A workflow that fits
AI-assisted editorial workflows.
Let AI assistants read structured content and propose coordinated changes while human publishers keep control.
Give your assistant a defined workspace.
Create a site-specific, expiring agent key and connect an MCP client or trusted server. An agent can read content and submit proposals within its site; it cannot approve publication.
Review a complete, consistent picture.
Freeze a review snapshot, paginate through the pinned documents and schemas, and record the exact revisions reviewed. Ordinary search helps discovery but does not demonstrate complete review coverage.
Review the proposal before the audience sees it.
An assistant submits related edits as a changeset with expected revisions. Validation checks dependencies and conflicts. A publisher inspects differences and decides whether to approve, reject, or schedule.
Keep the history of every decision.
Revisions, review activity, and published releases stay connected. If content changes during review, prepare a fresh proposal rather than approving a stale version.
Ready for your next release
Give your content
a considered home.
Bring a page, a content model, or an editorial workflow.
We’ll walk through how it fits together.