Esta es la portada artística para el album musical de Olas del Tiempo, "Los colores que no escuchas"

“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: A tender, mystical instrumental inspired by traditional Irish music, Center the piece on a Celtic harp, playing flowing, melancholic melodies, Add soft Irish whistles or flutes, ambient string layers, and airy female vocals in the background, wordless and angelic, Use modal harmonies to suggest ancient lore, mist-covered hills, and distant memories, Keep the tempo slow and flowing, with no percussion, The music should feel like a sacred lullaby carried through an enchanted glen Lyrics Where the mist sleeps on the heather And the moon guards all alone, I will sing your name in silence Where the winds have softly flown. By the river’s breath I wander, With the stars beneath my feet, And the harp of olden echoes Bears the song we used to meet. In the hush of silver branches, Where the fae still guard the glen, I shall wait beyond the shadow ‘Til your soul returns again ** Conclusive Summary and complete analysis performed using Python language** Genre Ambient / Celtic Dream Pop Fusion — Hours taken to complete: 13 Conclusive summary: This composition is a tender, mystical instrumental inspired by traditional Irish music, built around a Celtic harp carrying flowing, melancholic melodies. Human creative intent established the core vision: slow tempo, modal harmonies, no percussion, with soft Irish whistles or flutes, ambient string layers, and angelic, wordless female vocals in the background. The artistic direction aimed to conjure imagery of mist-covered hills, enchanted glens, and distant memory, presented as a sacred lullaby. Lyric material was provided as thematic guidance, with poetic verses shaping mood and phrasing, though not sung directly. Suno executed arrangement, layering, and rendering based on both style and lyric cues. After rendering, the work underwent two hours of DAW remix and masterisation at TuneCore to refine tonal balance, spatial depth, and ensure release-quality output. The authorship weighting reflects strong human input in vision and direction, with AI contributing primarily to production. Total time taken to complete: 13 hours Time breakdown (for calculation): • Concept & vision + detailed style/lyric prompt design: 6 hours • Suno generation & iteration (render passes, review, refinements): 5 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 63% • AI: 37% Safe Creative sliders (for registration): • Work Concept & Vision — Human: 96% | AI: 4% • Creative Direction (stylistic detailing, lyric/poetic guidance, instrumentation, spatial/mood definition) — Human: 79% | AI: 21% • Production (arrangement rendering, sound design/layering, remix/master) — Human: 44% | AI: 56% Notes considered in the calculation: • Style prompting defined instrumentation (harp, flutes, strings, background vocals), modal harmonic direction, tempo, and atmosphere. • Lyric prompting added thematic poetic guidance, reinforcing narrative mood and phrasing decisions, though not performed literally. • Suno’s contribution falls under Production: rendering arrangements and sound textures. • Two hours of DAW remix and masterisation at TuneCore are credited to Human Production. • Category sliders emphasize human dominance in vision and direction, balanced with AI’s crucial role in production rendering.

