Screenshot of the Managed AI writing and drawing production platform interactive demo
Screenshot of the interactive demo, on sample data

Managed AI writing and drawing production platform

Reduce tool sprawl while keeping one reviewed production record.

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For
Content teams and creative studios producing written content and digital drawings
Solves
Writers and illustrators rent separate AI tools for text and drawing, so drafts, styles and approvals stay scattered across subscriptions.
Delivers
Editor-approved written pieces and drawings linked to their source prompts
Built in
about 6 weeks of creation time, MVP in 7 days
Investment
$13,000 for the MVP, $44,000 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool sprawl while keeping one reviewed production record.

  1. Generate written content or drawings from prompts.
  2. Suggest live grammar, tone and clarity edits while writing.
  3. Adjust writing voice or artistic style to match briefs.
  4. Brainstorm topics and creative prompts.
  5. Connect to productivity and content platforms.
  6. Provide an easy-to-use interface for new users.
  7. Support articles, social posts, emails and drawings.
  8. Generate initial outlines and shapes for sketching.
  9. Offer customizable brushes and drawing tools.
  10. Allow multiple users on one canvas or document.
  11. Organize complex drawings with layers.
  12. Export artwork in multiple file formats.
  13. Provide smooth, responsive painting.
  14. Optimize for iPad performance.
  15. Offer templates for different content needs.
  16. Enable team input and editing on content.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Prompts
  • Brand style guides
  • Approved references
  • Review constraints

AI drafts, people review. Visual production platform with managed creative review.

What the customer gets
  • Editor-approved written pieces
  • Drawings linked to their source prompts
02

How it works

The workflow

  1. In
    Start with

    Prompts, brand style guides, approved references and review constraints

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect prompts

  4. 3

    Brand style guides

  5. 4

    Approved references and review constraints

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Editor-approved written pieces and drawings linked to their source prompts

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three 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 brand style guide and licensed reference set; final editorial and artistic checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Creative brief and references, Editable production preview, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for references, constraints 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 asset. Make the task-specific outcome editor-approved written pieces and drawings linked to their source prompts 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 asset 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.

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

    7 days

    One buyer segment, one recurring use case; first modules: generate written content or drawings from prompts; suggest live grammar, tone and clarity edits while writing. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    8 days

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

  4. 4

    Full product

    3 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 content teams and creative studios producing written content and digital drawings use it to solve "writers and illustrators rent separate AI tools for text and drawing, so drafts, styles and approvals stay scattered across subscriptions"?
  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 assets per production hour and corrections after approval.
  4. Measure, then decide. Track accepted assets per production 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 brand style guide and licensed reference set; final editorial and artistic checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate written content or drawings from prompts; suggest live grammar, tone and clarity edits while writing. Support the third module with operator review: adjust writing voice or artistic style to match briefs. 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 written pieces and drawings linked to their source prompts. Retain the explicit scope boundary: One approved brand style guide and licensed reference set; final editorial and artistic checks remain human.

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 creative QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One approved brand style guide and licensed reference set; final editorial and artistic checks remain human.

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: generate written content or drawings from prompts; suggest live grammar, tone and clarity edits while writing. Manual review in the loop.

    $13,000 · about 7 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.

    $13,000 · about 8 days of creation time

  3. Phase 3

    Full product

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

    $18,000 · about 3 weeks of creation time

Indicative total, MVP to full product$44,000about 6 weeks of creation time · start with the MVP from $13,000

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$40–$80$150–$310$190–$390
Full productabout 50 customers$160–$320$2,100–$4,200$2,260–$4,520
05

Run it or resell it

Internally

For your own team

Content teams and creative studios producing written content and digital drawings run it inside the business: prompts, brand style guides, approved references and review constraints in, editor-approved written pieces and drawings linked to their source prompts 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#914e27
  • accent#54c1c9
  • surface#f1e9e4
  • ink#22201e
Headings
Fraunces
Text
Inter
Voice
Confident, visual, craft-proud
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 asset package. Offer a monthly production allowance after repeat demand. Quote complex video, 3D or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded editor-approved written pieces and drawings linked to their source prompts. 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 sprawl while keeping one reviewed production record. Demonstrate a concrete editor-approved written pieces and drawings linked to their source prompts using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Content teams and creative studios producing written content and digital drawings 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 written pieces and drawings linked to their source prompts from a small authorized input set, with a transparent calculation of accepted assets per production hour and corrections after approval and no promised savings.

The first 30 days

  1. Week 1: interview five content teams and creative studios producing written content and digital drawings and inspect a recent example of writers and illustrators renting separate AI tools for text and drawing, so drafts, styles and approvals stay scattered across subscriptions.
  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 assets per production 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 assets per production 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 assets per production 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 written pieces and drawings linked to their source prompts. 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, production constraints and review examples, together with reliable delivery for a narrow creative niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for content teams and creative studios producing written content and digital drawings. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Muse Pro, Drawww, Davinci Pencil and Wand, plus freelancers and generic generation tools. Compare this product with the buyer's present method on accepted assets per production 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, image 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 written pieces and drawings linked to their source prompts. 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 approved brand style guide and licensed reference set; final editorial and artistic checks remain human. 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 7 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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