Why AI agents need human-readable review docs and how Markdown can deliver
The whitepaper shows that as AI agents take on full-stack work, the resulting visibility gap leaves organizations blind to the assumptions and intermediate steps. It proposes versioned Markdown or static HTML records as a lightweight review boundary, agents produce a human-readable proposal or log that reviewers can approve, comment on, and version-track before high-risk actions run.