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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
Day 3: learning skills | 7 Day AIS Challenge
Day 3 log: - What skill I built: Real Estate Lead Qualifier. It qualifies a lead from 1-10 (cold to hot) by analizing the answers from a form (potentially meta ads form). - One optimization you made: as it is a very simple skill, I didn't find the need to change it. - My thoughts: Building skills is a convenient way to package a service. In the future I want to build a "real estate investment analysis" skill to automate this step, which is very time consuming, specially considering I want to analyze at least 20% of the market
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Day 3: learning skills | 7 Day AIS Challenge
Your Agent Can Only Do What Its Tools Allow
10 days in, and this one might be my favorite so far. When I first started with OpenClaw, I had no idea what tools my agent actually had. I was installing random stuff and hoping it would work, and it took me way too long to realize the whole system clicks once you separate two things in your head. Tools and skills are not the same thing. Tools are the raw capabilities, like exec, read, write, and web search. They're the actual hands. Skills are just the instruction manuals that teach your agent when and how to use those tools for a specific job. So a Gmail skill, for example, doesn't give your agent any new powers, it just teaches it how to use web fetch and exec to talk to the Gmail API. Once that clicked, everything else got easy. I also get into Claw Hub in this one, which is honestly kind of wild. 3000+ community skills, one command to install, and you can bolt new capabilities onto your agent in seconds. But the part I really wanted to dig into, and the reason I almost split this into two videos, is the security side. Skills are the single biggest attack surface in any OpenClaw setup, and a bad skill runs with the same permissions as your entire system. I walk through what to actually look for in the source code before you install anything, plus the 4-step process I run every single time. If you're installing skills without reading the code first, watch this one before you install one more thing.
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