Screenshot of the Source-based document workspace with editorial delivery interactive demo
Screenshot of the interactive demo, on sample data

Source-based document workspace with editorial delivery

Reduce editorial revision cycles while keeping every claim traceable to its source.

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For
Writers and editorial teams producing source-based documents
Solves
Drafting, reviewing and approving source-based documents is split across several rented tools, so versions, approvals and source references drift apart.
Delivers
Editor-approved documents linked to their 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 editorial revision cycles while keeping every claim traceable to its source.

  1. Draft and edit documents with formatting support.
  2. Suggest AI-assisted text and content generation.
  3. Support real-time multi-user editing.
  4. Apply pre-designed document templates.
  5. Connect to external software tools.
  6. Organize content with clear structure and formatting.
  7. Link notes, tasks and to-dos to documents.
  8. Keep daily notes and reminders.
  9. Allow offline-first editing and sync.
  10. Build interactive documents and wikis with rich media.
  11. Share via live links, embed codes and trackable URLs.
  12. Track document changes and views.
  13. Run CRM-style approval workflows.
  14. Assign named responsibility for reviews.
  15. Report org-wide documentation and approval insights.
  16. Check grammar and style.
  17. Adjust tone and style per audience.
  18. Populate repeated data automatically.
  19. Maintain version control and document history.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Licensed source material
  • House style rules
  • Templates
  • Reviewer comments

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

What the customer gets
  • Editor-approved documents linked to their sources
02

How it works

The workflow

  1. In
    Start with

    Licensed source material, house style rules, templates and reviewer comments

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect licensed source material

  4. 3

    House style rules

  5. 4

    Templates and reviewer comments

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Editor-approved documents linked to their 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 document type and licensed source set; final fact, style 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 intake and brief, Editable document workspace, Review 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 documents linked to their 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 source material, authorized interviews and permitted research sources. Cloud document storage, office-file 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: draft and edit documents with formatting support; suggest AI-assisted text and content generation. 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 and editorial teams producing source-based documents use it to solve "drafting, reviewing and approving source-based documents is split across several rented tools, so versions, approvals and source references 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 documents per editorial hour and corrections after approval.
  4. Measure, then decide. Track accepted documents 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 document type and licensed source set; final fact, style and publication checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: draft and edit documents with formatting support; suggest AI-assisted text and content generation. Support the remaining modules with operator review: real-time multi-user editing, templates, integrations, structured documents, project management, daily notes and reminders, offline-first editing, interactive documents and wikis, advanced sharing, document tracking, CRM-style approval workflows, built-in accountability, org-wide insights, grammar and style checking, customizable tone and style, automated data population, and version control. 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 documents linked to their sources. Retain the explicit scope boundary: One fixed document type and licensed source set; final fact, style 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 production requires specialist editorial QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One fixed document type and licensed source set; final fact, style 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: draft and edit documents with formatting support; suggest AI-assisted text and content generation. 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 and editorial teams producing source-based documents run it inside the business: licensed source material, house style rules, templates and reviewer comments in, editor-approved documents linked to their 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#912735
  • accent#54c9b0
  • surface#f1e4e6
  • ink#22201e
Headings
DM Serif Display
Text
DM Sans
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-source or specialist editorial work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved documents linked to their 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 editorial revision cycles while keeping every claim traceable to its source. Demonstrate a concrete editor-approved documents linked to their sources using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Writers and editorial teams producing source-based documents 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 documents linked to their sources from a small authorized input set, with a transparent calculation of accepted documents per editorial hour and corrections after approval and no promised savings.

The first 30 days

  1. Week 1: interview five writers and editorial teams producing source-based documents and inspect a recent example of drafting, reviewing and approving source-based documents is split across several rented tools, so versions, approvals and source references 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 documents 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 documents 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 documents 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 documents linked to their 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 templates, house style rules 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 and editorial teams producing source-based documents. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Craft, Bit.ai, Artefact, Hylark and Docuopia, plus freelancers and generic writing tools. Compare this product with the buyer's present method on accepted documents 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, 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 documents linked to their 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 document type and licensed source set; final fact, style 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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