AI Tool: GetMozart.ai
I’m always on the lookout for new AI-powered music creation tools - like Suno and Udio - mainly for two reasons. The first is how they impact creativity for our students and the second is how they actually generate music - and how their AI algorithms were trained. I tend to focus more on the impact on the creative process - meaning how students actually create with the tool. I strongly prefer AI tools that assist with the creative process rather than completely doing the work for the student. I was down at the University of Miami last weekend celebrating Parents Week with my younger daughter, and one of her friends named Jack was really into AI and had actually switched his major to focus on how AI can be used across a wide range of disciplines in business. We had a fantastic conversation and when he found out that I was a musician, he told me about GetMozart.ai, an AI-powered digital audio workstation (DAW) that combines the traditional features of music production software with generative AI capabilities. I love finding out about tools like this in the real world, rather than having an algorithm suggesting it to me. I checked out the site when I got home and I have to admit, I’m really impressed with it. For music educators, it presents a new opportunity to teach composition, production, and creativity in ways that are both accessible and engaging for students. The students need to engage with their AI tool throughout the creative process - one track at a time.
Unlike many conventional DAWs, GetMozart.ai integrates AI at the core of the creative process. While students can still record, mix, and edit tracks as they would in any DAW, the platform also generates melodies, harmonies, and rhythmic patterns based on simple prompts or parameters - track by track. Rather than facing a blank canvas, students can start with an AI-generated sketch and shape it into something uniquely their own. This lowers the barrier to entry for those who may not yet feel confident in their compositional skills while still giving advanced students tools for experimentation.
Other AI DAWs such as Suno and Udio focus heavily on full-song generation with minimal user input, often producing music that feels “finished” out of the box. GetMozart.ai, by contrast, leans into collaboration between human and machine. It allows students to guide the process step by step, tweaking style, mood, tempo, or instrumentation while keeping them engaged in creative decision-making.
Getting started with GetMozart.ai is relatively straightforward, even for beginners. After creating an account and logging in, users are greeted with a clean interface that resembles a traditional DAW timeline. The first step is to choose whether to start with a blank project or generate an idea. If you opt for AI assistance, the software will ask for basic parameters such as genre, mood, and tempo. Within seconds, GetMozart.ai produces a short loop or phrase that appears in the session view. For my first loop, I entered “Very funky drum beat”. I was really pleased with the results.
From here, you can drag the generated material onto tracks and begin editing. You just click on Add Loop and then enter a prompt for the next track you want to create. I entered Funky bass line. Again, I was happy with the results and I felt as thought I was generating the song myself, rather than the tool pumpiing out a finished song. Each part—melody, bassline, drums, or chords—can be re-generated, extended, or refined with additional prompts. If you like a melodic idea but want a different rhythm, you can ask the AI to adjust only that aspect. The editing tools are exactly what you’d expect from a standard DAW: MIDI piano rolls, track mixing options, effects chains, and automation lanes. Audio can also be recorded directly, allowing students to combine their live instruments or vocals with AI-created parts.
Exporting projects is simple as well. Teachers can have students submit stems or finished tracks in WAV or MP3 format, making it easy to integrate assignments into learning management systems or share them for group critique. Because the platform is browser-based, there is no need for heavy installation or expensive hardware, which makes it accessible in classroom computer labs or on students’ personal devices.
As with any AI-powered tool, there are, of course, important discussions to be had around authorship, originality, and copyright when using AI-powered tools. Educators should inlcude GetMozart.ai as part of a broader conversation about how music is made in the 21st century, helping students understand both the opportunities and the limitations of AI in creative work.
GetMozart.ai represents a new option for music educators looking to integrate artificial intelligence into their teaching. Its combination of DAW functionality and generative AI makes it versatile, approachable, and well-suited to classroom environments. Compared with other AI DAWs, its strength lies in the way it blends machine-generated ideas with hands-on student creativity.
The best part? For now at least, GetMozart.ai is completely free - though I am sure that they will monetize their Producer product soon enough. The tool is in public beta at the moment, so I recommend checking it out and seeing what you think!