If you’ve ever stared at a blank DAW timeline for too long, you know the feeling. Ideas don’t always come when you want them to. Over the past year, I’ve been experimenting with different AI tools to help with that exact problem—especially things like an AI Background Music Generator and a Chord Progression Generator.
This isn’t a “this will change your life” kind of post. It’s more like: here’s what actually worked for me, what didn’t, and a few small things I learned along the way.
Starting with Nothing Is the Hardest Part
For me, the biggest bottleneck in music production isn’t mixing or sound design—it’s starting.
That’s where AI tools came in. I first tried an AI Background Music Generator just to create rough ideas. Not polished tracks, just something to react to. And surprisingly, that alone removed a lot of friction.
Instead of asking “what should I make?”, I started asking “how can I tweak this?”
That shift matters more than I expected.
Using AI Background Music as a Sketch, Not a Final Track
One mistake I made early on was expecting too much from AI outputs.
AI-generated background music is usually structurally decent but emotionally flat. It gives you:
- Basic rhythm patterns
- Safe harmonic movement
- Predictable arrangement
At first, I thought that was a downside. But now I treat it like a sketch layer.
I’ll take a generated loop and:
- Replace the main instrument
- Add swing or human timing
- Change drum patterns completely
- Cut and rearrange sections
It becomes less about using AI output, and more about reshaping it.
Chord Progression Generator: Surprisingly Useful for Breaking Habits
I didn’t expect much from chord tools, but this is where things got interesting.
I tend to default to the same progressions. You probably know the type:
- I–V–vi–IV
- ii–V–I loops
- minor variations of the same structure
A Chord Progression Generator helped me step outside that loop.
Sometimes it gives weird or unusable sequences. But occasionally, you get something like:
- Non-diatonic transitions
- Unexpected minor/major shifts
- Modal interchange ideas
Those moments are valuable.
If you’re curious about the theory behind this, I found this explanation of chord relationships helpful:
https://www.musictheory.net/lessons/21
It breaks down how chords function in a key, which makes it easier to understand why some AI-generated progressions feel “off” but still interesting.
What I Learned About Music Theory (Without Trying to Study It)
Using these tools actually pushed me to understand more theory, even though that wasn’t my goal.
For example, when something sounded wrong, I’d try to figure out why.
That led me to basic concepts like:
- Diatonic vs non-diatonic chords
- Tension and resolution
- Voice leading
I also came across this MIT resource on harmony.
It’s more academic, but even skimming parts of it helped me connect what I was hearing with actual structure.
Where AI Still Falls Short
There are a few things AI tools still struggle with:
1. Emotional direction
AI doesn’t “decide” where a track should go emotionally. It just continues patterns.
2. Dynamic variation
Most outputs feel too consistent. Real music needs contrast.
3. Sound selection
Even when the composition is okay, the sounds are often generic.
Because of that, I never export and publish directly from AI. It’s always part of a workflow, not the endpoint.
A Small Workflow That Works for Me
This is roughly how I use AI now:
- Generate a rough idea (background music or chords)
- Extract one usable part (not everything)
- Rebuild around it manually
- Add variation and imperfections
- Replace sounds entirely
It’s a mix of automation and control.
I’ve also tried different tools along the way—one of them being OpenMusic AI—but honestly, the specific tool matters less than how you use it.
Final Thoughts: It’s Not About Replacing Creativity
I used to think AI in music was either:
- cheating, or
- a shortcut to finished tracks
Now I see it differently.
It’s closer to:
- a brainstorming partner
- a pattern generator
- a way to get unstuck
Some days I don’t use it at all. Other days, it helps me start something I wouldn’t have made otherwise.
And that’s enough.
If you’re experimenting with AI music tools, I’d say don’t try to make full tracks with them. Just use them to break your own patterns. That’s where they’re actually useful.
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