Agent Review
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.
Staging
Publishing
A pre-production environment used to review and test changes before they go live. Staging helps teams validate content, layout, and behavior safely before publishing to the production site. See Publishing your Framer website.
Responsive Pass
Responsive
A responsive pass is a focused review and adjustment of layouts, spacing, type, and media across tablet and phone breakpoints.
In AI-assisted website creation, responsive pass helps teams move faster without losing control of structure, content, performance, or editable design details.
Agent Audit Trail
AI
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.
Agent Branch
AI
An agent branch is a separate working version of a project where AI-made changes can be reviewed before they affect the main site.
An agent branch protects the live project by isolating AI edits. Teams can preview the result, compare changes, request revisions, and merge only when the work is ready.
Agent Guardrail
AI
An agent guardrail is a boundary that prevents unsafe, unwanted, or inconsistent AI behavior during project work.
Agent guardrails can stop destructive edits, prevent duplicate CMS entries, preserve brand rules, or require review before publishing. They are especially useful when agents work across large websites or shared team projects.
Agent QA
AI
Agent QA is the use of an AI agent to find and help fix issues such as broken links, duplicate content, missing metadata, or inconsistent layout.
Agent QA supports quality assurance by scanning project content and structure for problems. It is most useful when paired with human review, especially before merging a branch or publishing a site.