The process of importing comma-separated values data into a cmsCMS collection. CSV import speeds up bulk content creation and migration from spreadsheets or external systems.

A C2PA Manifest is the signed data structure used to encode provenance assertions for digital media. It underpins Content Credentials and can be stored in a C2PA Manifest Store.

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.

An external agent is an AI tool outside Framer that connects to a project to inspect, update, or automate site work through an agent bridge.

In external AI agent workflows, external 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 handoff is the transfer of context, files, or tasks from one AI agent to another so work can continue without losing project intent.

An agent handoff keeps a workflow moving when a task needs a different tool, model, or specialist. In Framer, this can mean passing site context from a design-focused agent to a coding or CMS-focused agent while preserving the user’s goals and constraints.

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.

An agent workflow is a sequence of AI-assisted steps for planning, editing, reviewing, and shipping work in a digital project.

An agent workflow breaks complex website work into smaller actions such as scanning pages, updating CMS items, improving layout, and reviewing changes. Clear workflows help teams use AI without giving up control over quality or publishing decisions.

An agent instruction is a rule or request that guides how an AI agent should plan, edit, format, or avoid certain actions.

Agent instructions shape the behavior of an AI assistant. They can describe tone, linking rules, CMS conventions, design constraints, or publishing boundaries so repeated work stays consistent across a project.

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 prompt is a user request written to guide an AI agent toward a specific project outcome, such as a page edit or CMS update.

An effective agent prompt gives the AI enough direction to act without guessing. It usually names the target, the desired outcome, constraints, and any content or style rules that should be preserved.

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-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.

In Framer, CMS agents can speed up structured content work by helping generate entries, refine fields, maintain collection data, and connect content to dynamic pages.