Get the human input on the docs your AI agent writes
Markloop is a tool designed for teams using AI coding agents (like Claude Code and Codex) that produce HTML documents (specs, reports, proposals). It solves the problem of gathering human feedback by providing anchored comments, versioned documents, and agent-ready packages. Users share a rendered document with reviewers who can pin comments to specific sections. The feedback is then exported as structured context (with quotes, selectors, and intents) that agents can consume directly over MCP or as plain files. Markloop emphasizes privacy, unlimited reviewers, and iterative workflows for turning agent drafts into polished documents.
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