Screenshot of the Brand content production and review workspace interactive demo
Screenshot of the interactive demo, on sample data

Brand content production and review workspace

Reduce tool sprawl and review cycles while keeping brand assets in one owned workspace.

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For
Small brand and marketing teams producing logos, graphics, videos and written assets in-house
Solves
Creative work is spread across several rented tools, so brand assets, feedback and approvals live in different places and nothing is owned end to end.
Delivers
Client-approved brand assets linked to a versioned asset library
Built in
about 5 weeks of creation time, MVP in 6 days
Investment
$12,500 for the MVP, $42,500 for the full product
Run it
Inside your business, or as part of your offer to clients
01

What it does

Reduce tool sprawl and review cycles while keeping brand assets in one owned workspace.

  1. Generate logos, graphics, videos and written assets from a brief.
  2. Create logos using stated design rules.
  3. Produce custom graphics for brand or project needs.
  4. Create short videos with minimal input.
  5. Convert text to speech for voiceovers and narration.
  6. Generate articles and video scripts.
  7. Build simple chatbots for customer interactions.
  8. Craft narratives and stories.
  9. Apply customizable templates to a project.
  10. Edit text, fonts, text effects and image elements while preserving design structure.
  11. Check that output follows the input prompt in content and layout.
  12. Select complementary color schemes for brand consistency.
  13. Choose complementary font pairings for brand consistency.
  14. Organize project timelines and scheduling.
  15. Share projects with team members or clients for feedback.
  16. Export a versioned client-approved brand assets linked to a versioned asset library with source references and unresolved questions.

Everything these tools do, in one app

What goes in, what comes out

What the customer puts in
  • Brand guidelines
  • Approved references
  • Project briefs
  • Usage constraints

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

What the customer gets
  • Client-approved brand assets linked to a versioned asset library
02

How it works

The workflow

  1. In
    Start with

    Brand guidelines, approved references, project briefs and usage constraints

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect brand guidelines

  4. 3

    Approved references

  5. 4

    Project briefs and usage constraints

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Client-approved brand assets linked to a versioned asset library

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. Brand guidelines and licensed assets define the boundary; final brand and legal checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Brand 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 client-approved brand assets linked to a versioned asset library 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

Brand-owned guidelines, authorized references and permitted asset 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

    6 days

    One buyer segment, one recurring use case; first modules: generate logos, graphics, videos and written assets from a brief; create logos using stated design rules. Manual review in the loop. Built by our AI software factory.

  3. 3

    Paid pilot

    7 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 small brand and marketing teams producing logos, graphics, videos and written assets in-house use it to solve "creative work is spread across several rented tools, so brand assets, feedback and approvals live in different places 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: Approved assets per production hour and corrections after approval.
  4. Measure, then decide. Track approved 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 brand, one approved asset format set and one client review group; final brand and legal checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate logos, graphics, videos and written assets from a brief; create logos using stated design rules. 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 client-approved brand assets linked to a versioned asset library. Retain the explicit scope boundary: One brand, one approved asset format set and one client review group; final brand and legal 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 brand, one approved asset format set and one client review group; final brand and legal 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 logos, graphics, videos and written assets from a brief; create logos using stated design rules. Manual review in the loop.

    $12,500 · about 6 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.

    $12,500 · about 7 days of creation time

  3. Phase 3

    Full product

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

    $17,500 · about 3 weeks of creation time

Indicative total, MVP to full product$42,500about 5 weeks of creation time · start with the MVP from $12,500

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

Small brand and marketing teams producing logos, graphics, videos and written assets in-house run it inside the business: brand guidelines, approved references, project briefs and usage constraints in, client-approved brand assets linked to a versioned asset library 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#914127
  • accent#54bdc9
  • surface#f1e8e4
  • ink#22201e
Headings
Libre Baskerville
Text
IBM Plex Sans
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 client-approved brand assets linked to a versioned asset library. 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 and review cycles while keeping brand assets in one owned workspace. Demonstrate a concrete client-approved brand assets linked to a versioned asset library using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Small brand and marketing teams producing logos, graphics, videos and written assets in-house professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample client-approved brand assets linked to a versioned asset library from a small authorized input set, with a transparent calculation of approved assets per production hour and corrections after approval and no promised savings.

The first 30 days

  1. Week 1: interview five small brand and marketing teams producing logos, graphics, videos and written assets in-house and inspect a recent example of creative work spread across several rented tools, so brand assets, feedback and approvals live in different places and nothing is owned end to end.
  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 approved 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: Approved 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

Approved 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 client-approved brand assets linked to a versioned asset library. 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 brand 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 small brand and marketing teams producing logos, graphics, videos and written assets in-house. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Designs.ai, AI Magicx, Molypix.ai, freelancers, creative agencies and generic generation tools. Compare this product with the buyer's present method on approved 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, video or 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 client-approved brand assets linked to a versioned asset library. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve brand voice, source attribution, asset accuracy and usage permissions. Brand owners approve substantive changes and publication scope. One brand, one approved asset format set and one client review group; final brand and legal 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 6 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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