
Source-based document workspace with editorial delivery
Reduce editorial revision cycles while keeping every claim traceable to its source.
- 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
What it does
Reduce editorial revision cycles while keeping every claim traceable to its source.
- Draft and edit documents with formatting support.
- Suggest AI-assisted text and content generation.
- Support real-time multi-user editing.
- Apply pre-designed document templates.
- Connect to external software tools.
- Organize content with clear structure and formatting.
- Link notes, tasks and to-dos to documents.
- Keep daily notes and reminders.
- Allow offline-first editing and sync.
- Build interactive documents and wikis with rich media.
- Share via live links, embed codes and trackable URLs.
- Track document changes and views.
- Run CRM-style approval workflows.
- Assign named responsibility for reviews.
- Report org-wide documentation and approval insights.
- Check grammar and style.
- Adjust tone and style per audience.
- Populate repeated data automatically.
- Maintain version control and document history.
Everything these tools do, in one app
- Document Creation & Editing Allows users to write and edit documents with formatting support.Found in Craft, Bit.ai, Artefact and 2 more
- AI Writing Assistance Provides AI-powered suggestions and content generation to speed up writing.Found in Craft, Bit.ai, Artefact and 2 more
- Real-Time Collaboration Enables multiple users to work on the same document simultaneously.Found in Craft, Bit.ai, Artefact and 2 more
- Templates Offers pre-designed document templates to accelerate creation.Found in Craft, Bit.ai, Docuopia
- Integrations Connects with other software tools to enhance workflow.Found in Craft, Bit.ai, Hylark and 1 more
- Structured Documents Helps organize content with clear structure and formatting.Found in Craft
- Project Management Integrates notes, tasks, and to-dos to plan and track projects.Found in Craft
- Daily Notes & Reminders Keeps users on top of schedules and goals with daily notes and reminders.Found in Craft
- Offline-First Functionality Allows work to remain accessible and up-to-date without internet connection.Found in Craft
- Interactive Documents & Wikis Builds dynamic documents and wikis with rich media like video and spreadsheets.Found in Bit.ai
- Advanced Sharing Options Shares documents via live links, embed codes, and trackable URLs.Found in Bit.ai
- Document Tracking Monitors changes and views of shared documents.Found in Bit.ai
- CRM-Style Approval Workflows Provides organized tracking of document statuses and approvals.Found in Artefact
- Built-in Accountability Assigns responsibility within the document process to ensure timely reviews.Found in Artefact
- Org-Wide Insights Delivers analytics on documentation quality, approval efficiency, and team velocity.Found in Artefact
- Grammar & Style Checking Enhances text quality by checking grammar and style.Found in Hylark
- Customizable Tone & Style Adjusts writing tone and style to match different audiences.Found in Hylark
- Automated Data Population Reduces repetitive input by automatically filling in data.Found in Docuopia
- Version Control Tracks changes and maintains document history.Found in Docuopia
What goes in, what comes out
- Licensed source material
- House style rules
- Templates
- Reviewer comments
AI drafts, people review. Source-based content workspace with editorial delivery.
- Editor-approved documents linked to their sources
How it works
The workflow
- InStart with
Licensed source material, house style rules, templates and reviewer comments
- 1
Confirm the buyer's problem and scope
- 2
Collect licensed source material
- 3
House style rules
- 4
Templates and reviewer comments
- 5
Then follow this sequence: 1
- OutFinish 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.
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
Scoping call
Day 1Thirty 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
MVP
5 daysOne 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
Paid pilot
6 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
2 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- 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"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Accepted documents per editorial hour and corrections after approval.
- 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.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- 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.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
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.
| Stage | Hosting and infrastructure | AI usage | Total 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 |
Run it or resell it
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.
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
- 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.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- 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.
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.