How AI Music Generation Changed My Creative Process

Six months ago, I was stuck in the most frustrating creative rut of my life. As someone who’s always been passionate about music but lacks traditional training, I found myself constantly hitting walls. I had melodies in my head, emotional concepts I wanted to express, but no technical skills to bring them to life. That’s when I discovered MakeBestMusic.com, and it completely transformed how I approach music creation.

The Skeptical Beginning

I’ll be honest — I was skeptical about AI-generated music. Like many people, I worried it would be soulless, generic, or somehow “cheating.” I had this romantic notion that music needed to come from years of practice, expensive equipment, and formal training. But after watching yet another YouTube tutorial about music theory that left me more confused than enlightened, I decided to give AI music generation a try.

My first experiment was simple: I wanted to create a melancholic piece that captured the feeling of walking through an empty city at 3 AM. I typed in a basic prompt describing the mood, selected a few style preferences, and hit generate. What came back was stunning — not perfect, but hauntingly beautiful in a way that genuinely surprised me.

Finding My Workflow

Over the past few months, I’ve developed a personal workflow that feels authentic to my creative process:

The Emotional Sketch: I start by writing a paragraph describing not just the genre I want, but the specific emotion or story I’m trying to tell. Instead of “make a sad song,” I’ll write something like “the feeling of nostalgia when you find an old photo of friends you’ve lost touch with.”

Iterative Refinement: The magic happens in the iterations. The first generation gives me a foundation, but I’ll often generate 5–10 variations, sometimes mixing elements or using one piece as inspiration for the next prompt. It’s like having a collaborative partner who never gets tired of trying new ideas.

Personal Touch: Here’s where I push back against the “AI is cheating” crowd — I spend hours curating, editing, and sometimes layering different generated pieces to create something that feels uniquely mine. The AI provides the technical execution, but the creative vision and curation are entirely human.

Unexpected Discoveries

What surprised me most wasn’t just the quality of the music, but how the process changed my relationship with creativity itself. Some unexpected discoveries:

Genre Blending: I stumbled into creating pieces that blend classical orchestration with lo-fi hip-hop elements — something I never would have attempted manually. The AI’s ability to seamlessly merge styles opened creative doors I didn’t even know existed.

Overcoming Perfectionism: Traditional music production can be paralyzing when you’re a perfectionist. Every note, every timing decision feels permanent. With AI generation, I became more experimental because the cost of “failure” was so low. Bad idea? Generate again. Want to try something wild? Why not?

Understanding Music Theory Through Reverse Engineering: Ironically, using AI helped me understand music theory better than years of tutorials. By generating pieces I loved and then analyzing why they worked, I started recognizing patterns, chord progressions, and structural elements organically.

The Creative Partnership

I’ve come to see my relationship with the AI music generator not as replacement, but as collaboration. I bring the human elements — emotion, context, story, curation — while the AI brings technical execution and infinite patience for experimentation. It’s like having a band mate who’s incredible at every instrument but needs me for the creative direction.

Some of my favorite pieces have emerged from happy accidents — when the AI interpreted my prompt in an unexpected way that was better than what I originally envisioned. There’s something beautifully humbling about being surprised by your own creative tools.

Beyond Personal Projects

What started as a personal creative outlet has expanded into practical applications I never expected:

Podcast Background Music: I create custom ambient tracks that perfectly match the tone of my podcast episodes

Video Projects: Having royalty-free music that’s specifically tailored to my content has been game-changing

Gifts: I’ve created personalized musical pieces for friends’ birthdays, weddings, and major life events

The Future of Accessible Creativity

Using MakeBestMusic has made me optimistic about the democratization of creative tools. We’re living in an era where technical barriers to artistic expression are crumbling. The question isn’t whether AI will replace human creativity — it’s how we’ll use these tools to amplify our uniquely human perspectives.

For someone like me, who always felt locked out of music creation by technical barriers, AI music generation isn’t about replacing musicians. It’s about expanding the definition of who gets to be musical. It’s about turning melody-humming daydreamers into actual music creators.

A Personal Recommendation

If you’re curious about AI music generation but hesitant to start, my advice is simple: approach it like any other creative tool. Don’t expect it to read your mind or create your masterpiece on the first try. Instead, think of it as an incredibly patient, technically skilled collaborator who’s ready to explore whatever weird creative corners you want to investigate.

The real magic happens when you bring your humanity to the technology — your stories, your emotions, your unique perspective on what makes music meaningful. The AI handles the rest.

Have you experimented with AI music generation? I’d love to hear about your experiences in the comments below.

This article reflects my personal experience using AI music generation tools. Your mileage may vary, but I encourage anyone curious about music creation to give it a try — you might surprise yourself.