Radio Starlight is a generative broadcasting and podcasting tool that lets users compose shows or serialized podcast segments, bind each segment to various sources (Feeds, APIs, Pages, Weather, or Music), and steer content with custom prompts, personality, and background music sets. The tool blends radio scheduling and podcast production in one workspace, targeting broadcasters, independent podcasters, and studios. It supports cloud LLMs like OpenAI API or on-device Apple Foundation Models for text and image generation, and offers an open publishing protocol (StarlightCatalogService) for sharing programs, broadcasts, personalities, sound sets, and sources.
Key Features
- Multi-source content engine: Mix RSS/Atom/JSON feeds, API content, web pages, live weather, and curated music per segment.
- Manual program designer: Lay out segments, pick sources, and craft per-segment prompts with dynamic BGM.
- Generative AI options: Use cloud LLMs (OpenAI API) or on-device Apple Foundation Models for text and images.
- Open publishing protocol: Publish designed programs, generated broadcasts, personalities, sound sets, and sources via the StarlightCatalogService.
Who It’s For
Broadcasters, independent podcasters, and studios looking to automate and distribute AI-generated radio and podcast content.
