Managed AI visual production workbench

For

Creative teams and studios producing campaign visuals and short video at volume

Solves

Visual production is split across several rented AI tools, so prompts, assets, styles and approvals live in different places and nothing is owned.

Delivers

Reviewed, brand-consistent image and video assets with provenance

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

Reduce tool sprawl and review cycles while keeping one owned visual pipeline.

1. Generate video clips from text prompts.
2. Animate static images into video clips.
3. Generate images from text or other inputs.
4. Offer selectable model variants for quality or speed.
5. Produce 1080p or higher output.
6. Set clip lengths such as 4, 6 or 8 seconds.
7. Support 16:9 and 9:16 aspect ratios.
8. Apply artistic styles such as cyberpunk or oil painting.
9. Adjust lighting, weather and scene attributes.
10. Add or remove objects in existing footage.
11. Restyle uploaded video content.
12. Animate characters or convert sketches into motion.
13. Keep motion continuity across shots.
14. Extend scenes into wider environments.
15. Refine outputs with built-in editing tools.
16. Build consistent digital twin assets for campaigns.
17. Generate script and storyboard from a chat brief.
18. Create custom avatars and cloned voices.
19. Auto-generate captions.
20. Edit iteratively through plain-language requests.
21. Ground scenes in real-world knowledge.
22. Embed watermarks and provenance credentials.
23. Expose an API for workflow integration.
24. Allow open-model customization.
25. Produce continuously evolving audiovisual environments.
26. Accept text, images, audio and user actions.
27. Retain session context across a project.
28. Navigate generated worlds with WASD controls.
29. Run in the browser without local installation.

Everything these tools do, in one app

• Text-to-video generation Creates video clips from text prompts.Found in Kling 2.1, Wan 2.1, Grok Imagine 1.0 and 2 more
• Image-to-video generation Animates static images into video clips.Found in Kling 2.1, Grok Imagine 1.0, Midjourney V1 Video Model and 2 more
• Image generation Generates images from text or other inputs.Found in Kling 2.1, WM Studio
• Multiple AI model options Offers different model variants for varying quality or speed needs.Found in Kling 2.1
• High-resolution output Produces videos at 1080p or higher resolution.Found in Wan 2.1, Google Veo 3.1 Lite
• Adjustable video duration Allows setting short clip lengths like 4, 6, or 8 seconds.Found in Google Veo 3.1 Lite
• Aspect ratio support Supports common aspect ratios such as 16:9 and 9:16.Found in Midjourney V1 Video Model, Google Veo 3.1 Lite, Reloop Animation Studio
• Artistic style options Provides multiple visual styles like cyberpunk or oil painting.Found in Wan 2.1, Grok Imagine 1.0, Reloop Animation Studio
• Scene and style controls Lets users adjust lighting, weather, and other scene attributes.Found in Grok Imagine 1.0
• Object add/remove Enables adding or removing objects in existing footage.Found in Grok Imagine 1.0
• Restyling existing footage Applies new styles to uploaded video content.Found in Grok Imagine 1.0
• Character animation tools Animates characters or converts sketches into motion sequences.Found in Grok Imagine 1.0
• Motion continuity Ensures smooth transitions and consistent movement in videos.Found in Grok Imagine 1.0
• Scene extension Extends scenes to create immersive 3D environments.Found in Midjourney V1 Video Model
• Built-in editing tools Provides editing and polishing tools to refine outputs.Found in WM Studio, Reloop Animation Studio
• Digital twin capability Creates consistent visual assets for campaigns.Found in WM Studio
• Conversational creative agent Generates script and storyboard from a chat-based brief.Found in Reloop Animation Studio
• Custom avatars and cloned voices Creates personalized avatars and voice clones for videos.Found in Reloop Animation Studio
• Auto captions Automatically generates captions for videos.Found in Reloop Animation Studio
• Conversational editing Allows iterative video edits through plain language requests.Found in Gemini Omni Flash
• Knowledge grounding Uses real-world knowledge to produce consistent scenes.Found in Gemini Omni Flash
• Watermarking and provenance Embeds watermarks and credentials for content authenticity.Found in Gemini Omni Flash
• API integration Provides an API for developers to integrate into workflows.Found in Kling 2.1, Grok Imagine 1.0, Google Veo 3.1 Lite
• Open-source model Allows customization and integration by developers.Found in Wan 2.1
• Real-time world generation Produces continuously evolving audiovisual environments.Found in PixVerse R2
• Multimodal input Accepts text, images, audio, and user actions.Found in PixVerse R2, Gemini Omni Flash
• Session memory Retains interaction history and context across a session.Found in PixVerse R2
• Interactive navigation Allows moving through generated worlds with WASD controls.Found in PixVerse R2
• Browser-based experience Runs in the browser without local installation.Found in PixVerse R2

What goes in, what comes out

The workflow

1. In
   Start with

   Approved briefs, brand references, source images and footage

2. 1

   Confirm the buyer's problem and scope

3. 2

   Collect approved briefs

4. 3

   Brand references

5. 4

   Source images and footage

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Reviewed, brand-consistent image and video assets with provenance

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 set and licensed source assets; final brand, legal and publication 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 reviewed, brand-consistent image and video assets with provenance 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 libraries, stock and licensed footage sources, and publishing destinations. 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 video clips from text prompts; animate static images into video clips. 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 studios producing campaign visuals and short video at volume use it to solve "visual production is split across several rented AI tools, so prompts, assets, styles and approvals live in different places and nothing is owned"?
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 creative approval.
4. Measure, then decide. Track accepted assets per production hour and corrections after creative 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 set and licensed source assets; final brand, legal and publication checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate video clips from text prompts; animate static images into video clips. Support the third module with operator review: generate images from text or other inputs. 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, brand-consistent image and video assets with provenance. Retain the explicit scope boundary: One approved brand style set and licensed source assets; final brand, legal and publication 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 set and licensed source assets; final brand, legal and publication 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, brand-consistent image and video assets with provenance. 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 one owned visual pipeline. Demonstrate a concrete reviewed, brand-consistent image and video assets with provenance using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Creative teams and studios producing campaign visuals and short video at volume professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample reviewed, brand-consistent image and video assets with provenance from a small authorized input set, with a transparent calculation of accepted assets per production hour and corrections after creative approval and no promised savings.

The first 30 days

1. Week 1: interview five creative teams and studios producing campaign visuals and short video at volume and inspect a recent example of visual production is split across several rented AI tools, so prompts, assets, styles and approvals live in different places and nothing is owned.
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 creative 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 creative 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 creative 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, brand-consistent image and video assets with provenance. 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 studios producing campaign visuals and short video at volume. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

Kling 2.1, PixVerse R2, Wan 2.1, Grok Imagine 1.0, Midjourney V1 Video Model, WM Studio, Google Veo 3.1 Lite, Reloop Animation Studio and Gemini Omni Flash. Compare this product with the buyer's present method on accepted assets per production hour and corrections after creative 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 reviewed, brand-consistent image and video assets with provenance. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve brand voice, source attribution, likeness and usage permissions. Brand owners approve substantive changes and publication scope. One approved brand style set and licensed source assets; final brand, legal and publication checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.