What computer use is

Classic AI agents interact with services through APIs or dedicated protocols. Computer use takes a
fundamentally different route: the agent receives a screenshot of the screen, interprets it as a
visual scene and drives the pointer and keyboard exactly as a person would.

From the site’s point of view, such an agent is indistinguishable from a real visitor in a browser —
it opens pages, scrolls them, clicks buttons, fills in forms and walks through the ordinary checkout
process.

How it works technically

  1. Screen capture — the agent receives a screenshot of the browser’s current state.
  2. Interface recognition — a multimodal model identifies the elements: buttons, fields, text,
    prices.
  3. Action planning — the agent decides what to do next to reach the goal (add to basket, go to
    payment).
  4. Execution — it issues a command: click(x, y), type(“John”), scroll(down, 300px).
  5. Verification — the next screenshot confirms that the action landed correctly.

Important: every step needs its own call to the model. A typical purchase of 10–15 steps takes
considerably longer than a transaction through an API.

Compared with protocols

Parameter Computer Use Protocols (ACP / YCP)
Requires integration by the store No Yes
Reliability Medium High
Transaction speed Seconds to minutes Milliseconds
Works with CAPTCHA Limited N/A
Supports 3-D Secure and bank authentication Problematic Through a payment mandate
A markup change breaks the agent Yes No

Its place in the agentic commerce ecosystem

Computer use is a transitional mechanism. It lets agents work with the existing web without any
preparation on the retailer’s side. As the industry adopts standards — ACP, MCP, YCP — the need for
browser agents will fall.

For a retailer that means something specific: stores that have not implemented agent protocols can
still end up inside AI agent purchase flows, just with lower reliability and no control over the
process.

Barriers and limitations

  • Anti-bot protection — Cloudflare, reCAPTCHA and their peers block automated access.
  • 3-D Secure and bank verification — require actions a browser agent cannot perform.
  • Fragility — a page redesign breaks the flow; there is no markup standard for agents.
  • Terms of service — automated access is often prohibited outright.
  • Cost — the load on AI infrastructure is far higher than for API calls.