by default. Give it the same prompt, it might make different tool choices. Without rails, Claude might reach for the most powerful-sounding tool when a cheap scrape would do the job for 1/10th the cost. A cheatsheet collapses the decision space: predictable tool choice, predictable cost, fewer credit surprises. ⚡ But don't pre-cache. Not every MCP deserves a cheatsheet. Writing and maintaining one has its own cost. My rough test: does it have >5 overlapping tools, a real cost per call, non-obvious gotchas, and will I reuse it across many sessions? 2+ yes → worth writing. Otherwise skip and let Claude figure it out from the built-in descriptions. If unsure yet: install the MCP, use it raw, and let actual friction tell you what to encode. Don't speculate. On to Day 3. 🚀
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