For computer-use agents, reliability has less to do with clicking the right coordinates every time and more to do with understanding what the user actually wants. In this AI on Air clip, excerpted from a recent episode on the Latent Space Podcast @latentspacepod show, the speaker is Danielle Perszyk, a researcher at Amazon AGI Lab @amazon. ▷ Two years ago the plan was to meet the models where they were: get atomic interactions like clicking and scrolling reliable, then let developers string them into workflows for repetitive tasks, which was a big unlock at the time. ▷ Hitting the right button and screen coordinates may be close to solved, but that is not what reliability is. When booking travel, choosing a layover or a direct flight changes how you think, and the goal itself unfolds and gets refined as you interact with the computer. ▷ What separates a capable executive assistant from an AI agent is that the assistant models the user's mind, decomposing not just the task but preferences and intentions. Reliability is ultimately about modeling the user's mind, and that shift reframes what it is we are building.