Multiplayer markdown workspace with agent file access

For

Software teams and technical writers who co-edit markdown and HTML documents with AI agents

Solves

People and AI agents edit the same documents through separate tools, so changes, comments and versions drift apart.

Delivers

Editor-approved document set with diffs and comment threads

Built in

about 5 weeks of creation time, MVP in 6 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

Inside your business, or as part of your offer to clients

Reduce coordination overhead while keeping every edit reviewable.

1. Edit the same document with multiple people in real time.
2. Show each collaborator's live cursor position.
3. Leave inline comments anchored to document blocks.
4. Follow a teammate's view across documents.
5. Create multiple carets for editing several lines at once.
6. Render markdown as you type while keeping plain .md files.
7. Rearrange content with drag-and-drop blocks.
8. Offer rewrite, autocomplete and content generation in the editor.
9. Track versions and revert edits.
10. Provide a dark mode interface.
11. Expose UI components for editor customization.
12. Render local markdown and HTML files into a clean UI.
13. Let agents write markdown or HTML to disk and render it on save.
14. Sync a workspace folder bidirectionally through a lightweight CLI.
15. Share a live editable browser link to the same workspace.
16. Give every team member and their agents access to the same local files.
17. Keep personal workspaces private or limit access per file.
18. Work offline and surface per-file diffs for manual conflict resolution after sync.
19. Embed context-aware AI copilots in the interface.
20. Notify collaborators about comment activity.
21. Use pre-built React components for quick integration.
22. Run without backend setup.
23. Import documents via .md drop, pasted markdown, GitHub or a local MCP server.
24. Export the current document, the diff or the comment thread.
25. Generate a diff and comment thread after a session for pasting into a coding agent.

Everything these tools do, in one app

• Real-time multiplayer editing Multiple people can edit the same document at the same time.Found in Skilldocs, Notion-style editor for Tiptap Cloud, Liminal and 1 more
• Live cursor presence Shows where each collaborator's cursor is in the document.Found in Skilldocs, Notion-style editor for Tiptap Cloud, Liveblocks 3.0
• Inline comments Lets collaborators leave comments directly in the document.Found in Skilldocs, Liveblocks 3.0
• Follow a teammate Click a teammate's avatar to track their view as they move, including across documents.Found in Skilldocs
• Multi-caret editing Command-click to create multiple text carets for editing several lines at once.Found in Skilldocs
• WYSIWYG markdown rendering Renders markdown as you type while keeping the document in plain .md format.Found in Skilldocs
• Block-based content editing Drag-and-drop blocks for flexible layout management.Found in Notion-style editor for Tiptap Cloud
• AI-assisted writing Provides rewrite, autocomplete, and content generation within the editor.Found in Notion-style editor for Tiptap Cloud
• Version history Tracks changes and allows reverting edits when needed.Found in Notion-style editor for Tiptap Cloud
• Dark mode Supports a dark color scheme for the editor interface.Found in Notion-style editor for Tiptap Cloud
• UI component system Built-in components for easy customization of the editor.Found in Notion-style editor for Tiptap Cloud
• Local file rendering Renders local markdown and HTML files into a clean UI.Found in Liminal
• Agent-native file handling Agents write markdown or HTML to disk and the tool renders it as formatted UI on save.Found in Liminal
• CLI-based sync A lightweight CLI watches a workspace folder and syncs bidirectionally with the cloud.Found in Liminal
• Shareable live link Sending a link gives teammates a live, editable browser view of the same workspace.Found in Liminal
• Shared second brain Every team member and their agents can access the same set of files locally.Found in Liminal
• Per-file access controls Keep personal workspaces private or limit access to specific files in shared workspaces.Found in Liminal
• Offline-first with conflict resolution All files sit on your machine for offline access, and syncing after offline work surfaces diffs per file for manual conflict resolution.Found in Liminal
• Context-aware AI copilots AI copilots embedded in the user interface assist users dynamically.Found in Liveblocks 3.0
• Comment notifications A commenting system with notifications that facilitate discussion within the product.Found in Liveblocks 3.0
• Pre-built React components Ready-made components allow quick integration with minimal coding effort.Found in Liveblocks 3.0
• No backend setup No backend infrastructure required, simplifying deployment and maintenance.Found in Liveblocks 3.0
• Document importing Import documents via .md file drop, pasted markdown, GitHub imports, or a local MCP server connection.Found in Skilldocs
• Export options Export by copying the current document, the diff, or the comment thread.Found in Skilldocs
• Diff and comment thread for agents After a collaboration session, generates a diff and comment thread that users can copy directly into their coding agent.Found in Skilldocs

