CASE STUDY · AI PRODUCT
Saagas.AI: an ethical AI platform for licensed creator styles.
- Consent-firstIdentity misuse and unlicensed AI content designed out
- Fair payoutsTransparent revenue sharing for every influencer
01 · PROJECT OVERVIEW
Generative AI, with the creator in control.
Generative AI makes it easy to copy a creator's style without asking. Saagas.AI set out to do the opposite: let creators use licensed influencer styles, with the influencer's consent, protection for their identity, and a fair share of the revenue.
Brandsmashers built the product from the ground up with those principles in its architecture rather than bolted on afterwards.
- 1Influencer styles could only be used with explicit consent.
- 2Identities had to be verified and protected from misuse.
- 3Generated content had to stay within legal and licensing limits.
- 4Influencers needed a transparent, fair way to be paid.
02 · THE CHALLENGE
Making consent and compliance part of the product.
The hard part was not generating images. It was making sure every image came from a style the influencer had approved, and that everyone could see how it was used and paid for.
- PROBLEM 01Consent
Styles had to be licensed and approved before any model could use them.
- PROBLEM 02Identity protection
The platform had to prevent identity misuse and unlicensed content.
- PROBLEM 03Legal compliance
Usage had to follow licensing rules by design.
- PROBLEM 04Fair revenue
Influencers needed transparent usage tracking and payouts.
An influencer's style is their work. It should only be used with their say-so, and they should be paid for it.
03 · THE PROCESS
Consent first, then models, then transparent revenue.
- 01Built consent-driven onboarding
Influencers join through an onboarding flow with identity verification and explicit consent.
- 02Trained AI models on approved styles only
Models are trained on influencer-approved styles, so generation stays within what was licensed.
- 03Added guardrails
Guardrails are designed to keep out identity misuse and unlicensed AI content.
- 04Built revenue-sharing dashboards
Dashboards track usage and show transparent revenue sharing for every influencer.
- 05Designed for more formats
The architecture is ready to extend to video, voice and 3D avatars.
- 1→Influencer onboarding
- 2→Identity verification
- 3→Consent & licensing
- 4→Model training
- 5→Guardrails
- 6→Creator generation
- 7→Usage tracking
- 8Revenue sharing
04 · RESULTS
What changed.
Saagas.AI launched a creator platform where consent, protection and fair payment are part of how it works.
| BEFORE | AFTER |
|---|---|
| Styles copied without permission | Consent-first: only influencer-approved styles are used |
| Risk of identity misuse | Identity verification and guardrails designed in |
| No clear share for influencers | Transparent revenue sharing with usage tracking |
| Single-format product | Architecture ready for video, voice and 3D avatars |
- Trust
Influencers can see and control how their style is used.
- Compliance
Licensing and consent are enforced by the platform.
- Future-proofing
New formats can be added without a rebuild.
05 · DELIVERABLES
What we delivered.
- OnboardingConsent-driven onboarding with identity verification.
- AI modelsModels trained on influencer-approved styles.
- GuardrailsProtection against identity misuse and unlicensed content.
- Revenue dashboardsUsage tracking and revenue sharing for influencers.
- AI
- AI imagingStyle-trained models
- Trust & Safety
- Identity verificationRights protectionGuardrails
- Revenue
- Usage trackingRevenue-sharing dashboards
WHY IT WORKED
Ethics in the architecture.
Consent, identity protection and fair payment were requirements from the first sprint, not features added later. That is what lets the platform grow into new formats without weakening the promise it makes to influencers.
YOUR TURN
Building an AI product people can trust?
Brandsmashers Tech builds AI products with consent, safety and compliance designed in from day one.