Source-based writing and editorial delivery workspace

For

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

Solves

Writing work is split across several rented assistants, so drafts, edits, citations and approvals live in different tools and nothing is owned end to end.

Delivers

Editor-approved publishable drafts with source-linked changes

Built in

about 5 weeks of creation time, MVP in 5 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

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

Reduce tool switching and manual rework while keeping the writer's meaning and sources intact.

1. Correct grammar, spelling and punctuation with source-linked suggestions.
2. Generate and rank ideas from the brief and supplied sources.
3. Summarize long documents into concise reviewed summaries.
4. Paraphrase and rewrite while preserving meaning.
5. Adjust tone for the stated audience and context.
6. Optimize headings and body copy for search intent.
7. Scan drafts against permitted sources for originality.
8. Give real-time feedback as the writer types.
9. Support writing and translation in the required languages.
10. Apply approved templates for each format.
11. Support comments, assignments and shared review.
12. Generate citations in the required style.
13. Check essays for structure, coherence and clarity.
14. Support Markdown formatting and export.
15. Provide a mobile writing keyboard.
16. Automate repetitive writing tasks.
17. Record and recall approved project memory.
18. Convert text prompts into editable UI components and screens.

Everything these tools do, in one app

• Grammar and spelling correction Checks text for grammar, spelling, and punctuation errors and suggests corrections.Found in Wordplus.ai, AI Writer, Flot.ai and 6 more
• Idea generation Helps users brainstorm ideas and overcome writer's block.Found in Wordplus.ai, AI Writer, WritingMate and 1 more
• Text summarization Condenses long documents into concise summaries for quicker comprehension.Found in WordfixerBot, WritingMate
• Paraphrasing and rewriting Rephrases text while preserving meaning and offers alternative phrasings.Found in AI Writer, WordfixerBot, WritingMate and 1 more
• Tone adjustment Adjusts the tone of text to suit different audiences or contexts.Found in Flot.ai, WordfixerBot, Elephas
• SEO optimization Optimizes content to improve search engine rankings.Found in Wordplus.ai
• Plagiarism detection Scans text against web sources to ensure originality.Found in Wordplus.ai, Grammarly
• Real-time feedback Provides immediate suggestions and corrections as you write.Found in Text Enhancer AI, Grammarly
• Multilingual support Supports writing and translation in multiple languages.Found in Flot.ai, WritingMate
• Templates Offers pre-designed templates for various writing formats.Found in AI Writer, boo.ai
• Collaboration tools Facilitates teamwork and sharing within writing projects.Found in Wordplus.ai
• Citation generator Generates accurate citations for academic writing.Found in Grammarly
• Essay checker Checks essays for structure, coherence, and clarity.Found in Grammarly
• Markdown support Allows formatting text using Markdown syntax.Found in boo.ai
• Smart keyboard Provides a dedicated keyboard for efficient writing on mobile devices.Found in Elephas
• Workflow automation Automates repetitive writing tasks to enhance productivity.Found in Elephas
• AI memory Records and recalls important information and memos.Found in Flot.ai
• UI component generation Converts text prompts into editable UI components and screens.Found in Draftly

What goes in, what comes out

The workflow

1. In
   Start with

   Supplied sources, style rules, templates and editorial constraints

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect supplied sources

4. 3

   Style rules

5. 4

   Templates and editorial constraints

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Editor-approved publishable drafts with source-linked changes

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, citation 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 writing canvas, Review and delivery. Use a document list for projects, a large central editing canvas, and a right-hand panel for sources, style rules, citations 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 publishable drafts with source-linked changes visible beside its evidence, review state and value baseline.

Accounts and administration

Project ownership, source 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, design-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.

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 grammar, spelling and punctuation with source-linked suggestions; generate and rank ideas from the brief and supplied sources. 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 essays use it to solve "writing work is split across several rented assistants, so drafts, edits, citations and approvals live in different tools and nothing is owned end to end"?
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, citation and publication checks remain editorial. Implement one approved input format, a bounded representative case set and the first two task modules: correct grammar, spelling and punctuation with source-linked suggestions; generate and rank ideas from the brief and supplied sources. Support the remaining modules with operator review. 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 publishable drafts with source-linked changes. Retain the explicit scope boundary: One approved source set and style guide; final fact, citation and publication 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 production 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, citation and publication 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 source package. Offer a monthly production allowance after repeat demand. Quote complex multilingual or specialist editorial work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved publishable drafts with source-linked changes. 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 tool switching and manual rework while keeping the writer's meaning and sources intact. Demonstrate a concrete editor-approved publishable drafts with source-linked changes 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 essays 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 publishable drafts with source-linked changes 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 essays and inspect a recent example of writing work split across several rented assistants.
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 publishable drafts with source-linked changes. 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 content teams producing source-based articles, reports and essays. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Wordplus.ai, AI Writer, Flot.ai, Draftly, WordfixerBot, Text Enhancer AI, WritingMate, boo.ai, Elephas and Grammarly are what buyers use today. 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 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 publishable drafts with source-linked changes. 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, citation 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.