Screenshot of the Multi-format visual production and review workspace interactive demo
Screenshot of the interactive demo, on sample data

Multi-format visual production and review workspace

Reduce tool switching and rework while keeping one approved visual version.

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For
Small product, marketing and analytics teams producing websites, written content and dashboard mockups
Solves
Visual production is split across separate website builders, writing tools and dashboard mockup tools, so teams re-enter content, lose review history and cannot keep one approved version.
Delivers
Reviewed, exportable multi-format visual package
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 switching and rework while keeping one approved visual version.

  1. Generate design templates from supplied briefs and brand inputs.
  2. Edit layouts and content by drag and drop.
  3. Assemble pages from pre-designed components and blocks.
  4. Check responsive behavior across device widths.
  5. Export clean production code for websites.
  6. Generate written content for articles, blogs and marketing copy.
  7. Apply tone and style settings for defined audiences.
  8. Offer real-time writing suggestions and grammar corrections.
  9. Connect to common writing and publishing platforms.
  10. Select from a template library for content formats.
  11. Start dashboards from a library of industry templates.
  12. Tailor designs with custom color palettes and element variations.
  13. Collect interactive comments and feedback for team collaboration.
  14. Export wireframes to BI tools such as Tableau and Power BI.
  15. Organize projects in managed workspaces.
  16. Compare the reviewed result with the recorded baseline and value assumptions.
  17. Capture corrections and named-owner approval before consequential use.
  18. Export a versioned reviewed, exportable multi-format visual package 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 assets
  • Product facts
  • Content briefs
  • Data definitions

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

What the customer gets
  • Reviewed
  • Exportable multi-format visual package
02

How it works

The workflow

  1. In
    Start with

    Brand assets, product facts, content briefs and data definitions

  2. 1

    Confirm the buyer's problem and scope

  3. 2

    Collect brand assets

  4. 3

    Product facts

  5. 4

    Content briefs and data definitions

  6. 5

    Then follow this sequence: 1

  7. Out
    Finish with

    Reviewed, exportable multi-format visual package

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 brand system and one approved data schema per workspace; final brand, factual and data checks remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Brief and brand inputs, Editable production canvas, Review and export. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for components, content, data fields and comments. Let users switch between website, written content and dashboard views of the same project. Display draft, changes requested and approved states. Provide a client preview link with comments anchored to the relevant element. Make the task-specific outcome reviewed, exportable multi-format visual package 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 asset storage, content management and publishing destinations, BI tools such as Tableau and Power BI, and common writing platforms. 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 design templates from supplied briefs and brand inputs; edit layouts and content by drag and drop. 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 product, marketing and analytics teams producing websites, written content and dashboard mockups use it to solve "visual production is split across separate website builders, writing tools and dashboard mockup tools, so teams re-enter content, lose review history and cannot keep one approved version"?
  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 rework after approval.
  4. Measure, then decide. Track approved assets per production hour and rework 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 system and one approved data schema per workspace; final brand, factual and data checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate design templates from supplied briefs and brand inputs; edit layouts and content by drag and drop. Support the third module with operator review: assemble pages from pre-designed components and blocks. 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 reviewed, exportable multi-format visual package. Retain the explicit scope boundary: One brand system and one approved data schema per workspace; final brand, factual and data 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 and data QA. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One brand system and one approved data schema per workspace; final brand, factual and data 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 design templates from supplied briefs and brand inputs; edit layouts and content by drag and drop. 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 product, marketing and analytics teams producing websites, written content and dashboard mockups run it inside the business: brand assets, product facts, content briefs and data definitions in, reviewed, exportable multi-format visual package 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#915627
  • accent#549ac9
  • surface#f1eae4
  • ink#22201e
Headings
Archivo
Text
Lora
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 multi-brand or data-heavy dashboard work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewed, exportable multi-format visual package. 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 rework while keeping one approved visual version. Demonstrate a concrete reviewed, exportable multi-format visual package using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Small product, marketing and analytics teams professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed, exportable multi-format visual package from a small authorized input set, with a transparent calculation of approved assets per production hour and rework after approval and no promised savings.

The first 30 days

  1. Week 1: interview five small product, marketing and analytics teams producing websites, written content and dashboard mockups and inspect a recent example of visual production split across separate website builders, writing tools and dashboard mockup tools, so teams re-enter content, lose review history and cannot keep one approved version.
  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 approved assets per production hour and rework 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 rework 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 rework 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 reviewed, exportable multi-format visual package. 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 systems, component sets, content styles and review examples, together with reliable delivery for a narrow production niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for small product, marketing and analytics teams producing websites, written content and dashboard mockups. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Loopple AI Website Builder, Dezbor Beta and Mokkup.ai used as separate rented subscriptions, plus manual design and writing work. Compare this product with the buyer's present method on approved assets per production hour and rework 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 and code 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 reviewed, exportable multi-format visual package. Track cost per accepted output, including correction work, unsuccessful cases and support.

06

Safeguards

Preserve brand voice, source attribution, factual accuracy and usage permissions. Named owners approve substantive changes and publication scope. One brand system and one approved data schema per workspace; final brand, factual and data 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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