What goes in, what comes out

The workflow

1. In
   Start with

   Shared workspace of markdown and HTML files, live editing sessions, agent writes and review comments

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect the shared workspace of markdown and HTML files

4. 3

   Live editing sessions

5. 4

   Agent writes and review comments

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Editor-approved document set with diffs and comment threads

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed markdown and HTML file format and a single shared workspace; final content approval and conflict resolution remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Workspace file browser, Live editing canvas, Review and delivery. Use a left file tree for the shared workspace, a large central editor with live cursors and inline comments, and a right-hand panel for agents, versions and access controls. Let users compare versions and diffs side by side. Display draft, changes requested and approved states. Provide a shareable live link with comments anchored to the relevant block. Make the task-specific outcome editor-approved document set with diffs and comment threads visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, file versions, comment threads, approval states, access rules, agent permissions, sync history and a rights record for supplied material. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external actions.

Integrations and data access

Team-owned markdown and HTML repositories, GitHub, local MCP servers and permitted cloud storage. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   6 days

   One buyer segment, one recurring use case; first modules: edit the same document with multiple people in real time; show each collaborator's live cursor position. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   7 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   2 weeks

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will software teams and technical writers who co-edit markdown and HTML documents with AI agents use it to solve "people and AI agents edit the same documents through separate tools, so changes, comments and versions drift apart"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted document revisions per team hour and conflicts resolved after sync.
4. Measure, then decide. Track accepted document revisions per team hour and conflicts resolved after sync; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One fixed markdown and HTML file format and a single shared workspace; final content approval and conflict resolution remain human. Implement one approved input format, a bounded representative case set and the first two task modules: edit the same document with multiple people in real time; show each collaborator's live cursor position. Support the third module with operator review: leave inline comments anchored to document blocks. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around editor-approved document set with diffs and comment threads. Retain the explicit scope boundary: One fixed markdown and HTML file format and a single shared workspace; final content approval and conflict resolution remain human.

What the build depends on. File upload and preview, asynchronous sync jobs, editable version history, reviewer access and tested export formats. High-fidelity collaboration requires specialist QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed markdown and HTML file format and a single shared workspace; final content approval and conflict resolution remain human.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test a USD 300-1,500 fixed pilot for one defined workspace package. Offer a monthly production allowance after repeat demand. Quote complex integrations or specialist migration separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved document set with diffs and comment threads. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce coordination overhead while keeping every edit reviewable. Demonstrate a concrete editor-approved document set with diffs and comment threads using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Software teams and technical writers professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample editor-approved document set with diffs and comment threads from a small authorized input set, with a transparent calculation of accepted document revisions per team hour and conflicts resolved after sync and no promised savings.

The first 30 days

1. Week 1: interview five software teams and technical writers who co-edit markdown and HTML documents with AI agents and inspect a recent example of people and AI agents editing the same documents through separate tools, so changes, comments and versions drift apart.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure accepted document revisions per team hour and conflicts resolved after sync, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Accepted document revisions per team hour and conflicts resolved after sync. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Accepted document revisions per team hour and conflicts resolved after sync; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs editor-approved document set with diffs and comment threads. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved document templates, sync rules and review examples, together with reliable delivery for a narrow technical niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for software teams and technical writers who co-edit markdown and HTML documents with AI agents. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Skilldocs, Notion-style editor for Tiptap Cloud, Liminal, Liveblocks 3.0, and the buyer's present mix of separate editors, sync scripts and agent tools. Compare this product with the buyer's present method on accepted document revisions per team hour and conflicts resolved after sync. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Model calls, storage, sync infrastructure, reviewer hours, client revision rounds and licensed source material. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of editor-approved document set with diffs and comment threads. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve document integrity, source attribution, comment accuracy and access permissions. Named owners approve substantive changes and publication scope. One fixed markdown and HTML file format and a single shared workspace; final content approval and conflict resolution remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.