About the work
“This work was created using AI-assisted tools and Python language under the direction of a human author. The concept, creative vision, prompt design, output selection, lyrical composition, structural arrangement, and final mixing/mastering were all performed by the human creator.” Prompts or commands used:
Percussionless dream pop ballad with airy female vocals, female chorus, synth swells, ambient guitars, gentle sax fills, romantic but bittersweet, nighttime travel feel
Lyrics
Car lights fade like falling stars
Windows show the world in scars
Every station’s a quiet sigh
Every mile we say goodbye
Last train out tonight
Rolling past the summer light
Every shadow holds your name
But the season’s not the same
** Conclusive Summary and complete analysis performed using Python language**
Genre Dream Pop / Ambient / Synth-pop — Hours taken to complete: 12
Conclusive summary: A percussion-light dream-pop ballad for night travel: airy female lead with supporting female chorus over synth swells and ambient guitars, warmed by gentle sax interludes. The human brief precisely constrained mood (“romantic but bittersweet”), pace (slow), and instrumentation (pads, ambient guitars, sax, soft keys), while also embedding section and performance cues in the lyric plan. Although the aesthetic is “percussionless,” a barely-there low kick pulse functions as a felt heartbeat rather than a rhythmic groove, preserving the floating texture. Suno realized arrangement and timbral layering according to both style-prompting and lyric-prompting directives (accounted for here but not reproduced). After rendering, the piece received two hours of DAW remix and masterisation at TuneCore to refine tonal balance, spatial depth, and delivery headroom. Calculations below incorporate the influence of both the style prompts and the lyric/performance prompts while withholding their text, as requested.
Total time taken to complete: 12 hours
Time breakdown (for calculation):
• Concept & vision + detailed style/lyric prompt design: 5 hours
• Suno generation & iteration (renders, selection, fine re-prompting): 5 hours
• DAW remix & masterisation at TuneCore: 2 hours
Overall Human vs AI intervention (time-weighted across phases):
• Human: 58%
• AI: 42%
Safe Creative sliders (for registration):
• Work Concept & Vision — Human: 92% | AI: 8%
• Creative Direction (stylistic detailing, lyric structure & performance cues, instrumentation and spatial guidance) — Human: 73% | AI: 27%
• Production (arrangement rendering, sound design/layering, remix/master) — Human: 40% | AI: 60%
Notes considered in the calculation:
• Style prompting defined instrumentation, nocturnal travel mood, slow tempo, and reverb-rich space; credited under human Creative Direction.
• Lyric-prompting with section/performance cues guided phrasing, contour, and dynamics; accounted for without reproducing the text.
• Suno’s role is classified under Production (arrangement/rendering), while the two hours of DAW remix and masterisation at TuneCore are credited to Human Production.
• Category sliders are not simple averages of the overall split; they reflect stronger human authorship in concept/direction and significant AI participation in production/rendering for this workflow.
Copyright registered declarations
Consolidated inscription:
Copyright infringement notifications:
0
Contact
Consolidated inscription:
Copyright infringement notifications:
0
Contact
Consolidated inscription:
Copyright infringement notifications:
0
Contact
Notify irregularities in this registration
AI Availability Declaration
The work is allowed to be accessed by AI systems.
Creativity declaration
AI tools have been used in the following phases and %
|
AI |
Human |
| Concept and vision of the work |
|
| Creative direction |
|
| Production |
|
This work may be perceived as informative or factual, but it is fiction.
Print work information
Work information
Title Last Train Out
“This work was created using AI-assisted tools and Python language under the direction of a human author. The concept, creative vision, prompt design, output selection, lyrical composition, structural arrangement, and final mixing/mastering were all performed by the human creator.” Prompts or commands used:
Percussionless dream pop ballad with airy female vocals, female chorus, synth swells, ambient guitars, gentle sax fills, romantic but bittersweet, nighttime travel feel
Lyrics
Car lights fade like falling stars
Windows show the world in scars
Every station’s a quiet sigh
Every mile we say goodbye
Last train out tonight
Rolling past the summer light
Every shadow holds your name
But the season’s not the same
** Conclusive Summary and complete analysis performed using Python language**
Genre Dream Pop / Ambient / Synth-pop — Hours taken to complete: 12
Conclusive summary: A percussion-light dream-pop ballad for night travel: airy female lead with supporting female chorus over synth swells and ambient guitars, warmed by gentle sax interludes. The human brief precisely constrained mood (“romantic but bittersweet”), pace (slow), and instrumentation (pads, ambient guitars, sax, soft keys), while also embedding section and performance cues in the lyric plan. Although the aesthetic is “percussionless,” a barely-there low kick pulse functions as a felt heartbeat rather than a rhythmic groove, preserving the floating texture. Suno realized arrangement and timbral layering according to both style-prompting and lyric-prompting directives (accounted for here but not reproduced). After rendering, the piece received two hours of DAW remix and masterisation at TuneCore to refine tonal balance, spatial depth, and delivery headroom. Calculations below incorporate the influence of both the style prompts and the lyric/performance prompts while withholding their text, as requested.
Total time taken to complete: 12 hours
Time breakdown (for calculation):
• Concept & vision + detailed style/lyric prompt design: 5 hours
• Suno generation & iteration (renders, selection, fine re-prompting): 5 hours
• DAW remix & masterisation at TuneCore: 2 hours
Overall Human vs AI intervention (time-weighted across phases):
• Human: 58%
• AI: 42%
Safe Creative sliders (for registration):
• Work Concept & Vision — Human: 92% | AI: 8%
• Creative Direction (stylistic detailing, lyric structure & performance cues, instrumentation and spatial guidance) — Human: 73% | AI: 27%
• Production (arrangement rendering, sound design/layering, remix/master) — Human: 40% | AI: 60%
Notes considered in the calculation:
• Style prompting defined instrumentation, nocturnal travel mood, slow tempo, and reverb-rich space; credited under human Creative Direction.
• Lyric-prompting with section/performance cues guided phrasing, contour, and dynamics; accounted for without reproducing the text.
• Suno’s role is classified under Production (arrangement/rendering), while the two hours of DAW remix and masterisation at TuneCore are credited to Human Production.
• Category sliders are not simple averages of the overall split; they reflect stronger human authorship in concept/direction and significant AI participation in production/rendering for this workflow.
Work type Music
Tags album metropolis arising
-------------------------
Registry info in Safe Creative
Identifier 2509083017311
Entry date Sep 8, 2025, 2:48 PM UTC
License All rights reserved
-------------------------
Copyright registered declarations
Author - Composer 100.00 %. Holder Henry Mockford. Date Sep 8, 2025.
Author - Lyricist 100.00 %. Holder Henry Mockford. Date Sep 8, 2025.
Author - Song producer 100.00 %. Holder Henry Mockford. Date Sep 8, 2025.
Information available at https://www.safecreative.org/work/2509083017311-last-train-out
/
Registration: 2509083017311
