Anatomy of AI Song Creation (One Version)
How HobbyTunes Builds Songs with AI, Imagination, and a Little Trial-and-Error Magic
DRAFT
Artificial intelligence has changed the way music can be created. What once required expensive studios, session musicians, and years of technical experience can now begin with a simple idea, a keyboard, and a little patience. At HobbyTunes, we approach AI music creation as a fun creative hobby—part songwriting lab, part digital garage band, part entertainment experiment.
If you’ve ever wondered how to create your own AI-generated song, this guide walks you through one version of the process we often use. It is not the only way, but it is a practical and enjoyable method for beginners and hobbyists alike.
Whether you want to make a heartfelt ballad, a retro synth-pop anthem, a country tearjerker, or a wild comedy track, this workflow can help you get started.
Step 1: Develop the Song Idea
Every song begins with an idea. That idea can be:
- A funny situation
- A fictional story
- A memory
- A breakup
- A dream
- A political satire
- A dance-floor concept
- A character or theme
At HobbyTunes, many songs start with a single sentence. Examples:
- “A lonely robot dancing in Las Vegas.”
- “A summer romance at a carnival.”
- “A grunge song about surviving hard times.”
- “A 1980s synthwave anthem about escaping the city.”
Don’t overthink this step. Simplicity is powerful.
Step 2: Use ChatGPT to Build or Improve the Lyrics
Once you have the concept, AI can help turn it into actual lyrics.
You can ask ChatGPT things like:
- Write a catchy chorus about heartbreak
- Turn this story into a country song
- Make these lyrics sound more emotional
- Rewrite this in the style of 90s alternative rock
- Add vocal ad-libs and crowd chants
- Make it radio friendly
- Add humor and punchlines
At HobbyTunes, we often refine lyrics several times before moving forward.
Example Prompt:
“Write a highly detailed prompt for Suno AI to create a bubblegum pop breakup song that feels like a parody of a late-90s/early-2000s teen pop anthem in the style of a polished, danceable, female-led pop hit with glossy production and iconic pop attitude. The tone should be exaggerated, angry, sarcastic, and emotionally immature—like a dramatic, pissed-off teenager reacting to a breakup.
Output a single cohesive Suno prompt (no explanation). Include:
- Tempo and rhythm (BPM, upbeat/danceable feel)
- Instrumentation (bright synths, punchy drums, glossy pop textures)
- Song structure (verse, chorus, bridge, etc.)
- Vocal style (breathy, bratty, attitude-heavy, emotionally charged)
- Production style (highly polished, autotuned, layered vocals, radio-ready)
- Mood and lyrics (petty, dramatic, sarcastic, humorous breakup themes)
- Emphasize a super catchy, repetitive chorus, high-energy production, and a contrast between cheerful sound and angry lyrics.”
- Put each separate command, except for the lyrics, with brackets.”
What The Result May look Like:
[Genre: Bubblegum pop with late-90s/early-2000s teen pop influence; polished, danceable, female-led sound with glossy, radio-ready production and playful, iconic pop attitude]
[Tempo and Rhythm: 110–125 BPM; upbeat, bouncy, highly danceable groove with a sugar-rush energy; tight, punchy rhythm that feels energetic and slightly over-the-top]
[Instrumentation: Bright, shimmering synth leads; bubbly arpeggiators; punchy electronic drum kit with snappy snares and claps; crisp hi-hats; rubbery, upbeat bassline; occasional pop-style electric guitar accents; glittery sound effects and risers for transitions]
[Song Structure: Catchy intro → Verse 1 → Pre-chorus → Explosive, repetitive chorus → Verse 2 → Pre-chorus → Chorus → Short spoken or attitude-filled breakdown → Bridge with slight emotional shift → Final double chorus with ad-libs and layered vocals → Punchy outro]
[Vocal Style: Breathy yet bratty female vocal delivery; nasal, attitude-heavy tone; emotionally exaggerated and dramatic; mix of singing and talk-singing; playful sass with moments of whiny aggression; layered harmonies and background ad-libs]
[Production Style: Highly polished and glossy; heavy use of autotune for stylistic effect; tightly compressed and radio-ready mix; stacked vocal layers in chorus; stereo-width effects; crisp, clean high-end; dynamic drops and builds for maximum catchiness]
[Mood and Lyrics: Petty, sarcastic, dramatic breakup narrative; exaggerated teenage anger and immaturity; humorous insults, eye-rolling attitude, and over-the-top emotional reactions; ironic empowerment mixed with obvious bitterness; playful but clearly “mad” tone]
[Special Emphasis: Ultra-catchy, repetitive hook; high-energy, candy-coated production; strong contrast between cheerful, upbeat sound and angry, sarcastic lyrics; memorable melodic phrasing designed to feel instantly addictive]
*** Add Your Lyrics Here ***
Now, just copy and paste your prompt to the Suno Lyrics block, and add a music style to the Suno “Styles” block (which in this case, was just “Bubblegum Pop”):
As a result of following these steps, you’ll now end up with a song. Here’s what the above prompt created:
This AI-generated audio example may not yet sound fully polished or production-ready, but it demonstrates the potential of emerging audio technology. By experimenting with different audio prompts and refining input parameters, users can gradually enhance clarity and tone. Additionally, applying widely available audio mastering tools in post-production can significantly improve overall sound quality, making the final output more professional and engaging for listeners.
