A group of user interactions with a website occurring within a time frame, typically resetting after 30 minutes of inactivity. Sessions provide context for analyzing user behavior patterns and conversion paths. Track session-based metrics to understand how users engage over visits.

Subagents are narrowly scoped AI assistants that can be invoked by a primary agent to perform specific subtasks more efficiently.

Automations are recurring or event-based executions that let AI agents perform routine work automatically under predefined instructions.

Agent Memory is persisted context that allows an AI agent to remember preferences, facts, and workflow state across sessions.

A C2PA Manifest Store is the packaging location for one or more provenance manifests and assertions. It helps preserve a verifiable chain between a C2PA Manifest and Tamper-Evident Metadata.

Agent context is the project information, user intent, constraints, and prior conversation an AI agent uses to make accurate changes.

Agent context helps an AI system understand what it is editing and why. Strong context can include the selected page, existing CMS structure, current design patterns, and instructions from the user, which reduces generic or mismatched output.

Conversational editing is the process of changing a website through natural-language feedback instead of direct manual edits alone.

Conversational editing lets a user describe what should change and have an agent update the project. It works best when each request names the target clearly and the agent keeps the result editable for follow-up refinements.