“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: A slow, three-minute arrangement led by warm, lush piano and subtle upright bass, Soft, low female vocals gently weave through sparse, reverb-laced guitar textures, Rain sounds and faint ambient noise create atmosphere, No percussion, no vocal peaks—everything stays intimate and subdued Lyrics The rain it whispers soft to me A language only clouds can see The window fogged the world erased A fleeting calm a gentle space Falling quietly falling slow Through the cracks where the light won’t go Falling softly fading low A quiet place I’ll never know The clock it ticks but never speaks Each moment slips each one unique A shadow moves across the floor But it’s not yours it’s not yours Falling quietly falling slow Through the cracks where the light won’t go Falling softly fading low A quiet place I’ll never know If silence had a name would it call for me If stillness had a hand would it set me free The rain keeps falling and I let it be Falling quietly falling slow Through the cracks where the light won’t go Falling softly fading low A quiet place I’ll never know ** Conclusive Summary and complete analysis performed using Python language** Genre Dream Pop / Ambient Ballad — Hours taken to complete: 15 Conclusive summary: This track is a slow, three-minute arrangement anchored by warm piano and subtle upright bass, with soft low female vocals interwoven with sparse reverb-drenched guitar textures. Rain sounds and faint ambient noise create an immersive nocturnal mood. The human brief carefully dictated the atmosphere (no percussion, no vocal peaks, subdued and intimate throughout), the instrumental palette, and the lyrical narrative. Lyric prompts embedded performance guidance and phrasing cues, steering the vocal delivery and shaping the piece’s dynamic contour. Suno carried out arrangement, layering, and sound rendering in response to both stylistic and lyric directives. Post-render, the track underwent two hours of DAW remix and masterisation at TuneCore, finalizing tonal balance, ambient depth, and distribution quality. Overall authorship strongly reflects human creative leadership in concept and direction, with AI contributing substantially to production execution. Total time taken to complete: 15 hours Time breakdown (for calculation): • Concept & vision + detailed style/lyric prompt design: 7 hours • Suno generation & iteration (multiple render passes, review, fine re-prompting): 6 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 64% • AI: 36% Safe Creative sliders (for registration): • Work Concept & Vision — Human: 95% | AI: 5% • Creative Direction (stylistic detailing, lyric structure & performance cues, instrumentation and spatial guidance) — Human: 78% | AI: 22% • Production (arrangement rendering, sound design/layering, remix/master) — Human: 41% | AI: 59% Notes considered in the calculation: • Style prompts specified instrumentation (piano, upright bass, ambient guitars), strict “no percussion” and “no vocal peaks” rules, and an intimate mood. • Lyric prompting with embedded performance cues provided direction for phrasing and delivery, reinforcing human authorship of the expressive framework. • Suno’s contribution was primarily Production, translating prompts into arrangement and timbral realization. • Two hours of DAW remix and masterisation at TuneCore added significant human input to Production. • Category sliders are role-specific, emphasizing dominant human authorship in concept and direction while acknowledging AI’s critical role in production.

“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: A slow three minute long percussionless song, soft low female vocals, about a girl who sees her reflection on a shop window on a rainy night, no percussions, no yelling, keep voices low Lyrics Rain falls soft like a whispered glows But it’s just a trick the city throws Mirage city it’s all a game Nothing’s real but I call your name The streets reflect what I can’t hold This city's heart is freezing cold ** Conclusive Summary and complete analysis performed using Python language** Genre Dream Pop / Ambient — Hours taken to complete: 6 Conclusive summary: A slow, three-minute, percussionless dream-pop track centered on soft low female vocals. The creative brief defined the reflective scene of a girl seeing her image in a rain-soaked shop window at night, with instructions to avoid percussion, forceful delivery, or raised dynamics. The Suno style prompt established mood, pacing, and instrumental palette, while the lyric prompt provided narrative detail and performance cues. Suno executed arrangement and rendering, layering synth pads and vocal treatment according to the directives. After rendering, the track was refined with two hours of DAW remix and masterisation at TuneCore, balancing levels, enhancing atmosphere, and finalizing headroom. The authorship attribution therefore reflects strong human leadership in concept and direction, with AI responsible for much of the production execution. Total time taken to complete: 6 hours Time breakdown (for calculation): • Concept & vision + detailed style/lyric prompt design: 2 hours • Suno generation & iteration (render passes, review, and selection): 2 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 67% • AI: 33% Safe Creative sliders (for registration): • Work Concept & Vision — Human: 93% | AI: 7% • Creative Direction (stylistic detailing, lyric structure & performance cues, instrumentation and spatial guidance) — Human: 74% | AI: 26% • Production (arrangement rendering, sound design/layering, remix/master) — Human: 48% | AI: 52% Notes considered in the calculation: • Style prompting defined pacing, vocal timbre, atmosphere, and strict “no percussion” rule. • Lyric prompting supplied imagery, vocal performance constraints, and mood direction. • Suno’s role was primarily Production (arrangement/rendering), while DAW remix and masterisation at TuneCore added substantial human contribution to Production. • Figures are category-specific, highlighting dominant human ownership of vision and direction with AI’s main involvement in production.

