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🔒 Q&A w/ Nate is happening in 26 hours
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Want to get featured in front of 500,000+ people?
If you've sold an AI automation to a client, any tool, any industry, I want to hear about it. I'm collecting case studies to break down on the channel. This is your chance to build authority, get your brand out there, and showcase what you've built. 🎁 Bonus: I'll be analyzing all submissions and sharing the trends with you: what's selling, which industries are buying, and where the opportunities are. So even if you don't get featured, you'll benefit from the data. 👉 Fill it out HERE Takes 5 minutes. You can submit multiple projects.
Want to get featured in front of 500,000+ people?
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🚀New Video: The Only Cold Email You Need to Get AI Clients
In this episode, I brought on Suvam. He generated over $500,000 in sales opportunities in six months using cold email as a beginner. The core lesson is to sell the outcome first and build after commitment. Suvam overcame the trust barrier with a zero-risk offer: doing the work for free in exchange for a case study reference. This worked so well that one free client became his first paying client and the social proof nearly doubled his reply rates. His playbook uses AI to find pre-filtered niche databases, not massive lead directories, and employs a simple 4-step automation for personalization at scale.
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🏆 Weekly Wins Recap | Feb 7 – Feb 13
Big contracts, First clients, Real cost savings.This week inside AIS+ was about execution over excuses. Here are a few standout wins inside AIS+ 👇 👉 @Glenn Marcus closed a $60K Agentic Engineering contract in 72 hours after launching his new agency site. 👉 Ai Stromae built an automation saving a client €30K per year - €1K paid upfront with referrals coming. 👉 @Mike Thomson landed his first real paying client through persistence and smart follow-ups. 👉 @Jeremy Aune closed his first AI voice assistant client - with expansion already in discussion. 👉 @Meir Heimowitz cut $1,400/month in business costs using Claude Code automations. 🎥 Super Win Spotlight: @Glenn Marcus | $60K in 3 Days Glenn launched his new agency site on Thursday. A friend forwarded it to a CEO. By Tuesday, a $60,000 contract was signed. But this didn’t happen overnight. Through AIS+, Glenn sharpened his thinking around real use cases, agentic systems, and applying AI to actual business problems - not just tools. That clarity gave him the confidence to pivot his consulting company into an Agentic Engineering firm. The result? Right message. Right positioning. Right timing. $60K in 72 hours. His story is proof that when preparation meets opportunity, things move fast. If you’re AI-curious or already building, this is what momentum looks like. 🎥 Watch Glenn share his story 👇 ✨ Want to see wins like this every single week? Join AI Automation Society Plus and turn learning into real outreach, real clients, and real momentum 🚀
🏆 Weekly Wins Recap | Feb 7 – Feb 13
🚀New Video: I Turned Clawdbot Into the Ultimate Personal Assistant
I turned Clawdbot into my 24/7 executive assistant, and in this video, I'm showing you exactly how to do the same. After spending 100+ hours refining this setup, I've built a system where my Clawdbot, Klaus, proactively manages my tasks, checks in on what I'm working on to offer help, and even builds things while I sleep. I walk you through the custom dashboard I use to track everything it's doing, share the exact setup you can copy, and reveal the hacks I've discovered along the way that most people miss.
IF you blinked this week, you missed 4 big AI moves
Here are the releases on my radar: ▶️ GitHub Agentic Workflows (technical preview): Describe outcomes in Markdown, run agents inside GitHub Actions. Supports Copilot, Claude Code, and Codex — all through MCP. ▶️ OpenAI GPT-5.3-Codex-Spark: Ultra-fast coding model on Cerebras hardware. 1,000+ tokens/second for real-time edits inside Codex. ▶️ Anthropic Claude Opus 4.6: 1M token context window, longer agentic tasks, and "agent teams" that split work across coordinated agents. This is what I'm running AX Platform on. ▶️ Google Gemini 3 Flash: Now the default Gemini model. PhD-level reasoning at Flash speed, plus Deep Think upgrades for complex research problems. The pattern: better brains (models) + better hands (agents + workflows) + more enterprise guardrails (governance, visibility, review). But here's the thing, these agents still operate in silos. GitHub's workflows stay in GitHub. Codex stays in Codex. Claude's agent teams stay in Claude. What happens when you need all of them on the same project? That's what we built AX Platform to solve. MCP-native. Any agent. Shared workspaces. One audit trail. We proved it with the Refactor Cell: 9 agents (4 Claude, 5 Gemini) modernized 96K lines of code in 3 weeks.
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