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🎯 The Skill That Doesn't Show Up on the Task List
Most conversations about AI and productivity focus on task speed: how much faster can a draft, a report, a piece of research get done. That's a reasonable place to focus, since task speed is visible and easy to measure. You can time it. You can compare before and after. The gains are concrete. But task speed isn't where the real leverage is anymore, for a specific and important reason. When AI compresses task time across the board, the bottleneck in most workflows moves somewhere task speed can't reach: the speed at which decisions get made about what to do next. Decision speed, not task speed, is quietly becoming the more important variable, and it's not showing up on anyone's task list because it was never a task to begin with. ------------- Context ------------- Think about what a typical AI-assisted workflow actually looks like now. A draft that used to take two hours takes fifteen minutes. Research that used to take an afternoon takes twenty minutes. The execution layer of most knowledge work has compressed dramatically. What hasn't compressed at the same rate is the layer above execution: deciding what to work on, evaluating whether a direction is right, choosing between options, determining when something is good enough to move forward. This layer was always there. Before AI, it was partially hidden inside the execution time. Deciding what a report should argue happened, in part, while writing it. Deciding which research direction to pursue happened, in part, while doing the research. The thinking and the doing were intertwined, and the total time included both. Now that doing has compressed dramatically, the thinking that used to be embedded in it has to happen more explicitly and more separately. And for a lot of people, that thinking hasn't gotten any faster. It's the same deliberative process it always was, but it's now a larger proportion of the total time a piece of work takes, and it's often the part that isn't being tracked or improved at all. ------------- The Bottleneck Moved, and Most People Haven't Noticed -------------
🎯 The Skill That Doesn't Show Up on the Task List
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What Success Actually Buys You
Most people think success is about money. It's not. Money is just what buys you options. I've worked hard for decades. Not because I fell in love with the grind, but because I fell in love with what the work could create. Every uncomfortable conversation. Every risk. Every time I wanted to quit but didn't. None of it was just to make more. It was to own my time. To be there for the people I love. To create memories instead of regrets. To have the freedom to say yes to what matters and no to what doesn't. Don't chase success because you want to look successful. Chase it because one day you'll realize time is the only thing you can't earn back. Work hard. Do the uncomfortable things. Become the person capable of creating the life you want. Because real success isn't measured by what you own. It's measured by how fully you get to live. Question for you: If you had complete freedom over your time one year from now, what would you spend more of it doing... and who would you spend it with?
Hey everyone 👋 Quick Question.
Quick question for this group: are you actually using AI to fix your revenue operations, or is it still mostly automating small tasks here and there? Here's what I keep seeing with CEOs and founders — they're excited about AI, they're using it for content, emails, maybe some reporting... but the actual revenue engine (forecasting, pipeline visibility, where deals stall, why some months hit and others miss) is still running on gut feel and spreadsheets. That's the real AI advantage most companies are missing. Not another chatbot — actual systems that give you clarity on your revenue before it becomes a surprise on your board call. I work with CEOs and founders on exactly this through Revenue Operations Advisors — blending AI-driven systems with real revenue operations strategy so you're not guessing anymore. Curious what this group thinks: where are you actually using AI in your revenue process right now, versus where do you wish you were? 👇 Drop your answer below, would love to compare notes
A useful design constraint when building your AI stack: can
A useful design constraint when building your AI stack: can one person manage an entire client relationship, including delivery, without burning out? If you answer that honestly, it forces you to think about what agents and automations you actually need. The answer isn't 'build a giant AI operating system.' It's to look at every recurring task you do for a client, reporting, ad copy generation, campaign monitoring, and ask: could I package this into an agent that runs with minimal oversight? Start by picking one time-consuming process you handle for every client. Build a simple knowledge base (client documents, brand voice, recent call notes) and an agent that uses that to produce first drafts. The key is that one person can still steer, review, and talk to the client, but they're not the bottleneck for production. As you get better, you string multiple agents together, always guided by the one-person premise. This way, you don't overbuild. You build exactly what's needed to keep a single operator effective, and if you scale later, you scale that model, not a bloated team structure. What's the task you'd tackle first if you were redesigning your workflow for a one-person team?
Creator of AstroJeanie
Yesterday as I was downloading Zoom desktop … my computer got hacked by “PC App Store” … and with the help of Claude AI Clone and my Chat GPT AI Clone … and trying various techniques I was making great progress and finally had to resort to having Claude do a deep research on this HACK … just as I got the report … I reached my session limit … … Update, my computer is still being held hostage … but … I sure have had a huge learning opportunity… Tomorrow… I am heading to AZ for AI Live … I am sure there will be trail angels there to assist. I am so excited to be part of AI Mastery … I have a new appreciation for this teaching… it has supported me to remain calm during a very frustrating experience… Thank You Igor and Dean!!!
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Creator of AstroJeanie
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