A workflow where content is edited directly in the context of the live page layout rather than in a separate form view. This improves editorial speed and reduces context switching.

AGENTS.md is a project instruction file that gives AI coding agents task context, workflow rules, and constraints so agent behavior aligns with team standards.

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.

Approval Modes are policy settings that control which operations an agent can run automatically and which require explicit human approval.

Non-interactive Mode executes agent workflows in a command-driven context without live chat interactions, useful for automation and pipelines.

A Context Window is the maximum amount of tokens a model can process at once, including instructions, conversation history, and retrieved data.

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

Hallucination refers to model outputs that sound plausible but are unsupported or false, often due to missing or weak source context.

An Appendix is supplemental material attached to the end of a document or guide to provide deeper context, references, or background information.

An MCP client is the part of an app or MCP server and requests tools, resources, or prompts using Model Context Protocol (MCP).agent that connects to an

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 review is the process of checking AI-made changes for accuracy, visual quality, links, accessibility, and consistency before publishing.

Agent review is important because AI can make fast changes across content and design. A review pass catches duplicate content, broken links, weak metadata, layout issues, or edits that do not match the project’s existing structure.

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.