A Workflow Engine That Coordinates Work and Makes It Visible

"The future belongs to artificial intelligence." Ke Jie said this around his 2017 AlphaGo match. He was the world’s top-ranked Go player, and AlphaGo still swept the series 3-0 (games on May 23, May 25, and May 27, 2017), with Ke Jie visibly emotional after the final game. That story matters to me because I think one day AI may be much closer to solving software development than we ever expected. For a long time, top-level Go was treated as an especially hard frontier where human intuition would dominate for much longer. Then, suddenly, the gap closed fast. I want to treat software development with the same humility and learn from what the systems actually do, not from old assumptions. That is why this post is about workflow design and visibility. When people talk about agent workflows, they usually mean one thing: moving tasks from one stage to the next. In Project Brain, we are building the workflow engine around two goals at the same time: coordinate work reliably, and make agent be