Screenshot of the Source-based writing and editorial delivery workspace interactive demo
Screenshot of the interactive demo, on sample data

Source-based writing and editorial delivery workspace

Reduce editing passes while keeping the writer's voice and source accuracy.

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For
Writers, editors and content teams producing source-based articles, reports and client copy
Solves
Drafting, editing and checking text across several rented writing tools leaves versions, sources and approvals scattered.
Delivers
Editor-approved publication-ready 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
01

What it does

Reduce editing passes while keeping the writer's voice and source accuracy.

  1. Correct spelling, grammar and punctuation.
  2. Suggest style, clarity and conciseness changes.
  3. Give real-time writing suggestions as the user types.
  4. Rephrase and rewrite sentences or paragraphs.
  5. Adjust tone and style to a chosen target.
  6. Generate ideas, outlines and draft content.
  7. Summarize long text or video into shorter summaries.
  8. Translate text and suggest synonyms.
  9. Check content for originality and potential plagiarism.
  10. Score readability and flag complex passages.
  11. Flag formatting errors and keyword repetition.
  12. Track versions and revert to previous drafts.
  13. Organize documents, notes and research in the workspace.
  14. Manage citations and bibliographies in chosen styles.
  15. Support Markdown formatting.
  16. Apply customizable editing prompts.
  17. Integrate with common writing and publishing platforms.
  18. Support real-time collaboration and sharing.
  19. Create, refine and manage prompts for AI tools.
  20. Compare the reviewed result with the recorded baseline and value assumptions.
  21. Capture corrections and named-owner approval before consequential use.
  22. Export versioned editor-approved publication-ready copy linked to its sources with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Licensed source documents
  • Draft text
  • Style guides
  • Editorial constraints

AI drafts, people review. Source-based content workspace with editorial delivery.

What the customer gets
  • Editor-approved publication-ready copy linked to its sources
02

How it works

The workflow

  1. In
    Start with

    Licensed source documents, draft text, style guides and editorial constraints

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect licensed source documents

  4. 3

    Draft text

  5. 4

    Style guides and editorial constraints

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Editor-approved publication-ready 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 fixed style guide and licensed source set; final fact, voice and publication checks remain editorial. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Source and brief intake, Editable writing and editing canvas, Client proof and delivery. Use a thumbnail gallery for documents, 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 preview link with comments anchored to the relevant passage. Make the task-specific outcome editor-approved publication-ready copy linked to its sources visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, asset versions, client 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 document storage, writing-platform 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.

03

How we build it

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: correct spelling, grammar and punctuation; suggest style, clarity and conciseness changes. 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 content teams producing source-based articles, reports and client copy use it to solve "drafting, editing and checking text across several rented writing tools leaves versions, sources and approvals scattered"?
  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 fixed style guide and licensed source set; final fact, voice and publication checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: correct spelling, grammar and punctuation; suggest style, clarity and conciseness changes. Support the remaining modules with operator review: real-time suggestions, rephrasing, tone adjustment, generation, summarization, translation, originality checks, readability, formatting, versioning, organization, citations, Markdown, prompts, integrations, collaboration and prompt management. 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 publication-ready copy linked to its sources. Retain the explicit scope boundary: One fixed style guide and licensed source set; final fact, voice and publication checks remain editorial.

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

04

Investment

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

  1. Phase 1

    MVP

    One buyer segment, one recurring use case; first modules: correct spelling, grammar and punctuation; suggest style, clarity and conciseness changes. Manual review in the loop.

    $14,000 · about 5 days of creation time

  2. Phase 2

    Paid pilot

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

    $14,000 · about 6 days of creation time

  3. Phase 3

    Full product

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

    $19,500 · about 2 weeks of creation time

Indicative total, MVP to full product$47,500about 5 weeks of creation time · start with the MVP from $14,000

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.

StageHosting and infrastructureAI usageTotal per month
MVP and paid pilotabout 3 customers$30–$60$70–$140$100–$200
Full productabout 50 customers$110–$210$700–$1,400$810–$1,610
05

Run it or resell it

Internally

For your own team

Writers, editors and content teams producing source-based articles, reports and client copy run it inside the business: licensed source documents, draft text, style guides and editorial constraints in, editor-approved publication-ready copy linked to its sources out, reviewed by your people.

For your clients

As part of your offer

Agencies, consultancies and software companies can offer it to their own clients under their brand. We build and maintain it; you sell and deliver it.

Your brand, or this one

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

  • primary#912728
  • accent#54c5c9
  • surface#f1e4e5
  • ink#22201e
Headings
Archivo
Text
Lora
Voice
Literate, generous, editorial
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 document package. Offer a monthly production allowance after repeat demand. Quote complex multi-language or specialist editorial work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved publication-ready 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 editing passes while keeping the writer's voice and source accuracy. Demonstrate a concrete editor-approved publication-ready 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 content teams producing source-based articles, reports and client copy 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 publication-ready 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 content teams producing source-based articles, reports and client copy and inspect a recent example of drafting, editing and checking text across several rented writing tools leaves versions, sources and approvals scattered.
  2. Week 2: prepare a consented or synthetic demonstration of the stated 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 publication-ready 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 constraints and review examples, together with reliable delivery for a narrow editorial niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for writers, editors and content teams producing source-based articles, reports and client copy. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

The Windsurf Editor, ReWriteIt AI, Shy Editor, editGPT, Inkline AI, Wordtune, Textbuddy, Wordin, PromptifyPRO and Grok by SpaceXAI for Word. 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, translation or summarization processing, storage, reviewer hours, client revision rounds and licensed source assets. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of editor-approved publication-ready copy linked to its sources. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

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

Get this solution built

Built for you by our AI software factory, MVP in about 5 days. Tell us about your business and how you want to run it: inside your company, or as part of what you offer your clients. We reply within one working day.

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