Managed multi-model visual production workbench

For

Creative teams and marketing departments producing images, video and design assets in-house

Solves

Visual production is spread across several rented generation, editing and writing tools, so assets, brand rules and review history sit in different accounts.

Delivers

Reviewed visual assets and brand systems linked to named-owner approvals

Built in

about 6 weeks of creation time, MVP in 7 days

Investment

$14,500 for the MVP, $49,500 for the full product

Run it

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

Consolidate generation, editing, brand control and review into one owned workspace.

1. Generate images from text prompts.
2. Generate video from text prompts.
3. Edit visuals in real time on canvas.
4. Upscale images to higher resolution.
5. Generate patterns and visual illusions.
6. Apply style references from example images.
7. Export at high native resolution.
8. Suggest written copy in the user's style.
9. Check grammar and spelling with context.
10. Generate content ideas to unblock writers.
11. Apply templates for blogs, emails and reports.
12. Support multi-user real-time collaboration.
13. Run fully in the browser.
14. Edit through conversational dialogue.
15. Route requests across multiple AI models.
16. Generate logos, packaging, ads and store concepts from one prompt.
17. Build cohesive brand systems across media.
18. Customize elements with a drag-and-drop editor.
19. Produce design variations in one click.
20. Suggest gradients, layouts and styles.
21. Provide a library of templates, icons, fonts and shapes.
22. Guide users through an adaptive creative workflow.
23. Optimize art for specific design contexts.
24. Connect to ecommerce and design projects.
25. Meter usage with credits and flexible plans.
26. Draw hand-drawn style diagrams on an infinite canvas.
27. Generate diagrams from code snippets.
28. Show code editor and canvas side by side.
29. Test text generation interactively.
30. Adjust tone, length and creativity settings.
31. Preview AI text in real time.
32. Offer a free tier to start.

Everything these tools do, in one app

• AI image generation Creates images from text prompts or simple inputs using artificial intelligence.Found in Krea, Krea 1, Imagine with Meta AI and 4 more
• AI video generation Creates videos from text prompts using artificial intelligence.Found in Krea
• Real-time editing Allows users to make and see adjustments to visuals immediately as they work.Found in Krea, Kira.art, Playground
• Image upscaling Enhances and increases the resolution of images using AI technology.Found in Krea, Krea 1
• Pattern generation Generates AI patterns and visual illusions from simple inputs.Found in Krea
• Style reference Lets users guide the aesthetic of generated images by providing example images.Found in Krea 1
• High-resolution output Produces images at high native resolution with options to upscale further.Found in Krea 1
• Text content suggestions Provides AI-powered suggestions for written content that adapt to the user's writing style.Found in Mindtown AI
• Grammar and spell check Checks grammar and spelling in real time with contextual recommendations.Found in Mindtown AI
• Idea generation Helps users overcome writer's block by generating ideas.Found in Mindtown AI
• Customizable templates Offers templates for various content types such as blogs, emails, and reports.Found in Mindtown AI, Rustic AI
• Collaboration Allows multiple users to share and edit documents or sketches together in real time.Found in Mindtown AI, Drawsy
• Web-based access Runs entirely in a web browser without requiring installation.Found in Imagine with Meta AI
• Conversational interface Enables creating and editing images through natural language dialogue instead of traditional prompts or toolbars.Found in Kira.art
• Multi-model integration Integrates multiple AI models to deliver results tailored to different creative requests.Found in Kira.art, Playground
• Multi-asset design generation Generates a variety of design assets like logos, packaging, websites, ads, and store concepts from a single prompt.Found in Genspark AI Designer
• Brand system creation Produces cohesive brand systems to ensure visual consistency across different media.Found in Genspark AI Designer
• Drag-and-drop editor Provides a visual editor for easy customization of each design element.Found in Rustic AI
• Design variations Generates multiple design variations with one click to explore different looks.Found in Rustic AI
• AI design suggestions Offers smart AI suggestions for gradients, layouts, and styles to enhance designs.Found in Rustic AI
• Asset library Provides access to a free library of templates, icons, fonts, and shapes for diverse projects.Found in Rustic AI
• Guided creative workflow Guides users through the creative process with a workflow that adapts to individual input.Found in Smart Palette
• Context-aware optimization Optimizes art production to match specific design contexts.Found in Smart Palette
• Ecommerce integration Offers integration options suitable for ecommerce and design projects.Found in Smart Palette
• Credit-based pricing Uses a credit system with flexible pricing plans for generating artwork.Found in Smart Palette
• Hand-drawn diagramming Creates diagrams with a hand-drawn, sketch-like appearance on an infinite canvas.Found in Drawsy
• Code-to-diagram generation Generates diagrams from code snippets using AI.Found in Drawsy
• Side-by-side code and canvas Displays a code editor and the resulting canvas side by side for easy reference.Found in Drawsy
• Interactive text generation Allows real-time input and output for testing and refining text generation.Found in Playground
• Adjustable response settings Lets users adjust settings for tone, length, and creativity of AI responses.Found in Playground
• Real-time preview Shows a real-time preview of AI-generated text for immediate feedback.Found in Playground
• Free tier Offers a free option to get started and explore core features without initial cost.Found in Krea, Krea 1, Mindtown AI and 6 more

