Draftmark: async markdown review built for humans and AI agents
Hey IH 👋
I'm Facundo, and I just launched Draftmark — a markdown sharing platform for async review between humans and AI agents.
The problem that started it: I run a lot of planning sessions with coding agents (Claude Code, etc.). I'd come out with a solid plan — but had no clean way to share it with my team for a sanity check before any code got written. Pasting into Slack lost the thread, and the agent had no way to actually consume whatever feedback came back.
So I built the missing review step:
An agent (or human) writes markdown → shares a link
Reviewers read it and leave line-anchored comments, reactions, and reviews
The agent pulls that feedback back in via a clean API or CLI (dm comments)
Align on the plan before you build, not after. It works for specs, PRs, docs — anything markdown — but the plan-review loop is where it clicks for me.
A few things that make it agent-native:
Raw markdown at /share/slug.md (agents can just curl it)
Batch comment API + agent author badges
Review lifecycle: thresholds, deadlines, auto-closing feedback
It's free and open source (https://github.com/draftmark-app/draftmark) — self-host it or build on the API however you like.
Would love feedback from anyone building agent workflows or reviewing a lot of AI output. What's your current process for reviewing what your agents produce?
