Comparison
AI workflows increasingly depend on Markdown: prompts, agent instructions, SOPs, product specs and workflow definitions.
GitHub is excellent for technical teams. Google Docs is familiar for business review. But neither is designed specifically for managing Markdown that all stakeholders and AI tools need to consume.
Edith gives teams a current-version workflow with comments, pending suggestions, review links, share links, version history and AI-ready Markdown.
| Need | GitHub | Google Docs | Edith |
|---|---|---|---|
| Plain Markdown | Excellent | Poor | Native |
| Developer workflow | Excellent | Weak | Compatible |
| Non-technical review | Hard | Easy | Easy |
| Suggestions before changes land | Pull requests | Track changes | Pending suggestions |
| One current source of truth | Repo-based | Often duplicated | Current version |
| Markdown output | Strong | Messy | Native Markdown |
| Review links for stakeholders | Technical | Familiar | Built for Markdown review |
| Agent/API access | Technical | Limited | Built in |
GitHub is an excellent place to manage code and technical Markdown. But as AI adoption spreads, the Markdown behind prompts, agents, SOPs and product specs needs input from developers, operators, subject-matter experts, reviewers, leaders and AI agents alike.
Edith keeps Markdown plain while giving the wider team a simpler review workflow.
Google Docs is familiar, but it introduces a formatting layer between the document and the AI tools that need to consume it.
Edith keeps the document in Markdown while giving reviewers the comment and suggestion workflow they expect.