User
Write something
AIS Live - July 11 & 12 is happening in 27 hours
Pinned
🏆 Weekly Wins Recap | June 27 – July 3
From $40K AI projects and first clients to custom CRMs, AI operating systems, and production-ready automations, another week inside AIS+ proved that consistent building keeps creating opportunities. 🚀 Standout Wins of the Week inside AIS+ 👉 @Kobe Shemesh closed a $40K upfront AI project after refining his Claude Code workflow, proving that small improvements in execution can create massive business results. 👉 @Galyn Fergerson landed her first client just 6 days into AIS+, turning a discovery call into a $750 AI OS project before even finishing the automation course. 👉 @Girish Mohan built an AI Scrum Master that now prioritizes his calendar, tasks, and deals automatically—helping him execute every day with more focus. 👉 William Rendall was promoted to AI Workstream Strategy Lead less than three months after joining AIS+, crediting the community for accelerating his growth. 👉 Diane McCracken celebrated her 100th Claude Code session at 68 years old, showing that curiosity and consistency matter far more than experience. ⸻ 🎥 Super Win Spotlight | @Ahmad Abd Alkarim Ahmad joined AIS+ with years of leadership experience but wanted a better way to turn ideas into action. Today, his custom AI Operating System helps him manage projects, analyze business problems, and support his team without slowing anyone down. His biggest lesson? Don't just watch. Build. Practice. Share what you learn. That's where the real return comes from. 🎥 Watch Ahmad's story 👇 ✨ Every week, members are turning ideas into systems, skills into businesses, and momentum into real opportunities. Step inside AI Automation Society Plus and start building assets, systems, and skills that compound 🚀
🏆 Weekly Wins Recap | June 27 – July 3
Pinned
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.
Pinned
🎉LIMITED TIME try Glaido FREE, then 40% off.
I'm a co-founder of Glaido, building it with Jack Roberts, Dave Ebbelaar, and Jannis Moore. It's a voice tool built around two things: speed and privacy. Fastest on the market, completely private. It used to be Mac only. It's now on Windows too, so all of you can use it. You get 40% off your first 3 months ($20/mo → $12/mo) with this code: D5J6BIF8K4P Next 30 days only 👉 https://get.glaido.com/nate I switched from Wispr Flow a few months ago and it just felt better. If you're on Wispr, try Glaido free, use the code, and tell me if you feel the difference. If you want to switch back after, no hard feelings. Good to know - Mac + Windows - Snippets: insert any text instantly with one word - Dictionary: save your own words, import straight from Wispr Flow - Agentic Mode: manipulate any text on your screen with your voice - Webhooks coming to Agentic Mode soon (huge) - We action feedback almost immediately Give it a shot and drop your thoughts in the community.
🎉LIMITED TIME try Glaido FREE, then 40% off.
Everyone is racing to build AI agents.
But I think the harder challenge is building trust. An agent can generate content, write code, or answer questions. But if people still feel the need to double check everything it does, the productivity gains are limited. What do you think will matter more over the next 2–3 years? 𝗕𝗲𝘁𝘁𝗲𝗿 𝗺𝗼𝗱𝗲𝗹𝘀 𝗼𝗿 𝗺𝗼𝗿𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀?
The old automation vs AI automation
A few days ago, I read an article on automation from a hardware perspective and found it very interesting, as the hardware industry has already developed a roadmap for it. On the pyramid's first level, we have sensors and actuators; from an AI automation perspective, these are the connections to MCP servers, WebSocket or server action endpoints, and any other connections we create from the automation to the outer world. That is the eyes, ears, and hands of the system we create. On top of the eyes and hands, we have what is called the "control level"; this level is where the automation logic resides, meaning that at the control level we decide what we do with the data we collect and what actions we execute programmatically. The next level, the supervision level, serves as the interface between automation and humans, enabling process control and oversight. N8n covers this layer partially; it provides logs (a record of what is done, the actor, and when it was done) and real-time control that allows a human to stop the entire flow. But if a client's automations fail and nobody finds out until something breaks downstream, you're really still living at the Control level with a false sense of supervision. To change that, you need to deliver monitoring, alerting, and execution dashboards, as well as human-review interfaces. On top of it, we have the management level. From here, a human can understand the automation's flow and, crucially, the status and flow of the business (reports, KPIs, etc.), so decisions can be made based on the data provided and processes improved, either within the automation itself or through improvement points it surfaces. Finally, we have enterprise-level; here, an automation should be plugged directly into the business ERP (e.g., Power BI), instead of living on an independent system. Once this level is reached, the automation stops being a paid service and becomes a business level. The jump from level 2 or 3 to level 4 is mostly a reporting/analytics build-out. The jump from level 4 to level 5 is more of a positioning shift, becoming embedded in how the client thinks about their business, not just a vendor running their workflows.
The old automation vs AI automation
1-30 of 21,217
AI Automation Society
skool.com/ai-automation-society
Learn to get paid for AI solutions, regardless of your background.
Leaderboard (30-day)
Powered by