I'm Not Using AI To Work Faster. I'm Using It To Be In Five Places At Once.

I was sitting at my desk mid-morning, coffee going cold, staring at a list of 15 topics on my screen. Suggestion: "How you approach sprint planning differently from standard Agile." Suggestion: "Your criteria for evaluating business acquisitions." Suggestion: "How you structure governance without bloat."

My jaw tightened. Not because they were wrong - because they were right. Eight of them were immediately recognisable as core to how I work. The exact frameworks I use that are different from how generic AI works. That's when I realised this isn't just a tool anymore. It's become my business and my ways of working, but amplified.

Most people are defending against AI. They're worried about replacement, about redundancy, about losing relevance. I flipped it. I'm building an agentic version of myself - and it's already changing what I can do.

What An Agentic Version Actually Means

I'm not talking about a chatbot with my name on it. I'm building what I call AI Marcus - an AI system I've trained on my frameworks, my writing, and my decision-making processes. It learns from every blog I write, every process I refine, every decision I document. When I feed it a problem, it doesn't give me generic AI advice - it gives me my approach, scaled.

I'd been feeding it my frameworks for weeks. Then I hit a wall: what was I missing? So I asked AI Marcus to analyse its own knowledge base and tell me. It came back with 15 topics. Eight of them landed immediately. The hit rate wasn't 10% like when I ask ChatGPT for blog ideas. It was 53%. Because it wasn't guessing what might work for a generic audience - it was identifying gaps in my system.

That recognition - seeing my own taste reflected back - told me I'd crossed a threshold. I trust it enough now to hand over more.

Here's What It Actually Looks Like In Practice

I fed AI Marcus my personal quarterly goals recently. Not a neat, polished version - the real ones, rough and ambitious.

It didn't give me a schedule. It didn't give me an inspirational reframe. It broke them down into the core priorities that would actually make a difference, told me which ones to treat as non-negotiables versus nice-to-haves given everything else on my plate, and gave me specific, tangible suggestions for how to make each one happen - not in theory, but in the context of how I actually work.

That's the difference between generic AI and an AI that knows your system. It's not motivational. It's operational.

How I Built It