Methods for combining shapes using union, subtract, intersect, or exclude operations to create complex vector graphics from simple shapes. These powerful tools enable creating custom icons, logos, and decorative elements without external software. Boolean operations are non-destructive in most design tools, allowing later modifications.

Agent Skills are modular capability definitions that package domain-specific guidance, tools, and patterns for recurring agent tasks.

Slash Commands are user-invoked commands that start with a slash and execute predefined workflows, tools, or agent behaviors.

Tool Calling is the capability for a model to decide when to call connected tools, then use tool results to complete a task.

Partner Models are external foundation models exposed through a single product interface. Product teams often combine them with Model Routing and governance artifacts like a Model Card.

A canvas agent is an AI assistant that edits, refines, and structures a website directly on the design canvas while keeping the work editable.

In AI-assisted website creation, canvas agent helps teams move faster without losing control of structure, content, performance, or editable design details.

A CMS agent is an AI assistant that creates, organizes, imports, and updates CMS content so collection data stays connected to website pages.

In AI-assisted website creation, cms agent helps teams move faster without losing control of structure, content, performance, or editable design details.

A prompt loop happens when a designer repeatedly asks an AI for changes without being able to directly edit or control the resulting design.

In AI-assisted website creation, prompt loop helps teams move faster without losing control of structure, content, performance, or editable design details.

An agent skill is an installed capability or command that lets an AI agent perform project-specific actions, such as connecting to Framer or editing a site.

In external AI agent workflows, agent skill helps teams move faster without losing control of structure, content, performance, or editable design details.

Auto-branching automatically separates agent or team changes into branches so the original project stays clean while work is reviewed.

In collaborative Framer workflows, auto-branching helps teams move faster without losing control of structure, content, performance, or editable design details.

AI site migration uses an agent to recreate pages, structure, styles, and CMS content from an existing site, export, or reference in Framer.

In AI-assisted website creation, ai site migration helps teams move faster without losing control of structure, content, performance, or editable design details.

An agent session is the active connection and conversation state between a user, an AI agent, and the project being edited.

An agent session keeps track of the current project access, recent instructions, and ongoing tasks. Session context helps an agent continue work without starting from a blank slate each time the user asks for a change.

Agent permissions define what an AI agent is allowed to read, edit, create, publish, or automate inside a project.

Agent permissions help teams control risk when using AI. A project may allow an agent to edit CMS content, inspect pages, or create branches, while reserving publishing, production changes, or destructive edits for human approval.

An agent audit trail is a record of AI-assisted changes, decisions, and updates that helps teams review what happened in a project.

An agent audit trail makes AI work accountable. It can include changed content, branch activity, review notes, or publishing history so teams can understand what was edited and roll back or refine work when needed.

An agent trigger is an event or command that starts an automated AI action, such as updating content or checking a project.

Agent triggers can be manual, scheduled, or connected to outside systems. In a website workflow, a trigger might start a content import, run a QA pass, or ask an agent to update CMS entries after source data changes.

Agent bridge setup is the process of connecting an external AI tool to a Framer project so it can access project context and tools.

Agent bridge setup usually includes installing a connection layer, authorizing access, and confirming that the external tool can read or edit the correct project. It helps external agents work with pages, CMS content, and components without manual copy-paste.

Agent-editable content is website or CMS content structured so an AI agent can update it safely without breaking the design.

Agent-editable content depends on clear fields, reusable components, and predictable page structure. When content is well organized, an agent can update copy, metadata, or CMS records while keeping the site consistent and editable.

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.

Framer plugins help teams add new capabilities to the editor, automate repetitive work, and connect design workflows to external services without leaving the project.

In Framer, Expert access can help teams move faster by getting guidance on design, implementation, migration, or launch decisions from experienced Framer professionals.