
Managed visual generation and review studio
Reduce tool sprawl and review cycles while keeping one owned visual workflow.
- For
- Creative teams and independent creators producing campaign and social visuals
- Solves
- Visual production is split across several rented generation tools, so assets, styles, rights and review states live in different places.
- Delivers
- Reviewer-approved image and video assets linked to campaign briefs
- 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
What it does
Reduce tool sprawl and review cycles while keeping one owned visual workflow.
- Generate images from text descriptions.
- Generate videos from text prompts.
- Animate supplied still images into short videos.
- Edit and customize generated images.
- Apply approved style and filter presets.
- Interpret complex multi-part prompts.
- Synchronize lip movements in talking-head clips.
- Animate characters with approved filters.
- Select from a managed model library.
- Expose generation through an API.
- Route heavy jobs to faster processing.
- Apply the buyer's creator license terms.
- Upscale approved images.
- Apply the buyer's content policy settings.
- Reconstruct 3D face and body references.
- Automate repeatable editing tasks.
- Remove backgrounds in one step.
- Erase unwanted elements.
- Convert landscape video to portrait.
- Embed traceable watermarks.
- Share approved work in a private showcase.
- Select approved characters, activities and locations.
Everything these tools do, in one app
- Text-to-Image Generation Create images from text descriptions.Found in DomoAI, KLING AI, Runware and 2 more
- Text-to-Video Generation Create videos from text prompts.Found in KLING AI, Kling 1.6, Chromox and 1 more
- Image-to-Video Animation Convert static images into dynamic videos.Found in DomoAI, Kling 1.6, Chromox
- Image Editing and Manipulation Edit and customize generated images.Found in Runware, Seede AI
- Style and Filter Options Choose from many artistic styles and filters.Found in DomoAI, KLING AI, Pirate Diffusion and 1 more
- Advanced Prompt Understanding Accurately interpret complex text prompts.Found in KLING AI, Google Imagen 3
- Video Lip-Sync Synchronize lip movements in generated videos.Found in KLING AI
- Character Animation Animate characters with AI-powered filters.Found in DomoAI
- Extensive Model Library Access a large collection of AI models.Found in Runware
- API Integration Integrate generation capabilities into applications via API.Found in Runware
- Custom Hardware Use custom hardware for faster processing.Found in Runware
- Creator-Friendly License Use generated images without royalty fees.Found in Pirate Diffusion
- Upscaling Increase image resolution.Found in Pirate Diffusion, Seede AI
- Uncensored AI Outputs Generate images without content restrictions.Found in Pirate Diffusion
- 3D Face and Body Reconstruction Create realistic 3D models of faces and bodies.Found in Kling 1.6
- Automated Editing Automate complex editing tasks.Found in Kling 1.6
- Background Removal Remove backgrounds from images with one click.Found in Seede AI
- Magic Eraser Remove unwanted elements from images.Found in Seede AI
- Video Format Conversion Convert landscape videos to portrait format.Found in Seede AI
- Watermarking Embed imperceptible watermarks for traceability.Found in Google Imagen 3
- Community Showcase Share and explore creations from other users.Found in Chromox
- Customizable Elements Select characters, activities, and locations to generate art.Found in ARTi
What goes in, what comes out
- Licensed reference assets
- Brand rules
- Prompts
- Usage permissions
AI drafts, people review. Visual production platform with managed creative review.
- Reviewer-approved image
- Video assets linked to campaign briefs
How it works
The workflow
- InStart with
Licensed reference assets, brand rules, prompts and usage permissions
- 1
Confirm the buyer's problem and scope
- 2
Collect licensed reference assets
- 3
Brand rules
- 4
Prompts and usage permissions
- 5
Then follow this sequence: 1
- OutFinish with
Reviewer-approved image and video assets linked to campaign briefs
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 reference library; final creative direction and rights 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 reviewer-approved image and video assets linked to campaign briefs 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
Buyer-owned asset libraries, brand guideline documents 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.
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
Scoping call
Day 1Thirty 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
MVP
7 daysOne buyer segment, one recurring use case; first modules: generate images from text descriptions; generate videos from text prompts. Manual review in the loop. Built by our AI software factory.
- 3
Paid pilot
8 daysAccounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- 4
Full product
3 weeksSelf-serve onboarding, billing, monitoring and the wider integration set.
- 5
Run and improve
MonthlyWe 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.
- Pick the riskiest assumption. Here: will creative teams and independent creators producing campaign and social visuals use it to solve "visual production is split across several rented generation tools, so assets, styles, rights and review states live in different places"?
- Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
- Run a paid pilot. Agree quality and outcome thresholds before the pilot using this measure: Approved assets per production hour and corrections after creative approval.
- Measure, then decide. Track approved 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 reference library; final creative direction and rights checks remain human. Implement one approved input format, a bounded representative case set and the first two task modules: generate images from text descriptions; generate videos from text prompts. Support the third module with operator review: animate supplied still images into short videos. 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 reviewer-approved image and video assets linked to campaign briefs. Retain the explicit scope boundary: One approved brand style set and licensed reference library; final creative direction and rights 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 reference library; final creative direction and rights checks remain human.
Investment
A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.
- Phase 1
MVP
One buyer segment, one recurring use case; first modules: generate images from text descriptions; generate videos from text prompts. Manual review in the loop.
- Phase 2
Paid pilot
Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.
- Phase 3
Full product
Self-serve onboarding, billing, monitoring and the wider integration set.
Indicative total, MVP to full product$49,500about 6 weeks of creation time · start with the MVP from $14,500
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.
| Stage | Hosting and infrastructure | AI usage | Total 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 |
Run it or resell it
For your own team
Creative teams and independent creators producing campaign and social visuals run it inside the business: licensed reference assets, brand rules, prompts and usage permissions in, reviewer-approved image and video assets linked to campaign briefs out, reviewed by your people.
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
#915827 - accent
#5489c9 - 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 video, 3D or specialist design separately. These are test prices, not market benchmarks. Package the initial sale as one bounded reviewer-approved image and video assets linked to campaign briefs. 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 workflow. Demonstrate a concrete reviewer-approved image and video assets linked to campaign briefs using the buyer's approved example and show the baseline, corrections and actual delivery effort.
Where to find buyers
Creative teams and independent creators producing campaign and social visuals professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.
Lead magnet
A reviewed sample reviewer-approved image and video assets linked to campaign briefs from a small authorized input set, with a transparent calculation of approved assets per production hour and corrections after creative approval and no promised savings.
The first 30 days
- Week 1: interview five creative teams and independent creators producing campaign and social visuals and inspect a recent example of visual production split across several rented generation tools, so assets, styles, rights and review states live in different places.
- Week 2: prepare a consented or synthetic demonstration of the three task modules.
- Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
- Week 4: measure approved 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: Approved 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
Approved 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 reviewer-approved image and video assets linked to campaign briefs. 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 creative teams and independent creators producing campaign and social visuals. Repeatable delivery and useful integrations matter more than access to a base model.
Alternatives and positioning
DomoAI, KLING AI, Runware, Pirate Diffusion, Kling 1.6, Seede AI, Google Imagen 3, Chromox, ARTi and Haiper 2.0, plus 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 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 reviewer-approved image and video assets linked to campaign briefs. Track cost per accepted output, including correction work, unsuccessful cases and support.
Safeguards
Preserve brand voice, source attribution, likeness permissions and usage rights. Buyers approve substantive changes and publication scope. One approved brand style set and licensed reference library; final creative direction and rights checks remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.