What it’s about
I build several projects with AI agents. Whatever a run decided, built or left open sits somewhere in a chat log afterwards. And when an agent hits a question that I really ought to answer, all it can do is guess or wait.
The Kanban board turns the direction around. Here no human enters what machines should work through; the agents write it themselves, and a human signs off. The bridge to Claude is a plugin from the repository itself: a skill with the working rules and an MCP connection with twenty-two tools in four groups, for projects, cards, ideas and notes. The first call of every run collects the answers. An agent leaves a question, I answer on my phone on the way somewhere, the next run reads the answer, acknowledges it and carries on.
The watcher takes this one step further: a loop polls the board at intervals and wakes the session as soon as an answer is in. Leave the machine running, answer from wherever you are, and the run gets going. As long as nothing happens, it costs nothing, no model is running. And every project sheet keeps a list called “What is settled” that agents may add to but never change: a decision stays readable even if it later turns out to be wrong.
