Markloop

Markloop is a web application designed to streamline the review process for documents generated by AI coding agents. Built for product teams, engineers, and consultants who rely on agents like Claude Code and Codex, Markloop solves the problem of scattered feedback across email, Slack, and docs by providing a centralized, context-aware review platform. It preserves the original HTML formatting and enables agents to pull structured feedback directly, eliminating manual copy-paste and reducing friction in the review loop.

What Makes Markloop Stand Out

• Anchored comments: Pin feedback to specific sections or sentences, with comments attached to the exact version. Ideal for dense specs and technical documents.
• Agent-ready feedback packages: Every comment exports with its CSS selector, quoted text, and surrounding context, formatted for consumption by AI agents over MCP or as plain files.
• Version tracking with addressed status: Comments live on their original version; new revisions automatically mark addressed items, while open questions persist for the next loop.
• Unlimited free reviewers: Invite clients, teammates, or stakeholders as viewers without per-seat charges — only creators pay.
• Privacy by design: Reviewers see the rendered document, not the source HTML, and access is scoped to specific projects or read-only links with expiry controls.

Who Should Use Markloop

• Product managers and founders who need to get sign-off on AI-drafted PRDs, specs, and proposals, with clear audit trails and agent-applied revisions.
• Engineering teams reviewing technical RFCs, architecture docs, and migration plans — allowing precise line-level comments and automated feedback integration with coding agents.
• Consultants and agencies who share polished HTML reports, audits, and proposals with clients, collecting structured feedback without exposing raw source files.

Frequently Asked Questions

What is Markloop?

Markloop is a feedback platform specifically for HTML documents created by AI coding agents. It allows you to share documents, collect anchored comments and inline answers, and package the feedback for your agent to apply automatically.

How does Markloop integrate with AI agents?

Markloop offers native MCP (Model Context Protocol) support for Claude Code and Codex, enabling push and pull of documents and feedback directly from the terminal. Feedback also exports as plain markdown files for compatibility with any agent.

Does Markloop modify my files on its servers?

No. Markloop does not run any changes on its servers. Your agent applies feedback locally on your machine, ensuring you remain in full control of the source files.