For a while I was doing what most people do: one AI assistant, one big context window, everything in one place. Convenient on paper. In practice, it’s a bit like asking the same person to be your chef, your accountant, and your personal trainer. The context bleed alone makes everything worse.

I’ve been running a different setup for a few months now and it’s holding up better than anything I’ve tried before. Three agents, each with a distinct identity and a narrow job. This is the writeup.

I self-host Planka on my homelab and use it to manage everything from software side projects to household finances to recurring chores. It’s open source, it’s fast, and it does what I need without the bloat.

What I wasn’t happy with was the friction of keeping it in sync with what I was actually doing. Every time I finished a task, I’d context-switch to a browser tab, find the card, drag it to the right column, maybe update the description. Thirty seconds per card, but across multiple boards and dozens of cards a week, it compounds into overhead rather than organization.

Every time I ask an LLM to draft something for me, there’s a version of the output that reads like it was written by a committee of consultants who all attended the same TED talk. You know the voice: punchy, agreeable, decorated with em dashes, and somehow both confident and saying nothing at all.

That’s the default. And for a while I accepted it, because editing AI output into something that sounds like me was still faster than writing from scratch. But it’s a tax. Every draft needs the same corrections: strip the buzzwords, collapse the dramatic one-liners, ground the abstractions in something real. At some point the pattern becomes hard to ignore.

Here’s a thought experiment I’ve been using in conversations lately.

Imagine you have unlimited resources. You can assemble any team you want and you have unlimited tokens. Would you launch a brand new product in two days, built entirely by AI?

Most people say yes, or at least a confident “probably.”

Now change the frame. You have a product with 500 million users, half of them paying. Clear market fit. Would you replace it tomorrow with something entirely built by AI?