Product
What wavebird is: the ad layer for GenAI products
wavebird is infrastructure for ad-funded GenAI. It gives product teams a controlled way to connect sponsored placements to AI experiences without letting advertising leak into model behavior.
Product control stays with the app team
Your team decides which surfaces can carry sponsored placements, how they are disclosed, and how the user experience should behave. wavebird does not replace your product UX.
wavebird handles infrastructure, not model output
wavebird covers market connectivity, proof, billing signals, and rollout controls. Sponsored delivery stays separate from prompt handling and model responses.
Trust boundaries stay explicit
Prompt access stays restricted, model output stays independent, and optional measurement stays consent-gated. Those boundaries are part of the product definition, not just a policy note.
wavebird.ai extends the rollout path
Use this page to understand the chat-side product boundaries, sponsored delivery model, and trust constraints. wavebird.ai extends that path with SDK evaluation, glossary depth, and commercial follow-up.