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🔒 Q&A w/ Nate is happening in 26 hours
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🚀New Video: Antigravity + Nano Banana 2 Destroys Every AI Image Tool (FREE Skill)
In this video, I show you how to use Antigravity with Nano Banana 2 to generate insane images with perfect text using JSON prompting. JSON prompting gives us so much more control over the image generation process, and the results are way more consistent than traditional prompting. Because of that, I built a skill around this workflow so that whenever I want to create an image for a video or any other project, Gemini 3.1 Pro in Antigravity automatically uses the skill to craft a perfect JSON prompt, which then generates a perfect image every time. I walk you through exactly how all of this works step by step and show you how to set it up for yourself so you can start getting the same results. GET THE RESOURCES HERE
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🚀New Video: Claude Code Skills Are Broken (Beginner to Pro)
I've genuinely never been as productive as I am right now, and it all comes down to Claude skills. In this video, I break down everything you need to know about them, even if you've never heard of the concept or built a single skill before. I'll explain what skills actually are, why you should care about them, and exactly how they work under the hood. I'll even do a full live build of a skill from scratch so you can see the entire process in action. By the end of this video, you'll be a pro at building and using Claude Code skills. GRAB MY SKILLS HERE
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🏆 Weekly Wins Recap | Feb 21 – Feb 27
SaaS builds. $16K contracts. First clients. Outbound systems going live. This week inside AIS+ was all about leverage turning into real results. Here are a few standout wins inside AIS+ 👇 👉 @Michael Elliott landed a $16.8K contract in just 10 hours of work using Claude Code. 👉 @Krishna A closed another $2,000 deal - now $4K+ this year building apps, agents, and SaaS. 👉 @Viktorio Halcu secured his first client on commission, building an AI outbound calling agent. 👉 @Ahmad Abd Alkarim built his first full vibe-coded SaaS with multi-tenant authentication and dashboard systems. 👉 @Mike Thomson launched Outreach Dashboard v2 - full cold email infrastructure stack live and ready to scale. 🎥 Super Win Spotlight: @Mike Thomson | Systems Before Scale Mike didn’t join looking for magic. He joined because he saw people actually building. After testing multiple systems, he rebuilt his entire cold outreach infrastructure using insights shared inside AIS+. Domains. Inboxes. Warmup. Follow-ups. Automation stack ready. Now he’s weeks away from launching outreach at scale. Mike’s journey is proof that you don’t need hype - you need systems, consistency, and the right room. 🎥 Watch Mike's story 👇 ✨ Want to see wins like this every week? Step inside AI Automation Society Plus and start building assets that compound 🚀
🏆 Weekly Wins Recap | Feb 21 – Feb 27
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n8n just made AI agents production-safe 👀
If you’re building AI automations, you’ve probably faced this problem: “What if the agent sends the wrong email?” “What if it refunds the wrong amount?” “What if it writes bad data to production?” That hesitation is real. With the new Human-in-the-Loop (HITL) features in n8n v2.5+, we finally have a clean native solution. Here’s what this unlocks 👇 1️⃣ Tool Approvals Your AI pauses before executing sensitive actions. Refunds. Emails. Database writes. You approve → it runs. No approval → no action. 2️⃣ Send Approvals Where You Already Work You can route approval requests to: Slack | Microsoft Teams | Discord | Telegram | WhatsApp | Gmail | Outlook No dashboard hopping. 3️⃣ See Exactly What the AI Is About to Do Not just “Approve action?”You see: - The drafted email - The refund amount - The exact payload So approvals are informed, not blind. 4️⃣ Multi-turn Agent Conversations Agents can now: - Pause - Ask follow-up questions - Wait for clarification - Continue based on your response This makes workflows feel collaborative instead of robotic. The interesting part? They’re exploring editable parameters during review — meaning you’ll be able to tweak the AI output before approving it. That’s huge for real-world deployments. Curious: For those building AI agents here —Are you already using Human-in-the-Loop in production? Or are you still fully autonomous? Would love to hear real setups 👇
n8n just made AI agents production-safe 👀
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