Since 1988, Berklee College of Music’s Danny Morris has been a fixture in the school’s performance division, training thousands of bass players with his trademark warmth, rigor, and creativity. As one of Moises’ longest-standing faculty collaborators, he’s seen firsthand how AI tools can enhance both personal practice and classroom instruction.
Moises is like Music Minus One... on steroids.
Reflecting on his own training as a trumpet player, Morris compares Moises to the classic “Music Minus One” records used to practice soloing over rhythm sections. The ability to isolate, slow down, loop, and customize tracks on-demand has opened up new doors for his students - particularly those in performance settings where nuance, groove, and listening are everything.
A Tool for Shedding, Teaching, and Listening
Whether he’s shedding on his own or leading a classroom session, Morris regularly uses Moises to deepen musical listening. “I use it in the classroom, and I use it for shedding on my own - for learning,” he explains. The flexibility of the platform allows him to tailor exercises for students at all levels while modeling a growth-oriented mindset.
This has become especially powerful in one-on-one lessons, where students can isolate the bass, mute it, and then play along with the full band - getting immediate, immersive feedback on how they sit in the groove.
What Educators Can Learn
Danny Morris’ approach is a reminder that AI tools don’t have to feel abstract or overly technical - they can be musical, immediate, and deeply intuitive. For performance faculty especially, Moises provides a way to bring real-world tracks into the classroom while empowering students to experiment, transcribe, and lock in more deeply with the music.
About Danny Morris
Daniel Morris is a longtime faculty member at Berklee College of Music, where he has spent decades teaching and mentoring students in the Performance Division, with a focus on bass and contemporary musicianship. Known for his practical, student-centered approach, he integrates modern tools into his teaching to help musicians develop both technical skill and musical intuition.
As a collaborator with Moises, Daniel has incorporated the platform into his classroom and personal practice, using its AI-powered stem separation and playback tools to help students isolate parts, analyze arrangements, and engage more deeply with music. He also recently served as a judge for Moises’ Jam Sessions series with Charlie Puth, offering his expertise to evaluate submissions from our global community of artists.
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