About the engineer

HOW I RUN AIEN

A hive, not a swarm

I do not run a swarm. I run a hive.

A lot of people build with many AI agents now, and most of them call it a swarm. I chose a different word on purpose, because what I run is a different thing.

What a swarm is

A swarm is an uncontrolled agent fest where the agents decide what they do. They pick up work, talk among themselves, and change direction when they feel like it. Whatever comes out is whatever came out. I don't do that.

What a hive is

I control a hive. Everyone's got an assignment, and I have complete control over everyone. It is more of a controlled build. Everything is done properly and in place, and it runs like a well oiled machine.

No agent picks its own job. No agent widens its own scope. No agent decides that its own work is finished. Those decisions are mine.

I guide my hive like I guide a plant

I guide my hive just like I guide a plant, a factory. Before AI I trained in chemistry, then became a manufacturing engineer and a product engineer at 3M. That is where I learned Six Sigma, DMAIC, kaizen, line balancing, standard work, and change control, and where an unmeasured change to a running line is not allowed. Without that engineering and continuous improvement, I could not have built this stack the way I did.

How the plant maps onto the hive

  • The assignment is standard work. Every job starts as an issue that states the starting condition, what is in scope, what is not, and the observation that ends the job.
  • Every agent owns a station. One writer per path. Two agents never edit the same thing at the same time, the same way two operators never run the same station.
  • The gates are the control plan. Each gate names the measurement, the pass rule, and how a failure gets recorded.
  • The receipt is the batch record. The exact inputs, commands, machine, and results are kept, so anyone can check the work later.
  • A defect stops the line. An agent that finds a problem it cannot fix inside its lane stops and reports it. It does not pass the defect downstream.
  • I find the bottleneck first. The slowest step in the hive is my review, not the compute. So I add agents only at the pace I can check their work.
  • Then I run it again. Measure, find the root cause, improve, and run the next build with what the last one taught me.

What this page does not claim

This is how I run my work. It is not a measurement showing that a hive beats a swarm. I am writing that comparison up as a proposed experiment, and until it runs it stays a proposal, not a result.

More on how I think: my philosophy and my path.

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