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🔒 Q&A w/ Nate is happening in 6 days
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I'm hosting a new event about making money with AI automation
Here's why you should attend: Over two days at AIS Live, every speaker is someone actively earning from AI services, and they show their actual work. The real projects they sell, how they get clients, the numbers behind it. It just opened to the public, and right now you can save $50. But only through Sunday: -> Go here for details: https://app.aiautomationsociety.ai/ais-live/register/
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🚀New Video: 100 Years of Artificial Intelligence Explained
This one's a little different, but I had fun putting it together. I hope you guys find it interesting! 100 Years of Artificial Intelligence Explained, and it starts with a 26-year-old building something in his parents' bedroom and a code that took an entire war to crack. I walk through the whole timeline: the two winters that nearly killed the field, the approach everyone wrote off as a dead end, and the single move that made a world champion walk away. This is 100 Years of Artificial Intelligence Explained, and honestly we're just getting started.
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🏆 Weekly Wins Recap | May 23 – May 29
From $64K+ in closed deals to first paid projects, first workflows, and first technical builds - this week inside AIS+ showed what happens when builders stop consuming and start moving. Some wins were big money. Some were first steps. Both matter. 🚀 Standout Wins of the Week inside AIS+ 👉 @Jacob West closed two deals in one week — a $22.5K custom software build for a local gym and a $42K AI OS rollout for a mid-market energy business. 👉 @Luca Giovinazzo delivered his first full client project live — 11 n8n workflows, CRM, Telegram bot, inventory alerts, booking system, KPI tracking, user guide, and Loom walkthrough. 👉 @Fadwa Naboulssi landed her first client three weeks into the community — a candidate sourcing workflow on a $150-per-successful-hire commission. 👉 @George Maitland completed his first technical build using Claude Code + n8n MCP — a local content engine with Telegram as the command center. 👉 @James O Neill built a free portfolio site for a friend-of-a-friend’s side hustle… and she insisted on paying anyway. First real money landed. ⸻ 🎥 Super Win Spotlight | @Josh Holladay Josh joined AIS+ because he wanted more than scattered learning. He wanted momentum. Focused content. Better access. And a room full of people actually moving. Since joining, he has: - Closed real client work - Built stronger confidence around pricing and value - Used the portfolio course to get clear on where he was and what needed to happen next - Learned how to turn client conversations into real business opportunities - Found a place to celebrate wins with people who actually understand the journey
🏆 Weekly Wins Recap | May 23 – May 29
How to use Perplexity search on claude code
Hi i wanted to know if anyone knew how to use my Perplexity subscription for websearch in claude code? Has anyone tried?
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How to Build a GTD Agent — Whether in ChatGPT Workspace Agents or Claude Code
My first GTD agents were not very good. Actually, from a GTD (Getting Things Done) workflow perspective, some of them were doing complete nonsense. I had already framed them carefully. I was using my usual Prompt Constitution / Playbook approach: clear role, clear mission, operating rules, tool boundaries, expected outputs, validation steps. And still, the agent started doing things that looked productive on the surface but were absolutely wrong from a GTD perspective. The worst example was my calendar. The agent was processing Outlook emails and, whenever it detected something that looked remotely time-related, it started creating calendar events. Not real meetings. Pseudo-meetings. Sometimes partially renamed from the email subject line. Sometimes duplicated several times. And if the AI found open space in my calendar, it seemed happy to fill it. From the outside, this looked like automation. From a GTD perspective, it was a system failure. Because an email that mentions a date is not automatically a calendar item. An email that requires a response is not automatically a task. An email that refers to a project is not automatically a project. And an AI agent that can access your tools but does not understand your GTD decision model is not an assistant. It is a very fast source of trusted-system pollution. That was the turning point for me. I realized that building a useful GTD agent does not start with choosing the best model. It starts with defining the exact workflow the agent is allowed to execute. - Not the dream workflow. - Not “AI handles my inbox.” - Not “AI creates tasks from emails.” The real question is: What GTD decision model should the agent follow? For example, if the agent is helping process an Outlook inbox, its mission should not be: “Read my emails and create tasks.” That is far too vague. The mission should be: Turn each incoming email into a reliable GTD decision. That changes everything. Because in GTD, an email can become many different things:
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