“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: This ambient instrumental moves at a slow tempo, blending lush, layered synth pads and soft grand piano chords, Moody, expressive piano solos ebb and flow, supported by subtle piano motifs, Gentle rain ambience seeps throughout, crafting a romantic, melancholic atmosphere This track has no lyrics (instrumental) ** Conclusive Summary and complete analysis performed using Python language** Genre Ambient / Instrumental — Hours taken to complete: 5 Conclusive summary: This track is a slow-moving ambient instrumental that merges layered synth pads, soft grand piano chords, and expressive solo passages with subtle motifs. Gentle rain ambience threads through the arrangement, giving it a romantic, melancholic atmosphere. The human creative vision established the instrumentation palette, emotional direction, and structural contour, using the Suno style-prompt to set the sonic and atmospheric frame. As the piece is instrumental, lyric-level prompting was not present, but structural and performance elements were still embedded in the style directive. Suno executed the arrangement, layering, and rendering, while human oversight shaped the final sound through DAW remix and masterisation at TuneCore for two hours. Authorship attribution therefore shows stronger human presence in concept and direction, with AI responsible for much of the production execution. Total time taken to complete: 5 hours Time breakdown (for calculation): • Concept & vision + detailed style prompt design: 1.5 hours • Suno generation & iteration (render passes, review, and selection): 1.5 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 68% • AI: 32% Safe Creative sliders (for registration): • Work Concept & Vision — Human: 89% | AI: 11% • Creative Direction (stylistic detailing, instrumentation palette, spatial/mood guidance) — Human: 71% | AI: 29% • Production (arrangement rendering, sound design/layering, remix/master) — Human: 55% | AI: 45% Notes considered in the calculation: • Style prompting defined the slow tempo, grand piano and pad blend, solo/motif structure, and rain ambience, all credited to human Creative Direction. • No lyric prompting was applied, but the same weighting process includes the structural/mood guidance in the style-prompt. • Suno’s role is primarily Production (arrangement/rendering), while two hours of DAW remix and masterisation at TuneCore are credited to Human Production. • Figures are category-specific and not direct averages, reflecting strong human ownership of vision/direction with AI participation in production.

“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: dream pop, ambient, ethereal A very slow, soft Dream pop track starts with delicate grand piano, airy synth pads, and subtle, misty percussion, creating a spacious soundscape, Soft female vocals float ethereally above, while gentle piano swells guide smooth transitions, All parts ebb and flow, evoking a vast, wistful mood Lyrics Your words still rest between the lines Frozen in a summer time Pages turn but never close Every inked thought still glows Letters left unread Still alive inside my head Every word you never sent Is the place where my heart went Shadows fall on the empty chair And I feel your silence there Saxophone sighs in the room Filling up the quiet gloom Letters left unread Still alive inside my head Every word you never sent Is the place where my heart went ** Conclusive Summary and complete analysis performed using Python language** Genre Dream Pop / Ambient / Ethereal — Hours taken to complete: 15 Conclusive summary: This track unfolds as a very slow, soft dream-pop composition blending delicate grand piano, airy synth pads, and subtle misty percussion to form an ethereal and spacious soundscape. Human authorship established the core creative vision, including the emotional theme, instrumentation, absence of heavy rhythm, and the ebb-and-flow dynamic arc. Lyrics embedded with performance cues provided additional guidance for phrasing, sectional transitions, and expressive contour. Suno executed the arrangement, layering, and sonic rendering from both stylistic and lyric prompts (factored into authorship but not reproduced here). After rendering, the project received two hours of DAW remix and masterisation at TuneCore, finalizing tonal depth, reverb space, and headroom. The authorship profile shows human leadership in vision and direction, with AI contributing significantly during the production stage. Total time taken to complete: 15 hours Time breakdown (for calculation): • Concept & vision + detailed style/lyric prompt design: 7 hours • Suno generation & iteration (multiple render passes, selection, refinement): 6 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 65% • AI: 35% Safe Creative sliders (for registration): • Work Concept & Vision — Human: 94% | AI: 6% • Creative Direction (stylistic detailing, lyric structure & performance cues, instrumentation and spatial guidance) — Human: 76% | AI: 24% • Production (arrangement rendering, sound design/layering, remix/master) — Human: 42% | AI: 58% Notes considered in the calculation: • Style prompting established the soft piano/synth foundation, ethereal ambience, and pacing. • Lyric prompting with performance cues guided vocal delivery, piano swells, and saxophone phrasing. • Suno’s role is classified under Production (arrangement/rendering), while DAW remix and masterisation at TuneCore is credited to Human Production. • Sliders are category-specific, highlighting the human-led concept and direction versus the AI-driven production execution.

