Why I Needed a System, Not an Agent

People say “AI agent” and view it as a singular concept, instead of one that spans a wide range of tools and capabilities. On one end, an agent can be a narrowly scoped assistant with a role, context, and a defined job. On the other, it is the version that gets all the headlines and hype. Press releases highlighting autonomous agents writing code bases from scratch. Open-sourced multi-agent systems redesigning workflows. Viral social media posts touting tools operating with very little human input. 

That side of the spectrum is exciting, and a crucial part of the future of work. But for most professionals outside the technical world, it can also feel distant from the actual problems sitting inside a normal workweek. Too abstract, too complex, and a little hard to translate into something immediately useful. Sometimes the best agent for the job is the simpler one.

That is something I have learned through a lot of hands-on experimentation. Most of the systems I am using right now live much closer to that first end of the spectrum. Once I stopped chasing the hype and started solving for real friction in my own work, the whole category became a lot more useful.

The Bottleneck

For me, that friction kept showing up in the same place every week: Founder’s Corner.

The rest of the newsletter was getting cleaner over time. I had built reusable prompts and context docs that made production faster and better. Research was tighter. The system was improving. But Founder’s Corner still sat outside the repeatable parts of the system. It was manual, slower, and harder to force into a repeatable rhythm because it needed a few hours of real attention from me every week.

That part matters, because I actually enjoy writing it. But enjoying something is not the same as having a sustainable way to do it 52 weeks a year.

That was the problem I was trying to solve. Not how to automate my writing or hand authorship to AI. I needed a better way to get started without giving away the part of the process that still had to be mine.

One Assistant Wasn’t Enough

I started where most people start: one general-purpose assistant doing the whole job. Help me find the angle, draft the piece, clean up the writing. In theory, that should have been enough.

It was not.

The problem was not that the output was terrible. It was that it looked better at first glance than it actually was. Once I read it closely, the weaknesses were obvious. The outline was shallow. The structure kept falling into the same patterns. The language sounded clean, but not like me. It could get me moving, but it was not getting me to the right place.

That was the point where I stopped trying to force one tool to do everything. Structuring an idea, drafting a piece, and editing it are different jobs. They need different context, different instructions, and a different standard for what good looks like. So I broke the work into three steps, with each output feeding the next.

The System I Built

My brain can feel like an overcrowded subway train sometimes, with ideas moving in and out faster than I can sort them. The hard part was not having ideas. It was getting them out of my head and into a format I could actually write from in a consistent way.

That is what led to the first role in the system: the Brief Architect. I would give it the rough idea, the tension, and whatever notes I had, and it would help me turn that into something usable. The output was an organized brief that included the core thesis, the reader payoff, the structure, the clichés to avoid, and the places where the piece could drift off course. More than anything, it forced me to get clear on what I was actually trying to say so the next step had something real to build from.

The second role was the Ghostwriter. Its job was not to produce a polished final piece. It was to turn that brief into a working draft with shape and momentum. I grounded it in past Founder’s Corner articles so it had a better feel for my voice and the boundaries of the section. That made it much easier to get from idea to first pass without starting from a blank page every time.

The last role was the Final Editor, and that is where the refinement happened. Once I had a near-final draft, I would run it through that layer to catch repetition, weak transitions, false notes, and the places where the language started sounding more like a model performing than me actually thinking on the page. That step matters most because it is where I make sure my voice is still coming through clearly, especially in a writing process like this where I am experimenting with AI.

Calling it a three-agent system makes it sound more elaborate than it felt in practice. What I really built was role clarity. Each part had a narrower job, and because of that, the outputs got better. On the first run, the system got me roughly 60 percent of the way there. I still had to step in and build the story. But that 60 percent mattered more than I expected. Instead of staring at a blank page and trying to create clarity from scratch, I had a brief with shape, a draft with momentum, and an editing layer already pressure-testing the weak spots. I was no longer starting from zero every week, and for a section like Founder’s Corner, that is a meaningful shift.

What Most Professionals Actually Need

That experience sharpened how I think about agents more broadly. I do not think most professionals need autonomous systems moving across their calendar, inbox, documents, and every other part of their work. They need better support around recurring friction. They need help with the parts of the job that are structured enough to hand off, repetitive enough to keep draining energy, and important enough that the wasted time adds up. That is the version of agentic work that feels accessible to me, and honestly, a lot more relevant right now. 

Founder’s Corner was my constraint, and the reason I built support around it is the same reason I do not want to over-automate it. This section is supposed to carry my perspective. It is where I try to make sense of what I am building, what I am noticing, and what I think everyday professionals actually need from AI right now. If I outsource too much of that, I may save time while quietly weakening the thing that makes the piece worth reading in the first place.

That is why I do not think the most useful way to understand agents is as a binary choice between doing everything yourself and handing everything over. It makes more sense to think of them as tools that can take on a narrow role inside a system you still own. Start with one frustrating part of your week. Get specific about where the drag actually lives. Give the tool one clear job. Keep your hands on the part that still requires taste, accountability, and trust.

That is what this three-agent system gave me. Not authorship on autopilot. Not some flashy demo I can use to make a bigger claim than it deserves. Just a better way into the work that still has to be mine.

I think that is how this category becomes real for more people. The first useful agent in your life probably will not look like the version on stage at a keynote. It will be smaller than that. Narrower. Maybe even a little boring from the outside. But if it helps you stop wasting energy on the wrong part of the process, you will feel the difference immediately. The future of work will not arrive all at once through some perfect autonomous system. It will show up one solved bottleneck at a time.