What goes in, what comes out

The workflow

1. In
   Start with

   Approved brand references, prompt libraries, asset templates and review rules

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect approved brand references

4. 3

   Prompt libraries

5. 4

   Asset templates and review rules

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed visual assets and brand systems linked to named-owner approvals

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 brand guideline set and licensed asset library; 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 and reference setup, Editable production canvas, Client proof and delivery. Use a thumbnail gallery for projects, a large central editing canvas, and a right-hand panel for prompts, 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 reviewed visual assets and brand systems linked to named-owner approvals 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 asset libraries, authorized stock and font sources 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.

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 images from text prompts; generate video from text prompts. 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 creative teams and marketing departments producing images, video and design assets in-house use it to solve "visual production is spread across several rented generation, editing and writing tools, so assets, brand rules and review history sit in different accounts"?
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 brand review.
4. Measure, then decide. Track accepted assets per production hour and corrections after brand review; 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 brand guideline set and licensed asset library; final brand and legal checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate images from text prompts; generate video from text prompts. Support the third module with operator review: edit visuals in real time on canvas. 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 visual assets and brand systems linked to named-owner approvals. Retain the explicit scope boundary: One fixed brand guideline set and licensed asset library; 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 fixed brand guideline set and licensed asset library; final brand and legal checks remain human.

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 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 reviewed visual assets and brand systems linked to named-owner approvals. 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

Consolidate generation, editing, brand control and review into one owned workspace. Demonstrate a concrete reviewed visual assets and brand systems linked to named-owner approvals using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Creative teams and marketing departments producing images, video and design 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 reviewed visual assets and brand systems linked to named-owner approvals from a small authorized input set, with a transparent calculation of accepted assets per production hour and corrections after brand review and no promised savings.

The first 30 days

1. Week 1: interview five creative teams and marketing departments producing images, video and design assets in-house and inspect a recent example of visual production spread across several rented generation, editing and writing tools.
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 brand review, 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 brand review. 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 brand review; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs reviewed visual assets and brand systems linked to named-owner approvals. 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, brand 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 creative teams and marketing departments producing images, video and design assets in-house. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Krea, Krea 1, Mindtown AI, Imagine with Meta AI, Kira.art, Genspark AI Designer, Rustic AI, Smart Palette, Drawsy and Playground. Compare this product with the buyer's present method on accepted assets per production hour and corrections after brand review. 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 reviewed visual assets and brand systems linked to named-owner approvals. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, asset accuracy and usage permissions. Brand owners approve substantive changes and publication scope. One fixed brand guideline set and licensed asset library; 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.