WLIT’s Cory Poccia Unveils djOS™ — Patent-Pending, In Development, and Built for the Future of DJing
We’re excited to share a major WLIT.fm announcement: djOS™ — conceived and led by our own Cory Poccia (DJ Cory P) — is a next-generation, AI-powered operating system for DJs that is patent pending and actively in development.
What Is djOS™?
djOS™ is an intelligent co-pilot that unifies the entire DJ workflow — plan → perform → learn. It helps you prepare smarter setlists before the show, adapts to the room in real time while you’re performing, and then learns from what actually happened so your next set starts smarter than the last. The goal is simple: keep the artist in control while the system handles the heavy lifting.
Why It Matters
DJs juggle crate digging, requests, timelines, technical setup, client notes, and on-the-fly crowd reading — usually across disconnected tools. djOS™ brings this into one intelligent environment so you:
Spend less time prepping and more time creating.
Make sharper choices live, with context-aware suggestions when you need them.
Get better every gig, thanks to post-show insights that feed back into future planning.
The djOS™ Family (in development)
djOS™ Pulse (for DJs): The core co-pilot. Plan energy-aware crates, get real-time “what’s next” options during the set, and review post-show analytics that reveal where the room peaked and why.
djOS™ Radio (for broadcasters): AI-assisted programming and scheduling that sounds curated and on-brand across dayparts, built to optimize listener engagement without losing your station’s personality.
djOS™ Venue (for bars, clubs & hospitality): A music-and-data layer that helps operators align energy with revenue, connecting room signals to smarter programming decisions throughout the night.
djOS™ DNA: Style-modeling to capture distinctive approaches from top DJs and answer, “What would this DJ play here?” — inspiring on-brand selections while keeping the performing DJ fully in control.
How djOS™ Works on Show Day
Plan smarter. Input event details — vibe, age mix, timeline, must-plays/do-not-plays, venue notes. djOS™ returns a harmonic, BPM-aware, energy-curved plan that reflects your taste (not a rigid script).
Perform sharper. As the night evolves, djOS™ surfaces on-the-fly track ideas and reorder options that match the room’s current energy — you stay in the driver’s seat.
Learn faster. After the show, compare planned vs. played, examine peak moments, and roll those insights into your next crate.
Designed to Integrate
djOS™ is being built to play nicely with major DJ ecosystems (e.g., Serato, Rekordbox, Traktor, VirtualDJ) and to live across cloud and mobile so you can prep anywhere, perform anywhere, and sync your insights everywhere — with clean exports and minimal friction.
Who It’s For
Nightclubs & lounges: Sustain the right temperature without burning peak moments too early.
Private events & weddings: Honor must-plays, bridge generations smoothly, and keep the dance floor buzzing.
Radio & digital streams: Build personality-aware rotations that keep listeners tuned-in across shifts.
Venues & hospitality: Match musical energy to business outcomes through smarter programming decisions.
Roadmap & Principles
Artist-first: djOS™ suggests; the DJ decides.
Human + AI: Enhance creativity without replacing it.
Privacy & ethics: Built with respect for artist control, attribution, and audience trust.
Open by design: Integrations and exports that fit into your current workflow.
Status: Patent pending • In active development
Follow progress and request early access: www.djos.ai