Step 3: Decide the Genre and Style
Now decide what the song should sound like.
Ask yourself:
- Should this be pop?
- Country?
- Grunge?
- EDM?
- Jazz?
- Metal?
- 1950s doo-wop?
- Synthwave?
- Bluegrass?
- Comedy lounge act?
Genre matters because it influences:
- Tempo
- Instrumentation
- Vocal delivery
- Emotional feel
- Production style
At HobbyTunes, genre selection is often where the song truly comes alive.
Step 4: Build the AI Music Prompt
This is where many creators gain an edge.
Instead of giving AI a vague request like:
Make a rock song
Give it details.
Better Prompt Structure:
Use separate commands in brackets. This often helps organize instructions clearly.
Example:
[Driving 90s grunge guitars]
[Punchy live drums]
[Deep bass guitar]
[Male raspy emotional vocal]
[Tempo 122 BPM]
[Quiet verse loud chorus dynamics]
[Raw analog mix]
[Big hook chorus]
[Seattle style energy]
This style of prompting can help guide the AI toward a more focused result.
Step 5: Add Advanced Production Details
Want better results? Get specific. You can ask ChatGPT to build prompts that include:
Instruments
- Fender Telecaster
- Gibson Les Paul
- Roland Juno synth
- Hammond organ
- Upright piano
- Mandolin
- 808 drums
- Orchestra strings
Amps
- Marshall stack
- Fender Twin Reverb
- Vox AC30
- Mesa Boogie
Microphones
- Shure SM58
- Neumann U87
- SM7B
- Ribbon mic warmth
Vocal Style
- Breathy pop vocal
- Aggressive punk shout
- Smooth baritone croon
- Whispered indie delivery
- Arena rock power voice
Mixing / Mastering Ideas
- Warm analog saturation
- Punchy drum bus compression
- Wide stereo synths
- Vocal forward mix
- Smooth top-end EQ
- Streaming-ready loudness
This level of detail can dramatically improve output.
Step 6: Open Suno and Generate
To create the actual song, you’ll need an account with Suno.
Once inside:
- Paste your lyrics
- Paste your music prompt
- Add your style paragraph if needed
- Generate versions
Expect variation. Some versions may be weak. Some may be weird. Then suddenly—one may be excellent.
That is part of the process.
Step 7: Keep Generating Until It Clicks
This is one of the biggest truths in AI music creation:
The first version is not always the best version.
At HobbyTunes, we often generate multiple takes.
Listen for:
- Strong vocal delivery
- Catchy chorus
- Better instrumentation
- Cleaner mix
- More emotional performance
- Better pacing
Sometimes Version #7 beats Version #1 by miles.
Persistence matters.
Step 8: Refine and Rebuild
If the result is close—but not quite there—adjust the prompt.
Examples:
- Make vocals more aggressive
- Add cleaner guitars
- Slower tempo
- More emotional chorus
- Bigger drums
- Less harsh high-end
- Female vocal instead
- More vintage analog sound
Small prompt changes can produce major improvements.
Why This Process Works
This workflow combines:
- Human imagination
- AI writing assistance
- Genre knowledge
- Prompt engineering
- Repetition
- Taste and judgment
That last one matters most.
AI can generate options. You choose what feels good.
Final Thoughts
AI song creation is not about replacing creativity—it can become a tool for creativity.
At HobbyTunes, we view it like a hobby garage studio where ideas become songs quickly, cheaply, and often surprisingly well.
Anyone can start.
All you need is:
- An idea
- A few words
- Some patience
- Willingness to experiment
And maybe a little weirdness.
Coming Next: Part 2
How to Make AI Songs Sound Better
- Better mastering
- EQ cleanup
- Vocal enhancement
- Loudness balancing
- Harshness removal
- Making tracks sound more professional
- Real-world playback optimization
Stay tuned.