1️⃣Channel 1

News with gaps of sitcoms inbetween

Channel 1 operates as a content platform featuring AI-generated sitcoms and news broadcasts, built through a multi-stage technical pipeline. The content generation begins with topic sourcing, which flows through multiple systems to create the final output. Topics originate from several sources: our AI generation, our blockchain listeners capture on-chain requests from users, and our data scrapers pull from RSS feeds and Twitter accounts to gather current events and news.

The system processes these topics through our Language Learning Model (LLM), which transforms the raw input into structured scripts. For sitcoms, the LLM generates character dialogue. For news segments, it creates broadcast-formatted scripts tailored for news anchor delivery. Each script type maintains specific formatting requirements based on the cast configuration it serves.

After script generation, our voice synthesis service processes the text. This system handles individual character lines, maintaining consistent voice profiles for each character.

The Unity game engine serves as our final rendering platform, handling both scene and script management. The scene management system controls environments for different cast configurations, managing lighting, camera systems, and character animations. Script management coordinates dialogue timing, character movements, and scene transitions, ensuring smooth content delivery. The final stage of Channel 1's pipeline involves broadcasting the Unity-generated content to viewers through OBS (Open Broadcaster Software) integration. After the Unity game engine renders the scenes with animated characters and synchronized dialogue, the content is streamed directly to the frontend interface through a dedicated streaming setup.

Our current production setup supports multiple cast configurations, including two distinct sitcom ensembles, each with their own character sets and dynamics. A dedicated news anchor handles broadcast segments, and we maintain development plans for a stand-up comedian character. This infrastructure allows our system to generate varied content while maintaining consistency in character presentation and narrative structure across different formats. The sitcom format generates episodes based on trending topics or user requests, while the news broadcast system integrates real-time news from verified sources, adapting content for broadcast-style delivery.