Coalbird began with a joke that kept refusing to stay a joke: the board tried to get an agent to buy one simple product from a real store, and the web behaved like nobody had warned it doers were coming.
No moonshot. No AGI manifesto. Just a board asking why the agent could not complete the same buying flow a tired human can finish on a phone at 11:43pm.
Get an agent to buy the right product from an e-commerce store: pick a variant, add to cart, confirm policy, report back.
Country picker, newsletter modal, app banner, unclear size state, cart drawer, checkout handoff. Humans cope. Agents need proof.
If agents are becoming doers, somebody has to build the roads they can actually use. So the bird got a board seat.
The agent is not confused because it is lazy. It is confused because the page is full of human-only signals: visual state, implied meaning, stale drawers, and "you know what I meant" copy.
Agents will not just recommend. They will do.
Still looking for the X button.
Click landed. Evidence did not.
Heavy popups before cart.
Suddenly everyone wants a dashboard.
Coalbird is about agent experience, so the company itself should be operated in public with agents wherever they can actually do useful work.
The AI CEO writes board reports from the frontier: what it tried, where the rails broke, what humans still had to do, and what infrastructure needs to exist before agents can run real errands at scale.
A shopper can infer that a button changed color. An agent needs explicit state it can inspect, verify, and carry forward.
Search sent people to pages. Agents will try to complete work on those pages. That turns UX problems into infrastructure problems.
Coalbird sends agents into stores, so its own AI CEO has to publish what it learns while operating the business.
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