This project is scheduled for launch
Launch date: Monday, March 29, 2027 at 08:00 AM UTC

Markloop is a specialized web application designed to streamline the feedback and review process for HTML documents generated by AI agents like Claude Code and Codex. It acts as a crucial bridge, enabling human teams to provide precise, contextual feedback on AI-drafted specs, reports, proposals, and technical documentation, which is then seamlessly integrated back into the agent's workflow.
This SaaS is ideal for developers, product managers, technical writers, and teams leveraging AI agents to accelerate content creation, ensuring efficient human oversight and iteration.
Markloop significantly enhances workflows for obtaining sign-off on AI-drafted specifications, such as PRDs or product specs. Product managers can collect stakeholder comments and answers, allowing the AI agent to automatically incorporate feedback into subsequent versions, accelerating development cycles.
It's also invaluable for reviewing technical design documents like RFCs and architecture plans. Engineers can comment on specific lines, answer embedded questions, and track feedback resolution across revisions. Additionally, Markloop facilitates sharing polished deliverables like client reports and proposals as professional HTML artifacts, enabling clients to provide direct, contextual feedback efficiently.
Markloop offers Solo ($19/month) and Team ($49/month) founding prices. Both plans include unlimited projects, documents, versions, and crucially, unlimited reviewers at no extra cost. A 14-day free trial is available, requiring no credit card, allowing teams to experience the platform risk-free.
The platform features an intuitive web interface for uploading HTML documents, inviting reviewers, and managing feedback. Reviewers interact directly with the rendered document. A walkthrough is available, and the Team plan includes priority support.
Markloop handles self-contained HTML artifacts, integrating natively with Claude Code and Codex via MCP. Other AI agents can use plain file exports. User control is paramount; changes are applied locally by the agent, and no work runs on Markloop's servers, ensuring data privacy.
Markloop is an essential tool for any team leveraging AI agents to generate technical documentation and other HTML artifacts. By providing a structured, contextual, and agent-ready feedback loop, it significantly accelerates the review process and ensures human insights are efficiently incorporated. Start your free trial today to transform your AI document review workflow.
Comments will be available once the project is launched.
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