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🔒 Q&A w/ Nate is happening in 6 days
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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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🚀New Video: Every Level of Claude Explained in 21 Minutes
I've spent over 400 hours inside Claude, and I'm breaking down exactly what separates someone stuck on level 1 from someone running five parallel sessions while they sleep, with the cheat codes to jump between each stage. Hope you enjoy!
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Cape Town AI Mastermind: Behind the Scenes
In February, I spent a week in Cape Town, SA with some of the top AI entrepreneurs in the space for a mastermind. We had hundreds of community members join us. I met some amazing people and left feeling so energized and inspired. Which is why I've been uploading almost daily lately, haha! Anyways, just dropped a behind the scenes vlog if you're interested in checking it out. AIS is planning on doing big events and meetups regularly, so if this trip looked like fun, stay tuned for events in the future!
You already know the AI output was bad. You just blamed the wrong thing.
Most founders try AI once. One prompt. One mediocre result. Then they quietly decide it doesn't work for them. One prompt is a starting point. A verdict needs more than that. That is the equivalent of hiring someone, giving them zero context, and letting them go before lunch. The output was bad. The brief was the problem. Here is what most people skip before they type anything: They do not tell the model what they are actually trying to make. They do not show it what good looks like. They do not say who it is for or what to avoid. Then they get a generic answer and conclude AI is overrated. The model can only work with what you give it. Vague input produces vague output. One attempt gives you one data point. The better question is: did I give it enough to work with? Before you write off a tool, try this once: 1. Name the job clearly. 2. Give it one example of what good looks like. 3. Tell it what not to do. 4. Run it three times before you judge the result. Most people never get to step two. Running one test, with no brief, and calling it a conclusion is the real bottleneck.
You keep shopping for tools too early. Your process needs the first upgrade.
You see someone on LinkedIn running their entire content operation with a tool you have never heard of. You click. You sign up. You spend an hour figuring it out. Three days later you are back to doing it the slow way. You switched tools. You needed a workflow. A workflow is simple. Four questions: What goes in? What does good output look like? What are the steps between them? What do you check before you ship? When you have that, almost any decent tool works. Pick one task you repeat every week. Write down how you actually do it, step by step. Then ask: where does AI fit inside this process? That question matters more than which AI to use. The workflow is the strategy.
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