Markloop is a web application designed to close the feedback loop between AI agents and human reviewers for HTML documents such as specs, reports, and proposals.
- Annotated feedback: Reviewers comment directly on specific parts of the rendered HTML, with comments anchored to exact elements and versioned.
- Agent‑ready package: All feedback is exported as structured data (selector, quote, intent, context) that agents can consume via MCP or plain files.
- Version control: Each upload becomes a version; addressed comments are tracked and open questions persist across iterations.
- Unlimited reviewers: Invite teammates and clients as viewers at no extra cost.
- Privacy first: Reviewers see only the rendered document; source files never leave your machine.
Target users include product managers, engineering consultants, agencies, and any team that relies on AI‑generated documentation and needs a streamlined way to gather, act on, and version human feedback.