# Docs by AI Computer Company Collaborative markdown documents your AI can read and edit over REST. Every document has a share link: https://docs.aicomputercompany.com/. Possession of the doc_ IS the authorization — no API keys, no signup, anyone with the link (human or agent) can read and write. Edits land live in collaborators' editors without disturbing their cursors. API base: https://docs.aicomputercompany.com/api Lifecycle: 1. Create: POST https://docs.aicomputercompany.com/api/docs {"markdown": "...", "title": "..."} → {document: {id}, shareUrl} share the shareUrl with humans 2. Read: GET https://docs.aicomputercompany.com/api/docs//raw plain markdown GET https://docs.aicomputercompany.com/api/docs//raw?numbered=1 cat -n style, read before editing 3. Edit: POST https://docs.aicomputercompany.com/api/docs//edit {"old_string": "...", "new_string": "...", "replace_all": false} exact str_replace semantics: 409 if not found or not unique 4. Push: PUT https://docs.aicomputercompany.com/api/docs//markdown {"markdown": "..."} full replace, diff-applied Also available: revisions/checkpoints/revert, clean export, and an AI review layer (inline annotations with verdicts, comments, suggestions, custom views). Custom views: push your own HTML UI as a sandboxed view via POST https://docs.aicomputercompany.com/api/docs//views {"kind": "custom", "payload": {"html": "..."}}. Review process (when given requirements/specs to review): 1. Consolidate all requirements into ONE structured document; share the URL. 2. Review every requirement line by line: check logic, contradictions, follow-ups. Post one bulk annotation pass with verdicts valid / question / conflict (refs link conflicting pairs). Status of a task line (confirmed/done/blocked): anchor the WHOLE line, not a fragment. Issue within a line: anchor just that phrase. No emojis unless asked. 3. Surface blockers + "decisions needed" in a document-level comment; propose fixes as accept/reject suggestions. 4. Push views: gantt timeline, stakeholder digest, custom HTML UI. 5. Delegate: push "prompts" view cards — self-contained handoff prompts per task for Copilot/Cursor/Codex/Claude Code/Gemini. Full agent manual with every endpoint, the review methodology, and curl examples: https://docs.aicomputercompany.com/llms-full.txt