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🔒 Q&A w/ Nate is happening in 7 days
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🚀New Video: How to Use Your Claude Code Projects in Codex in 5 Mins
Both Claude Code and Codex can run on the same project. You just need to know what each one looks for so you don't have to duplicate files or rebuild your setup. This video walks through what to swap, what stays the same, and a quick prompt you can use to convert any Claude Code project so Codex can read it too.
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🚀New Video: The AI Career Opportunity Nobody is Talking About in 2026
Everyone in the AI space is being told the same thing right now: start an AI automation agency. But there's a bigger, quieter shift happening that fits way more people. In this video I break down a recent IBM study of 2,000 CEOs, the new chief AI officer wave, the 61-point gap between who can use AI and who actually does, and the two paths into that seat. By the end, you'll know which one fits you and why playing to your strengths matters more than chasing the loudest trend. The IBM study: https://newsroom.ibm.com/2026-05-04-ibm-study-ceos-are-reshaping-c-suite-roles-for-the-ai-era
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🏆 Weekly Wins Recap | May 9 – May 15
From €17K agentic systems and $35K builds to AI leadership roles, first workflows, and launched products - this week inside AIS+ showed what happens when consistent reps finally start compounding. 🚀 Standout Wins of the Week inside AIS+ 👉 Malek Kilani closed his first €17K agentic AI build for a sales coaching company using enterprise presales experience as the unfair advantage. 👉 @Michael Elliott shipped a $35K certification platform with 100+ API endpoints, Stripe integrations, AWS infrastructure, and recurring monthly revenue attached. 👉 @Ailin Werner landed a Head of AI role after 8 months out of work by building publicly, sharing demos, and consistently showing her work online. 👉 Ismail Islam officially launched TradePulse — a full AI-powered trading intelligence platform combining dashboards, Telegram automation, and economic analysis workflows. 👉 @Cagri Sarigoz launched HeyNews on Product Hunt after 12 months of iteration and more than 600 AI-assisted newsletter issues. ⸻ 🎥 Super Win Spotlight | @Ailin Werner Ailin’s LinkedIn Ailin joined AIS+ after losing her job and deciding to fully commit to AI automation. At first, she was learning step-by-step through ChatGPT, debugging workflows manually, and spending countless hours figuring things out alone. Then she joined AIS+ planning to stay for just one month. That quickly changed.
🏆 Weekly Wins Recap | May 9 – May 15
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Let's get to know each other! Comment below sharing where you are in the world, a career goal you have, and something you like to do for fun. 😊
AI reliability it's not hard
AI reliability is a hot topic. And something I figured out a long time ago while building in n8n is having the right harness. In fact, IBM's Tejas Kumar talked about the same thing. To increase the reliability of AI output, focus on the harness. Which is everything around it that can help it be more deterministic instead of random. Here's what I mean: When AI agents first came out on n8n, everybody was building AI brains with 10 tools. However, if you ever tried doing this, you quickly realized how unreliable it was. At least I did. So what I did was go from the AI is the brain to the AI is part of the system. This increased reliability by 10x, because now the AI could only take some input and output that. And I controlled that data, what nodes to fire, and how the output from the nodes should look. This yielded far better results than trying to prompt the AI agent to do this and do that. Because as you know, trying to prompt yourself out of a problem never works. But controlling everything around the AI and only letting it do a few things? That works quite well.
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