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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
SCAM ALERT: Watch out for fake "Skool Support" bots!
Hey guys, just got this fake comment under my last post. Someone is creating fake profiles named "Skool Support" with the official logo to phish for your credentials. It's 100% a scam. ❌ Do NOT click the link. Skool will NEVER suspend your account via a public comment. Stay safe! 🫡
SCAM ALERT: Watch out for fake "Skool Support" bots!
The approval gate is the system 💻
One thing I think gets underrated in AI automation: The approval gate is not a small detail. It is part of the system. If agents are helping with real business work, they need to know when to continue and when to stop. Examples: - Revenue Ops agents can research leads, draft follow-ups, update CRM fields, and flag hot opportunities, but a human should approve risky outbound messages. - Finance agents can check invoices, match records, and prepare reconciliation notes, but a human should review exceptions. - Vendor agents can collect docs, send reminders, and track missing steps, but a human should handle mismatches. - Engineering agents can break down tasks, run checks, and summarize changes, but an engineer should review before shipping. That is what separates a useful automation from a risky one. The best agent systems are not just autonomous. They are clear about memory, schedules, tool access, limits, exception paths, and human review. If the approval gates are weak, the system will not be trusted with real work. Where do you usually place the human approval step in your automations?
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