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AIS Live - Oct 17 & 18 is happening in 4 days
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🚀New Video: I Tested the Viral Reverse Engineer Anything Skill. What You Need to Know.
I tested Reverse Engineer Anything (REA) with Claude Code to see how it could help me rebuild features from existing apps, including my own Loom-inspired screen recorder. I break down how it works, a five-step process for using it, and the limitations I ran into. The same approach can help you build better AI skills and workflows by giving your agent clear examples of the output you want.
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What do you think of our new logo?
AIS started as a community about automation. It’s now 450,000+ people all over the world learning AI together, and the old logo didn’t fit that anymore. The globe stands for what we’re building: the largest network of AI professionals, and a place where anyone can find where they fit in AI, whatever their background. Watch the reveal below and tell me what you think in the comments. Welcome to the new era of AIS.
What do you think of our new logo?
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What do you get if you upgrade to AIS+?
Some of you have never heard of the AIS+ community. Others have but the part that trips you up is the actual difference between the two. Either way, this post will give you clarity. This free group is a bundle of quick resources pulled from my YouTube videos, plus a massive open community that anyone can join. It's a great place to get your bearings and see what's possible. But it's open to everyone, it can be noisy and overwhelming, and there's no path through it. You can get help from other members, but I rarely answer questions here. AIS+ is the opposite: - A step by step roadmap with a clear order, so you're never guessing what to do next - A much smaller community of people who are seriously committed to building and selling AI agents - I answer questions every day and run a weekly Q&A call where you can get direct access to me For the course material: The roadmap takes you from zero to building and selling AI agents, and the whole thing is built on the latest tech like Claude Code and Codex. We update it constantly. The old n8n material has been archived. It's still there if you want it, but it's no longer the focus, because the way you build today has moved on and the courses moved with it. Here's the actual roadmap inside, in order, with when each piece opens up: 1. Start Here (opens the moment you join). Gets you oriented. How the community works, the path ahead, and how to get help when you need it. 2. Build Your Portfolio (opens the moment you join). Why a portfolio matters, beginner level tutorials, and what types of projects to focus on. You end up with real work you can show a client. 3. Claude Code (opens the moment you join). This is now its own dedicated course. Build faster, turn ideas into working automations, and go deep on the tool serious builders are using right now. This takes you from beginner to advanced, step-by-step. 4. Get Your First Clients (opens after 30 days). Getting your first clients is hard, because you don’t have any case studies yet. So, we analyzed all of the success stories from our members and found they get their initial clients with two different techniques: warm outreach and Upwork. So, we teach both techniques in detail with exactly what to say, exactly how to position yourself when you have no proof.
Glen here, learning when a useful draft has enough information
I’m learning practical AI and working on written lessons that become video. Nigel’s discussion about deciding when to investigate further connects with a question I’ve got. If I’m drafting a lesson, some missing information changes the explanation. Other details might only make the draft longer. I want to get better at telling those apart before adding another research task. How do you define a stopping point for a drafting workflow? What question tells you it needs one more source, rather than one more round of polishing?
Meet Keeper, our little AI security guy.
Hi everyone, this little guy is Keeper. I spend a lot of time in AI communities and talking to teams that are bringing AI into their companies. And honestly, some of the situations people run into are pretty interesting. Someone connects ChatGPT or Claude to company files, only to discover later that the AI can access a lot more than it should. So we decided to turn these real situations into short daily videos with Keeper. Each one starts with a real question, what someone tried, what went wrong, and what we'd do differently. No names, no photos. Just real stories and lessons from people actually using AI. We're sharing one every day on Instagram: Vaultguard Full disclosure, Keeper is also the mascot of VaultGuard, a secure knowledge base we're building for teams. But the videos aren't ads for it. We just want to share the lessons we come across. And if you've got an interesting AI situation you'd like us to cover, drop it in the comments. Maybe Keeper will feature it next!
Meet Keeper, our little AI security guy.
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