Multi‑source content engine
Mix Feeds (RSS, Atom, JSON), connect API content, scrape any Page, pull live Weather, or schedule curated Music. Bind them to segments to keep your show fresh and grounded.
Generative Broadcasting & Podcasting
The new Radio Starlight lets you compose a show or serialized podcast segment‑by‑segment, bind each segment to Feeds, APIs, Pages, Weather, or Music, and steer it with your own prompt, personality, and BGM sound set for fully AI-generated content. Publish every radio episode and podcast with an open protocol.
Radio Starlight blends radio scheduling and podcasting production in one workspace, giving broadcasters, independent podcasters, and studios the tools they need to ship AI generated content that sounds consistent, timely, and on brand.
Capabilities
Mix Feeds (RSS, Atom, JSON), connect API content, scrape any Page, pull live Weather, or schedule curated Music. Bind them to segments to keep your show fresh and grounded.
Lay out segments, pick sources, and craft per‑segment prompts. Swap BGMs between segments for dynamic shows.
Use cloud LLMs like OpenAI API, or run on‑device with Apple's Foundation Models. Generate cover art and avatars.
Publish your designed program, generated broadcasts, personalities, sound sets, and the exact sources you used via the StarlightCatalogService protocol.
Sources & Models
Each segment can use a different source and a different prompt.
Availability depends on hardware/OS. And you need your own API Key if the service needs.
Share your designed program, generated broadcasts, personalities, sound sets, and even the feeds/APIs/pages/weather/music you used, via a portable, open StarlightCatalogService schema, or just archived file.
This makes your show inspectable, remixable, and discoverable.