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🔒 Q&A w/ Nate is happening in 28 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
💸ChatGPT Plus anyone?
I use AI daily and want to optimize cost and flexibility. Is a ChatGPT subscription still worth it, or is it smarter to shift that budget to OpenAI API usage? For those using the API as their primary interface, how do you structure your workflow, and what trade-offs have you experienced? (Or maybe just switch completely to claude?)
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🚀 The Era of Agentic Workflows Is Here (And Why It Changes Everything)
For years, automation meant dragging nodes in tools like n8n, Make, and Zapier. Connect this → map that → handle errors → pray nothing breaks. It worked.But it was fragile. One API change. One unexpected response. And your entire workflow collapses. That’s traditional automation. Now we’re entering something different: 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 Instead of wiring every step manually, you define the goal and the agent figures out the steps. Recently, I built an autonomous AI News Agent using Antigravity, leveraging Claude Opus 4.6 for natural language agent control and Gemini 2.0 Flash for automated news summarization within structured pipelines.The difference was obvious. I didn’t: • Manually define every integration • Hard-code every edge case • Write defensive logic for every possible failure Instead, I defined the outcome: “Every morning at 9AM, fetch important AI news and send me a clean briefing to my Gmail inbox” The agent handled: Research Filtering Formatting Error handling 𝐖𝐡𝐲 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰𝐬 𝐖𝐢𝐧 Here’s what makes them fundamentally different: • Outcome-driven, not step-driven: You define what needs to happen. The system decides how. • Self-adaptive: If something changes (API, format, response), the agent can adjust instead of crashing. • Less manual debugging: The agent can interpret errors and fix issues without you rewriting the entire flow. • Faster to build: No more wiring 20 nodes. One directive can replace an entire visual workflow. • Scales better: As complexity grows, you don’t get a spaghetti mess of connections. • You focus on thinking, not plumbing: Your value shifts from wiring tools to designing intelligent systems. Traditional tools (n8n, Make, Zapier):You design the steps. Agentic workflows:You design the outcome. That shift changes everything. Instead of being a builder wiring nodes,you become an architect defining intent. Automation was about workflows. Agentic systems are about intelligence. And this shift is just getting started.
🚀 The Era of Agentic Workflows Is Here (And Why It Changes Everything)
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