Out of more than 450,000 global members, it is a privilege to have been selected to speak about the AI OS I built—one that now runs several aspects of my own consulting agency—at the AIS Live Virtual Event this weekend (detail and link below). Join The Event Online Oct 17, 8:00AM - Oct 18, 8:00PM CDT Just 18 months ago, I began pursuing AI full time with my new agency, AI & Data Strategies. Armed with sheer curiosity and determination, I started building my AI skills and dove in headfirst to learn how to build advanced AI and automation solutions through AI Automation Society on Skool. Fast-forward to today: I have been able to combine more than 30 years of enterprise experience with AI technology. Through AI & Data Strategies, we are helping dozens of medium and large companies transform their businesses with AI. At the event, I will share how an AI OS has changed the way I operate my business, create capacity, and deliver for clients—and what that journey has looked like from learning the basics to applying AI in the real world. If you are interested in learning about AI to start a small agency or advance at work, this event can open up a new future for you. Join The Event Online Oct 17, 8:00AM - Oct 18, 8:00PM CDT https://events.ringcentral.com/events/ais-live-superhuman-build-your-ai-os/registration My Website: https://aidatastrategiesllc.com AI Bits & Pieces: https://www.skool.com/ai-bits-and-pieces/about

Well done @Matthew Sutherland! You have achieved Level 6, your role is growing from active participant to community contributor - and that gets recognized. Fun fact, @Matthew Sutherland is the highest ranking member in the community! 🚀 Every post, answer, and experience you shared added something to this community. Your progress matters, but so does the role you’ve played in helping other members make progress of their own. 🔓 Here’s what you’ve Unlocked: AI Bits & Pieces is donating $25 in your name to Winning Futures. @Kristina Marshall is the president of this wonderful non-profit, and every little bit helps. Click here to learn more about this exceptional student mentoring organization. @Matthew Sutherland is the founder of AI for Life Skool community. A great community to join if you are looking to improved and excel at Claude Code. Thank you for all you do @Matthew Sutherland. @Karen Widas @Kierra Woekel @Ron Nedd @Pedro Gomez @Mike AI Consultant @Mike Thomson@Frank Priboy @Gina Wang

So, was it perfect? Nope. Did I miss anything critical? Two emails. Fortunately, one person texted me, and the other email my wife asked if I saw it - so, there was no major negative impact. But that is exactly why I am doing this experiment. I do not want to know if AI can manage my inbox when everything goes perfectly. I want to know where the cracks show up when I am not looking every day. Here is what I learned after the first 72-hour cycle. 📝 Lesson one: the first cycle had a built-in advantage. Because I was already familiar with the current state of my inbox, I knew what I expected to see. I had a mental map of open conversations, active deals, pending follow-ups, and emails that might matter. That made the first review easier, but that advantage starts to disappear in the next cycle or two. Once I stop carrying the recent inbox context in my own head, the system has to stand on its own. That is when the real test begins. 📝 Lesson two: prompts matter. 📝 Lesson three: prompts matter even more. Yes, this experiment is quickly becoming a lesson in prompt design. Even though I did not open my inbox during the 72-hour window, I did adjust the prompts based on what I expected to come in and what was getting through that should not have been. - Some spam and promotions still surfaced. - Some categories needed tighter language. - Some escalation rules needed more clarity. That does not mean the system failed. It means the operating instructions needed refinement. And that is probably the biggest early takeaway. AI inbox management is not a set-it-and-forget-it system. At least not yet. It is more like training an operations assistant. You give it a role. You define the boundaries. You observe the misses. You tighten the rules. Then you run the next cycle. 📝 Final lesson: redundancy matters. At this stage, built-in redundancy has real benefits. For this experiment, I used three AI layers: - Claude Cowork - ChatGPT Scheduler - Gmail AI Inbox

One thesis keeps forming in my head as I reflect on the lessons learned from AI Week: The more AI becomes enterprise infrastructure, the more organizations will be pressured to capture the full context of work. That may unlock enormous operational value, but it also challenges the psychological contract between employer and employee in ways we have barely begun to discuss. It is not that this thought was completely new to me. But after a week of pure AI focus and reflection, I can feel my business experience starting to connect the dots: - Operationalizing AI at enterprise scale will fundamentally reshape the human experience of work itself. - AI is no longer being discussed as an experiment sitting on the edge of the business. - It is increasingly being treated as core operational infrastructure. And once AI becomes infrastructure, the enterprise requirement for context changes everything. Because AI infrastructure requires context. And context at AI scale increasingly means visibility:recording, transcribing, indexing, analyzing, monitoring, and retaining enormous amounts of organizational activity. Meetings. Messages. Decisions. Workflows. Behaviors. Patterns. The industry talks constantly about: AI agents digital workers hybrid workforces governance oversight performance metrics drift management But underneath all of those conversations is an uncomfortable operational reality: AI systems are fundamentally context engines. The more organizational context they can access, the more operationally valuable they become. More context improves intelligence. More intelligence improves coordination. More coordination improves automation. More automation improves operational efficiency and reliability. The logic is straightforward. Yet there is another side of this equation that feels far less discussed. The challenge is not just technical. It is the psychological contract that exists beyond laws, compliance frameworks, policies, and corporate best practices between employers and employees.

I’ve been a little quiet here the past few days for a very good reason. I was away watching my daughter graduate from college as a nurse and helping her pack up for the next stage of life. Proud girl dad moment, for sure. The good news is she already has a job lined up and is excited for what comes next. It is one of those moments where you realize how fast time moves, how much work goes into raising kids, and how rewarding it is to see them step into their own future. Back in the mix now and catching up. Grateful for this community, and also grateful for a few days focused on family.