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🔒 Q&A w/ Nate is happening in 3 days
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🚀New Video: I Tested GPT 5.5 vs Opus 4.7: What You Need to Know
OpenAI just dropped GPT 5.5 and the benchmarks look strong against Opus 4.7, but benchmarks only tell part of the story. I ran four head-to-head experiments in Codex and Claude Code to see how the models actually compare on speed, cost, and output quality. The results were not what I expected.
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🚀New Video: Claude + HyperFrames Just Solved Video Editing
In this video I'm showing you how to edit videos end to end using Claude Code as the orchestrator, with HyperFrames handling motion graphics and video-use handling the trimming. You drop in a raw video, tell it what you want in natural language, and it cuts the filler words, syncs animations to your exact timestamps, and renders the final video. I walk through the full setup, the prompting style that actually works, and how to iterate fast with the new timeline editor. GITHUB REPO
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🏆 Weekly Wins Recap | Apr 18 – Apr 24
From high-ticket deals and agency SaaS launches to client systems, websites, and real-world automations - this week inside AIS+ was packed with serious builder energy. 🚀 Standout Wins of the Week 👉 Michael Wacht closed a $10K AI Readiness Assessment deal, sponsored by finance with training and system-integration readiness included. 👉 @Uros Pesic signed a £9K UK agency client for a 3-month ops audit and used multi-agent Claude Code to prep 20+ interviews in parallel. 👉 @Fernando Gómez turned a corporate social-media automation system into an agency SaaS with €2.5K setup + €100/month per client. 👉 @George Mbajiaku closed his first $1,300 client by shifting his pitch from “n8n builder” to “problem solver.” 👉 @Josh Holladay wrapped a 30-day client sprint and earned a retainer offer for ongoing strategy, builds, and AI education. 🎥 Super Win Spotlight | Balaji Iyer Balaji joined AIS+ knowing he could build something useful - but he needed structure, clarity, and confidence. Since joining, he has: • Set up his own cloud instance, Docker, Postgres, and self-hosted n8n • Built a real backend workflow from scratch • Created an app he now improves daily • Moved from “Can I really do this?” to “How can I make this better?” His biggest shift? Going from sitting on the sidelines → to finally building something he’s proud of. Balaji’s journey is proof that once you take the first step, momentum starts to build. 🎥 Watch Balaji’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 | Apr 18 – Apr 24
Everyone tells you: "Use Haiku to run your tasks...
And save context." Let me be real with you: Haiku is terrible at that. Every time you try to run a task, a skill, or anything that requires actually doing something, Haiku thinks it's executing it, then in the background it just... tells you to wait. It doesn't actually trigger tools. It might be fine for writing code snippets, looking up information, or things that don't require activating any real tooling inside your ecosystem or connected apps. But using it for execution? Headache guaranteed. Wasted time. Burned tokens trying to make it understand. For that, use Sonnet. Keep Haiku for drafting something you want Sonnet to review later, that way you're not burning through your context. Or for verifying information. But don't use it to trigger tools. It doesn't do it well, and the more complex the skill, the worse it gets.
🚀New Video: Stop Learning n8n in 2026...Learn THIS Instead
Stop learning n8n in 2026. Seriously. If you’re still trying to learn n8n in 2026, you might be focusing on the wrong thing. In this video, I explain why you should stop learning n8n in 2026 and what you should learn instead. If you’re thinking about learning n8n in 2026, watch this first. I break down why some creators say to stop learning n8n in 2026, what the better alternative is, and how you can stay ahead by learning the right automation skills instead. Enjoy!
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