No-code quickstart
Create a workspace, choose the standalone app surface, and test a generation-time placement with sandbox keys.
Standalone GenAI apps
Turn free generations into revenue.
Monetize writing, image, code, voice, and study tools with visual sponsored moments that appear during generation, on result screens, or after the user reviews output.
The sponsored moment
Monetize the visible AI state.
Standalone GenAI apps already contain visible moments where users wait for output, inspect a result, export a file, or decide what to do next.
Generation queues
Loading and waiting states
Result screens
Export, download, or share moments
Post-result actions
Use the generation state or result screen as the monetizable surface, with the sponsor unit clearly labeled and outside the generated artifact.
Visual sponsored moments, not rewritten AI output.
Some AI monetization approaches insert sponsored text into model output. wavebird keeps the boundary clear with visual sponsored moments that are labeled, separate, and controlled by your app.
Patent-pending generation-time sponsorship.
wavebird introduced a system for showing sponsored moments while an AI response is being generated, turning wait time into revenue without delaying or altering the answer.
Recommended setup
Start with the smallest controlled surface.
The first test should be easy to reason about: one visual slot, one timing rule, clear disclosure, and no sensitive data in the sponsor path.
Why this surface works
- Free-tier users create real inference cost, especially in image, code, voice, and study products.
- Generation time is already expected, so a labeled visual sponsor can use existing waiting time.
- Result screens hold attention without requiring any change to the generated output.
- Paid or sensitive flows can be disabled through configuration.
What stays untouched
- Generated output
- Prompt text unless explicitly configured
- User files
- User projects
- Paid workflows
- Sensitive categories
Placement judgment
Good placements versus avoid.
The difference is whether the sponsor is clearly outside the AI output and easy for the user to understand.
Good
- Sponsored banner while an image is generating.
- Native Ad beside a writing result.
- Sponsored module after a user exports or downloads a result.
Avoid
- Sponsored paragraphs inserted into generated writing.
- Ads blended into generated images, code, or voice output.
- Interruptive placements that block the user from seeing their result.
Implementation path
Server-side match, client-side render.
The product keeps orchestration and policy control. wavebird returns a placement decision, then the hosted renderer handles media and beacons.
Developer API path
Request a placement when a free generation starts, then let render.js mount the sponsor slot while generation continues.
Server-side matching
Send app surface, broad category, language, timing, and consent state. Keep prompt text off unless explicitly configured.
Client-side rendering
Place the unit in the generation queue, result screen, or post-result action area and collapse it on no-fill.
Controls
Decide where sponsorship is allowed.
The app decides surfaces, formats, labels, relevance, blocked categories, fallback behavior, and when the sponsor path is disabled.
Free-tier only rollout
Format allow-list
Sensitive category exclusions
Paid workflow opt-out
Result-screen placement
Generation-time placement
Fallback shell
Global kill switch
Related surfaces
Similar visible AI moments.
Next step
Start with one free-generation surface.
Use the existing wait state first, then expand to result screens once the placement feels natural.