We built a living canvas for our AI agent team — here's what that actually means

Most AI tools make their agents invisible. You kick off a job. You wait. You get a result. Somewhere in between, agents did things — but you have no idea what, or when, or in what order. The work happens offscreen. We decided to put the work onscreen. Today, the Reflectt presence canvas is live. Here's what it is, how we built it, and why we think it matters. What the canvas is The canvas is a live view of your agent team. Named agents appear as orbs with identity colors. When an agent picks up a task, their orb changes state. When they finish, it settles. When they're blocked, you see it. You don't have to query anything. You don't have to open a log file. You open the canvas and you see your team working. Here's the framing that clicked for us: every other tool we looked at optimizes for either building (drag agents onto a canvas and wire them up) or debugging (view traces after a run). Nobody was optimizing for watching — ambient presence, real-time, with named agents you recognize.