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🔒 Q&A w/ Nate is happening in 10 hours
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🚀New Video: I Turned GPT-6 Astra Into the Ultimate AI Second Brain
I show you how to turn GPT-6 Astra in Codex into your own AI operating system and second brain, starting with an empty folder. We walk through my four Cs framework, the free skills I use to get set up, and how to connect your tools, build context, and keep improving your system. You'll also see how I organize that knowledge into linked wikis and a 3D brain, plus how I think about choosing a model for everyday work. AIS OS RESOURCE KIT
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🚀New Video: I Tested GPT-6 Astra vs Fable 5.1 on 15 Real Use Cases
I tested GPT-6 Astra against Claude Fable 5.1 across 15 use cases, from presentations and sales copy to browser tasks, video editing, and building software. I walk through both outputs for each test, share which one I preferred, and compare the time and cost. You'll see where each model did better and how I'm deciding which one to use for my day-to-day work.
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🏆 Weekly Wins Recap | August 29 – September 4
From first law-firm clients and $6K + MRR pipelines to outage-proof AI systems and explosive audience growth, this week inside AIS+ showed that real work keeps paying off. 🚀 Standout Wins of the Week inside AIS+ 👉 @Ryan Cunningham turned 2 free case studies into a potential $6K build + $1K MRR pipeline, showing how proving value first can open the door to paid work. 👉 @Glenn Meleder turned a warm reach-out into his first client project, building email triage automation and a local AI Brain for a law firm. 👉 @Harshit Kumar automated a 300-keyword weekly SEO report for a client, eliminating around 6 hours of manual work every single week. 👉 @Tanya Maslach grew from 72 to 20K+ Instagram followers in just 2 weeks, with one post reaching 2.5M views and 350K interactions. 👉 @Mike AI Consultant built his AIOS with enough redundancy that his client work kept running even when major AI providers went down. ⸻ 🎥 Super Win Spotlight | @Bruce Harrison Bruce joined AIS+ with a non-technical background and quickly realized something important: Knowing how to build AI systems wasn’t enough. He also needed to learn how to explain the value, earn trust, and communicate with business owners in language they actually understand. That shift helped him land interviews with Fortune 500 companies and step confidently into higher-level discovery conversations. He even says he gained more practical value from AIS+ than from a certification program that cost him nearly $5,000. His biggest takeaway? Don’t just learn how to build. Learn how to communicate, sell the outcome, and earn the trust to implement it. 🎥 Watch Bruce’s story 👇 ✨ Building the system is only half the game. Inside AI Automation Society Plus, members are learning how to turn those skills into real conversations, clients, and opportunities.
🏆 Weekly Wins Recap | August 29 – September 4
Building AI for markets where "just use the cloud" isn't an option
Most AI automation content assumes you can plug into OpenAI, store data in US servers, and ship fast. That's not the reality for a huge chunk of the world. I build enterprise AI systems in Saudi Arabia — banking, government, healthcare. The constraints are completely different: → Data sovereignty: nothing leaves the country. Period. → Arabic-first: not a translation layer on top of English models — native Arabic reasoning. → GRC baked in from day one: SAMA, NCA, PDPL compliance aren't optional add-ons. → Air-gapped deployments: some clients literally can't touch the public internet. What I've found: the same agent orchestration principles you're learning here apply perfectly — but the stack underneath looks nothing like n8n + OpenAI + Zapier. Curious if anyone else here is building for regulated industries (healthcare, finance, legal) where the default "cloud AI" playbook breaks down. What constraints are you working around? The automation logic is universal. The infrastructure assumptions are not.
The social media automation I built is finally doing the work.
I’ve built a social media automation skill into my AI-OS, 2 months ago and I’ve left it run untouched for the past 6 weeks and now I’m starting to feel the power of it. What it does? I give it my skool where he constantly scraps my videos, edits them with a badge and CTA outro, puts them in a folder of approved videos that has access 24/7 in the cloud. It checks the files for Visual QC and post-worthiness, the rejected ones get put into a folder where it need my attention. then publishes the right version to Instagram, TikTok, Facebook and YouTube with captions made for each platform separately and accordingly to the content of the video so each video gets a different bespoke caption. After that it checks the posts are actually live, saves the links and stats, then moves the video out of the queue and into a new folder so it doesn’t get used twice. It does this 3 times a day for 4 platforms (but I can add more platforms if I need to) It handles scheduling, automated 1st comment on each post, comments, keyword replies (like manychat) and sends DMs with button triggers and links, it also does account health-checks, post analytics & follower tracking. Learns from it and can give suggestions on what worked better visually or what hours are best to post..which comment needs my attention or just replies automatically if I want to. Since switching it on: It posted 392 posts 81.9K views 1.1K interactions +53 followers It’s gathering a huge footprint for my business across multiple platforms and only growing Ps: The accounts where all brand new so 0 audience while Facebook and YouTube having only been introduced 2 weeks ago. So they have been running less posts compared to Instagram and tiktok. Essentially this gets me 360 videos a month posted and I’m soon to introduce a 5th platform Which will take this to 450 posts a month - 90 original videos - 15 posts a day. Still improving bits as I go, but it’s already saved me a unfathomable amount of repetitive work and it’s compounding as we speak.
The social media automation I built is finally doing the work.
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