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🚀New Video: I Turned Claude Opus 4.8 Into My Entire AI Operating System
In this video I show you how I turned Claude Opus 4.8 into my full AI operating system that runs my businesses, holds all my context, and replaces the constant tab switching between apps. I walk through the Four C's I use to build it (context, connections, capabilities, cadence), the mindset shift of working out of Claude Code by default, how I organize files and skills, and the bike method for safely giving agents more autonomy. By the end you'll know exactly how to set up your own AI OS and the trap to avoid when you start handing it real keys. GITHUB REPO
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18h •
"AI consultant" is one of the hottest titles in business right now.
But it also has an expiration date. Right now, sticking "AI" in front of "consultant" is a real edge. The search demand is there. The budgets are there. Companies are actively hunting for someone who can walk in, look at their operations, and tell them what to actually do with this stuff. So if you're trying to position yourself, take the label. It works. But the label is the temporary part and we've seen this cycle before. → When Excel showed up, people might've called themselves "Excel accountants." But how ridiculous would it be if someone introduced themselves like that today? → When the internet showed up, people spun up "internet marketing" agencies. Now that's just marketing. AI is doing the same thing to consulting because AI is going to seep into everything. In a few years, the qualifier drops. The consultants who aren't AI native won't be winning business. They'll just be bad consultants. The job under the hood doesn't change. A consultant walks into a business, finds the actual constraint, and prescribes a solution. The newest tech is the toolbox, not the job description. But people take the "AI consultant" title and assume the answer always has to be AI. Sometimes the right call is a database restructure. Sometimes it's a better SaaS tool. Sometimes it's a deterministic workflow with zero AI in it. I'm not saying AI is never the answer. It's the highest-impact tool we've had in a long time. But forcing it where it doesn't belong is how clients lose trust fast. I think about it as a pyramid. → Bottom: deterministic workflows. No AI. Cheap, fast, reliable. → Middle: AI workflows. More power, more cost, more failure modes. → Top: AI agents. Maximum capability, maximum risk, longest time to ship. The higher you climb, the more it costs, the longer it takes, and the more ways it breaks. More risk. Start at the bottom. Only move up when the problem actually demands it. The label "AI consultant" gets you in the door right now. The discipline of solving the real problem with the simplest possible solution is what keeps you there once everyone else catches up.
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3d •
🏆 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
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Codex over Claude code
I’ve noticed many influencers on Twitter posting informative tweets almost every hour, and they seem to be performing really well. I’m building an AI news aggregator that collects the best AI news of the hour and shares it with me. It also scores each news item out of 10. Any news item that scores above 8 will be synthesized into a tweet draft on my behalf. All tweet drafts will follow a specific format inspired by the best Twitter profiles I’ve studied and collected. I'm building this using Codex and not Claude code. I’ve been trying to create my own AI-powered news and content workflow. The goal is simple: I want a system that tracks important AI updates, understands which ones actually matter, and helps me turn them into high-quality X posts that I can review before publishing. Right now, the system does a few things: - Tracks AI updates from official sources like OpenAI, Anthropic, Google, NVIDIA, Hugging Face, etc. - Stores everything in a database - Deduplicates similar news items - Scores each update based on importance, novelty, audience interest, and practical impact - Uses my Notion “second brain” to understand my voice and tweet style - Generates draft X posts - Sends drafts to Telegram - Lets me approve or reject them manually The part I’m most excited about is the second brain layer. I’m building a Notion workspace where I store: - tweet examples I like - Twitter profiles I want to learn from - AI news sources I want to track - my voice profile - content rules - approved and rejected drafts - The idea is that instead of asking AI to write generic content, I’m slowly teaching it my taste. So the workflow becomes: AI news comes in → system ranks it → AI writes in my style → I approve from Telegram → later it can be published. I’m not trying to make a fully autonomous posting bot. I want a human-in-the-loop system where AI does the heavy lifting, but I still make the final call. This has been a really interesting learning process because I’m not a software engineer. I’m learning how systems are built step by step: databases, workflows, APIs, n8n, Notion, Telegram bots, prompts, and automation.
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3d •
Syncing global skills across PCs/laptops?
When I make global skills or automations, cron jobs, is there a way to share them across different PCs and laptops that I work on? I can keep my projects synced up through GitHub, but global skills and cron jobs exist deep within the claud folder structure on a particular PC, so they don't get synced across different PCs and laptops that I work on. Anyone else have this problem or an idea for a solution?
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