Buyer Guides

Choosing an AI work platform means evaluating more than model access or a polished demo. This section examines whether a product can carry a complete job from context and execution through review, delivery and reuse. The guides cover the questions teams should ask about ownership, permissions, audit trails, collaboration, deployment boundaries and the cost of keeping work understandable over time. They are written for buyers comparing desktop agents, browser tools and broader AI workspaces, especially when several people need to inspect what happened and continue the work later. Use these articles to turn product claims into practical evaluation criteria, identify where a workflow may break after the demo and decide which capabilities matter for the work your team actually delivers. Each guide favors observable behavior over feature checklists: what an agent can access, when a person can intervene, where decisions remain visible and whether the final artifact can move into the next stage of work without losing its history.