Mcaster1Studio
Broadcast automation suite with local-AI workflow assistance. Ollama-powered playlist scheduling, media-library analysis, weather-aware show prep, and listener-demographic predictions — all running on-prem.
AI Features in Mcaster1Studio
AI Playlist Scheduling
Dynamic rotation builder that analyses your library, listener history, and time-of-day patterns. Outputs broadcast-ready clocks.
Library Auto-Tagging
Genre classification, BPM extraction, mood tagging, and deduplication across your full media library — powered by local LLMs.
Weather-Aware Show Prep
Built-in weather widget feeds context to the AI assistant for hyper-local show prep, traffic mentions, and event tie-ins.
15 Built-in AI Personas
From rock DJ to NPR-style host to sports commentator. Switch personality for different show surfaces (Radio, Podcast, Church, Sports).
Multi-DB Backed
MariaDB, PostgreSQL, Firebird, MSSQL, SQLite/SQLCipher — same AI features regardless of your library backend.
Air-Gap Friendly
Ollama runs locally. Works fully offline once models are loaded. Ideal for studios on isolated broadcast networks.