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🔒 Q&A w/ Nate is happening in 6 days
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🚀New Video: I Can Actually Watch My AI Agents Work Now
In this video, I show you exactly how I created a system where my AI agents in Claude Code have their own virtual office and I can watch them work in real time. We were able to do this using Pixel Agents, a VS Code extension that turns your terminal agents into animated pixel art characters. I walk through a full demo spinning up multiple agents in parallel, show you step by step how to set it up yourself, and share my honest thoughts on whether this is actually useful or just a fun gimmick.
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🚀New Video: From Zero to Your First Agentic AI Workflow in 26 Minutes (Claude Code)
This full guide shows exactly how to go from zero to your first agentic AI workflow in 26 minutes with Claude Code, step by step. This is the most valuable video I've ever made on Agentic AI Workflows, so make sure you watch this full tutorial. Hope you enjoy!
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🏆 Weekly Wins Recap | Feb 14 – Feb 20
This week inside AIS+ was all about ROI, real client work, and turning skills into assets. A lot of “firsts.” A lot of momentum. And a lot of proof that execution compounds. Here are a few standout wins inside AIS+ 👇 👉 @Rishi Raj closed a $1,000 client on his birthday - full ROI on his community investment… and he’s only 17. 👉 Dave-Amy Simpson signed and delivered their first paid vibe-coded automation gig, breaking down pricing and value-based selling. 👉 Sven Loeffler got his first fully implemented client workflow live, removing manual data entry completely. 👉 @Emmanuel Gonzalez shipped his first landing page + AI assessment flow, complete with email automation and spam protection. 👉 @Sai Santosh Kumar D rebuilt his website using Framer MCP + Claude Code, leveling up speed and execution. 🎥 Super Win Spotlight: @Abdurrahman Ibrahim | $8,000 from Showing Up Abdurrahman calculated it. $8,000 earned directly from AIS+. No cold DMs. No aggressive outreach. Just posting valuable work consistently. A simple tutorial about OpenAI Web Search API brought in a high-end client. Other posts brought more inbound opportunities. His biggest surprise? How easy it became once he started showing authority publicly. When you share real work in a high-signal room, the right people notice. Abdurrahman’s story is proof that visibility + value = opportunity. 🎥 Watch Abdurrahman’s story 👇 ✨ Want to see wins like this every single week? Join AI Automation Society Plus and turn learning into clients, systems, and real ROI 🚀
  🏆 Weekly Wins Recap | Feb 14 – Feb 20
MailCaff Update > bounce webhook integration
Did some work on the bounce webhook stuff today. Integrating with different providers like Instantly, SendGrid, and Mailgun. It's pretty cool how these bounces feed into the learning model. Every failed delivery tells me something new. Like a little clue on why certain patterns don’t work or why a specific domain might be dodgy. These signals keep making the model smarter. Helps in refining the catch all domain scoring too. The bounce data kind of acts like a feedback loop. It nudges the prediction model to adapt and improve, especially with weird patterns or common traps. I think the key here is how this data gets re used in email verification and finding. It’s all interconnected. Knowing when an email bounces back informs pattern adjustments. Or even helps identify domains that might go stale or get flagged as spam traps over time. Been tweaking the way these bounces are logged and fed back into the system. Trying to make it more real time and less dependent on manual checks. Anyone else tie bounce data into their systems like this? Curious how others handle it or if there's a different angle I haven't considered yet. MailCaff.com is a affordable solution to finding and verifying emails. There are still some pilot spots available with 10.000 free credits, DM me if you are interested.
👋 Hi Skool community!
I’m new here and excited to join! My focus is AI automation and building practical workflows using Make.com 🤖. I’m looking to learn from real projects and experienced members, so I’d love to hear from you: What’s one tip you wish you knew when starting AI automation? Or what’s the first workflow you’d recommend building as a beginner?
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