Generative Audio
Using AI models to generate musical elements, beats, and full compositions as raw material for DJ mixes.

A generative AI music and DJ project exploring how AI-generated audio can be structured, evaluated, and published.
djabxk is a documented exploration of how AI tools can work alongside creative direction to produce consistent, high-quality output. This isn't a product or tutorial — it's a continuous workflow where AI-generated audio is structured, selected, and published under real operational constraints.
The project focuses on generative audio, creative workflows, and systematic evaluation. The emphasis is on process design and decision-making rather than on specific tools or trends.
djabxk is an active project. It serves as a case study for applied creative AI systems and is referenced in related ABXK.AI educational materials.
Using AI models to generate musical elements, beats, and full compositions as raw material for DJ mixes.
A structured process for evaluating, filtering, and combining AI outputs into cohesive, publishable content.
Workflows and lessons from djabxk appear in ABXK.AI's masterclass content for applied generative AI.
Important: djabxk is not a product or commercial service. djabxk serves as a case study for applied creative AI systems and is referenced in related ABXK.AI educational materials.