What Personal Agents Do
A personal AI agent operates with access to a user's tools and data: email inbox, calendar, file storage, notes, browser history, and connected services. It can prepare briefings for upcoming meetings, draft replies based on the user's tone and past communications, locate documents relevant to a current project, and flag tasks that have not been addressed. Unlike a general assistant that responds to individual queries, a personal agent can take initiative within whatever scope the user has authorized—identifying what needs attention and acting without waiting for an explicit prompt. The degree of autonomy, and which actions require confirmation, is configured by the user.
Permission Design and Privacy
Personal agents require broad access to sensitive personal and professional data, which creates significant trust and permission design requirements. Users must specify which data sources the agent can read, which actions it can take without confirmation, and which actions always require explicit approval before execution. Sending an email on behalf of the user, deleting files, or modifying calendar events are examples of actions that users typically want to approve individually rather than delegate fully. Data residency—where the agent's reasoning and memory are processed and stored—is a relevant concern for users with confidentiality requirements. Audit logs of agent actions allow users to review what the agent did and correct any errors.