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🔒 Q&A w/ Nate is happening in 6 days
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🚀New Video: How to Sign AI Workflow Clients (Without Posting Content)
This video breaks down how to sign AI workflow clients without posting content. No personal brand. No audience. Just a simple way to land AI workflow clients even if you’re starting from zero. If you want to know how to sign AI workflow clients without posting content, this is exactly how I’d do it today. Hope you enjoy!
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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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🏆 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 5 Days 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
How to Build an AI Business That Actually Lasts...
You can't build a real company on someone else's foundation. So what's the solution? You must build with data first. Here's how it works: 1. Figure out what your customer is trying to achieve 2. Map out all the things that need to happen for them to achieve it 3. Build systems that capture data about those things 4. Use that data to predict outcomes The AI just turns messy input into clean numbers. Your data and equations make the actual decisions. This is how you build something that lasts 10 years instead of 6 months. I just released a video breaking down the full framework. It's 15 minutes. Link in comments. Stop building wrappers. Start building moats. https://youtu.be/iyZwe6kAmfQ
I built a new software primitive. It replaces AI screenshot agents and Vision Based AI Browsers
First things first : This is a Open Source project. No Funnel. No sell. No nothing to make that clear. Every AI agent framework I've seen does the same thing: take a screenshot, send it to a vision model, guess where to click. It works — sometimes. The best benchmarks show 42-72% success rates and 10-20 minutes per task. I asked a different question: why is AI looking at screens at all? Every Windows application already describes itself as structured text through the Accessibility Layer (built for screen readers since 1997). Every button says its name. Every field shows its value. Structured. Queryable. Free. So I built a small tool that reads this tree and stores it in a local database. Instead of "here's a screenshot, guess where Save is", the AI asks "which buttons exist?" and gets a text answer in milliseconds. Results on day 1: - 360 Google Sheets cells filled in 90 seconds - Token cost per step: 50-200 instead of 2,000-5,000 - Works with any LLM — including local models - Works with any Windows app, not just browsers Open source, 700KB, Rust: https://github.com/IamLumae/DirectShell Whitepaper : https://dev.to/tlrag/-directshell-i-turned-the-accessibility-layer-into-a-universal-app-interface-no-screenshots-no-2457 Youtube Demo: https://youtu.be/nvZobyt0KBg Curious what you think — is this useful for your automation workflows, or is browser-only good enough for most use cases?
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