Source-linked writing and editorial delivery workspace

For

Writers, editors and small content teams producing source-based articles, reports and ebooks

Solves

Drafts, notes, sources and editorial feedback live in separate tools, so writers lose context and rework text after review.

Delivers

Editor-approved copy linked to its sources

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$14,000 for the MVP, $47,500 for the full product

Run it

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

Reduce rework between draft and approved copy while keeping sources and the writer's voice intact.

1. Keep projects, notes and drafts in one workspace.
2. Provide AI help for brainstorming, outlining, generating, rewriting, expanding and polishing.
3. Let multiple users edit the same document at once.
4. Adapt AI output to the writer's voice and style rules.
5. Allow access to different AI engines in one tool.
6. Accept AI instructions inline within the text.
7. Use linked notes and sources for context-aware suggestions.
8. Offer a whiteboard view to link content visually.
9. Read permitted PDFs, videos and web pages as sources.
10. Rearrange projects, notes and drafts by drag and drop.
11. Adapt the workspace to project stages from idea to final edits.
12. Provide grid and list views.
13. Edit and format text directly in the workspace.
14. Offer focus and dark modes.
15. Lock preferred phrases and mark drafts for AI refinement.
16. Support gesture controls for text manipulation.
17. Support keyboard-first markdown with slash commands.
18. Highlight and preview code blocks while typing.
19. Convert to slide decks and export to PDF or image.
20. Format manuscripts for common publishing file types.
21. Compare the reviewed result with the recorded baseline and value assumptions.
22. Capture corrections and named-owner approval before consequential use.
23. Export versioned editor-approved copy linked to its sources with references and unresolved questions.

Everything these tools do, in one app

• Integrated writing workspace Keeps projects, notes, and drafts together in one place so writers can work without switching apps.Found in Strut AI, Strut, SourcePIlot and 1 more
• AI writing assistance Provides AI help for tasks like brainstorming, outlining, generating, rewriting, expanding, or polishing text.Found in Strut AI, Strut, TextJam and 3 more
• Real-time collaboration Lets multiple users edit and contribute to the same document simultaneously.Found in Strut AI, Strut, TextJam
• Voice and tone adaptation Adapts AI output to match the writer's style, voice, or brand guidelines.Found in Strut AI, Strut, SourcePIlot and 1 more
• Multiple AI models Allows access to different AI engines from various providers within one tool.Found in TextJam, Notebooks - Your AI Whiteboard
• Inline AI prompting Enables giving AI instructions directly within the text for more precise control.Found in TextJam, FunBlocks AI Markdown Editor
• Context-aware suggestions Uses linked notes, sources, or documents to produce more relevant AI edits and rewrites.Found in SourcePIlot, Notebooks - Your AI Whiteboard
• Visual workspace Offers a whiteboard-like environment to see and link content naturally.Found in Notebooks - Your AI Whiteboard
• Content source integration Reads and incorporates information from PDFs, YouTube videos, and websites directly.Found in Notebooks - Your AI Whiteboard
• Drag-and-drop organization Lets users rearrange projects, notes, and drafts easily to suit their workflow.Found in Strut
• Customizable stages Allows adapting the workspace to fit different project phases from idea to final edits.Found in Strut
• Flexible views Provides grid and list views to visualize content in different ways.Found in Strut
• Inline editing Enables editing and formatting text directly within the workspace.Found in Strut
• Distraction-free modes Offers deep focus and dark mode for intense writing sessions without distractions.Found in Strut
• Pen and pencil tools Pen locks in preferred phrases while pencil marks drafts for AI refinement.Found in TextJam
• Gesture controls Uses multi-touch gestures to resize and manipulate text intuitively.Found in TextJam
• Markdown-first workflow Supports keyboard-first writing with slash commands for formatting, tables, math, and diagrams.Found in FunBlocks AI Markdown Editor
• Code block support Includes syntax highlighting and rich previews for code blocks while typing.Found in FunBlocks AI Markdown Editor
• Export and slide conversion Allows one-click conversion to slide decks and exports to PDF or image files.Found in FunBlocks AI Markdown Editor
• Automated ebook formatting Automates formatting of manuscripts for publishing across common file types.Found in Onlydoc

What goes in, what comes out

The workflow

1. In
   Start with

   Permitted source material, project notes, style rules and editorial constraints

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect permitted source material

4. 3

   Project notes

5. 4

   Style rules and editorial constraints

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Editor-approved copy linked to its sources

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the 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 approved source set and style guide; final fact, voice and legal checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Source intake and project notes, Editable writing canvas, Editorial review and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for sources, style rules and comments. Let users compare versions side by side. Display draft, changes requested and approved states. Provide a client or editor preview link with comments anchored to the relevant passage. Make the task-specific outcome editor-approved copy linked to its sources visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, source versions, collaborator comments, approval states, usage allowances, revision limits, download 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

Author-owned manuscripts, authorized interviews and permitted research sources. Cloud storage, document import/export and publishing destinations. 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

   5 days

   One buyer segment, one recurring use case; first modules: keep projects, notes and drafts in one workspace; provide AI help for brainstorming, outlining, generating, rewriting, expanding and polishing. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   6 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 writers, editors and small content teams producing source-based articles, reports and ebooks use it to solve "drafts, notes, sources and editorial feedback live in separate tools, so writers lose context and rework text after review"?
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 drafts per editorial hour and corrections after approval.
4. Measure, then decide. Track accepted drafts per editorial hour and corrections after approval; 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 approved source set and style guide; final fact, voice and legal checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: keep projects, notes and drafts in one workspace; provide AI help for brainstorming, outlining, generating, rewriting, expanding and polishing. Support the third module with operator review: let multiple users edit the same document at once. 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 copy linked to its sources. Retain the explicit scope boundary: One approved source set and style guide; final fact, voice and legal checks remain editorial.

What the build depends on. Source upload and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity publishing requires specialist editorial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved source set and style guide; final fact, voice and legal checks remain editorial.

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 writing package. Offer a monthly production allowance after repeat demand. Quote complex ebook, video or specialist editorial work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved copy linked to its sources. 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 rework between draft and approved copy while keeping sources and the writer's voice intact. Demonstrate a concrete editor-approved copy linked to its sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Writers, editors and small content teams 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 copy linked to its sources from a small authorized input set, with a transparent calculation of accepted drafts per editorial hour and corrections after approval and no promised savings.

The first 30 days

1. Week 1: interview five writers, editors and small content teams producing source-based articles, reports and ebooks and inspect a recent example of drafts, notes, sources and editorial feedback living in separate tools.
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 drafts per editorial hour and corrections after approval, 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 drafts per editorial hour and corrections after approval. 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 drafts per editorial hour and corrections after approval; 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 copy linked to its sources. 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 styles, source rules and review examples, together with reliable delivery for a narrow writing niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for writers, editors and small content teams producing source-based articles, reports and ebooks. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Strut AI, Strut, TextJam, SourcePIlot, Notebooks - Your AI Whiteboard, FunBlocks AI Markdown Editor and Onlydoc. Compare this product with the buyer's present method on accepted drafts per editorial hour and corrections after approval. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, source processing, storage, 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 copy linked to its sources. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve author voice, source attribution, quotation accuracy and usage permissions. Authors approve substantive changes and publication scope. One approved source set and style guide; final fact, voice and legal checks remain editorial. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.