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🔒 Q&A w/ Nate is happening in 8 hours
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🚀New Video: How To Win With AI (without starting an agency)
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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ANNOUNCING: What's working in AI in 2026 (real projects, real revenue)
Quick news. We're doing our first virtual event, and the rule is simple: every person on stage has to show their actual work. The actual projects they're selling. The actual outreach they're using to land clients. The actual numbers behind it. No theory. No tutorials. Just what's working in 2026, taught by the people doing it. Waitlist's open. Get on it before tickets go live: -> What's working in AI in 2026 (real projects, real revenue) PS: Annual members of AIS+ get in for free. We will be announcing discounts for monthly members. If you’ve been thinking about joining AIS+, it’s a good time.
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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
What are you using Claude or N8N for?
I am new to both Claude and N8N. I am looking to build my own ai software. What are your current uses and which is better for what usage?
What are you using Claude or N8N for?
Did I build the right thing, or just overengineer a family business problem?
Looking for honest feedback from people who’ve built real systems in n8n. At what point do you decide a business is specific enough to justify a custom build, and at what point do you stop reinventing the wheel and use off-the-shelf software with automation around the edges? Three months ago, this started as one small task for my dad’s business: a daily email showing which supplier and customer payments were due that week, as my first n8n automation real project... He runs a small Italian tour operator for marathon and half-marathon trips, with around 10 to 12 events a year and 900+ quote requests. Three months later, it had turned into a full back-office system on self-hosted n8n + Airtable, and it’s now handling real bookings. Right now, it’s 27 workflows covering quote intake, pricing, quote emails, booking forms, PDF contracts, payment follow-up, booking modifications, error handling, and recovery flows. I didn’t seriously evaluate off-the-shelf booking software before building, mainly for three reasons: 1) The pricing and booking rules felt weird enough that I assumed SaaS might only work through configuration and paid customization, or a pile of workarounds 2) Dad is absolutely non-technical, so I wanted the tool to match how he actually works day to day 3) Honestly, I wanted to know if I could build it That third reason is the one that makes me question the first two. The system fits him well and has cleaned up several messy manual processes. Now everything is in one Airtable interface, arranged in a way that makes sense to him. Does this sound like a fair custom n8n use case, or the kind of problem where the smarter move would have been using an existing quote-to-booking products and only automating around it? I’m especially interested in answers from people who’ve lived through the maintenance side of similar builds, because “I knew I could build it” is exactly the reason I don’t fully trust my own judgment here. I’m still new enough to this stuff that I can’t fully tell where genuine fit ends and build excitement starts.
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