“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: Slow soft dream pop evolves from a sparse intro with gentle synth arps, gradually layering in smooth, Soft female vocals soar above as moody saxophone lines drift through, A relaxed soft electronic pulse grows in depth, no percussion, conjuring urban night moods Lyrics I walk these streets, they shimmer in rain Shadows dance under neon flame Hold on to the afterglow Where the summer used to go Lights fade out, but I stay here In the afterglow, you’re near ** Conclusive Summary and complete analysis performed using Python language** Genre Dream Pop / Ambient — Hours taken to complete: 9 Conclusive summary: A slow, percussionless dream-pop piece built around gentle synth arpeggios that gradually expand into layered textures of pads, ambient guitars, and moody saxophone lines. Soft female vocals soar above the evolving instrumentation, evoking the mood of an urban night in rainlit streets. The human creative brief clearly defined the “no percussion” constraint, emotional palette, and sonic architecture, embedding structural and performance cues directly into the lyrics. Suno rendered the arrangement, timbral layers, and sound design based on both the stylistic directives and the lyric-based guidance (accounted for here but not reproduced). Post-render, the track underwent two hours of DAW remix and masterisation at TuneCore, providing human oversight in tonal balance, dynamics, and spatial depth. The authorship weighting therefore reflects strong human leadership in vision and direction, with AI providing substantial execution in production. Total time taken to complete: 9 hours Time breakdown (for calculation): • Concept & vision + detailed style/lyric prompt design: 3.5 hours • Suno generation & iteration (render passes, selection, refinement): 3.5 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 61% • AI: 39% Safe Creative sliders (for registration): • Work Concept & Vision — Human: 91% | AI: 9% • Creative Direction (stylistic detailing, lyric structure & performance cues, instrumentation and spatial guidance) — Human: 72% | AI: 28% • Production (arrangement rendering, sound design/layering, remix/master) — Human: 38% | AI: 62% Notes considered in the calculation: • Style prompting established instrumentation (synth arps, ambient guitars, pads, sax), emotional direction, and spatial design. • Lyric prompting with sectional/performance cues informed phrasing and dynamics, strengthening human authorship in direction. • Suno’s primary role was Production (arrangement/rendering), while DAW remix and masterisation at TuneCore is credited under Human Production. • Figures are category-specific (not averaged), reflecting the distinction between conceptual ownership and production execution.

“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: A slow percussionless ambient instrumental, airy synth pads, distant electric piano, gentle moody sax phrases, slow tempo, warm analog bass, faint city traffic ambience, wistful yet comforting tone, perfect for a rooftop sunset after rain, A soft female voice echoes in the background No Lyrics (instrumental) ** Conclusive Summary and complete analysis performed using Python language** Genre Dream Pop / Ambient / Cinematic — Hours taken to complete: 5 Conclusive summary: A nocturnal, texture-first dream-pop piece crafted around spacious synth pads and ambient guitar layers, with a soft vocal presence and urban atmosphere. The human brief established the aesthetic boundaries, instrumentation palette, pacing, and spatial intent; Suno realized the arrangement and timbral layering according to those directives. As requested, calculations factor both style-prompting and any lyric/performance prompting without reproducing the prompts or lyrics. Following rendering, the work received two hours of DAW remix and masterisation at TuneCore to finalize tonal balance, depth, and delivery headroom. The authorship profile therefore skews human in concept and direction, with AI contributing materially during production/arrangement. Total time taken to complete: 5 hours Time breakdown (for calculation): • Concept & vision + detailed style/lyric prompt design: 1.5 hours • Suno generation & iteration (render passes, selection): 1.5 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 70% • AI: 30% Safe Creative sliders (for registration): • Work Concept & Vision — Human: 90% | AI: 10% • Creative Direction (stylistic detailing, lyric/performance cues, instrumentation and spatial guidance) — Human: 70% | AI: 30% • Production (arrangement rendering, sound design/layering, remix/master) — Human: 57% | AI: 43% Notes considered in the calculation: • Style prompting defined the instrumentation palette, tempo/feel, ambience, and structural evolution; credited to human Creative Direction. • Lyric/performance prompting (if applied) is accounted for under Creative Direction without reproducing text. • Suno’s role is categorized 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 ownership of concept/direction and a production phase with significant—but not dominant—human post-render intervention.

“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.

“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: dream pop, ambient, synthpop Slow dream pop unfolds with gentle, hushed female vocals drifting over dreamy synth arpeggios, Ambient guitars form lush, layered textures, evoking a hazy urban night, Occasional saxophone interludes add warmth and depth, all unfolding gracefully, with no percussion anchoring the mix Lyrics Streetlamps paint the air in gold Stories whispered, never told Windows glow in the cooling air Shadows move, but I’m still there In the city of soft shadows We are echoes in the night In the stillness after summer We are fading into light Every step a pulse of time Every glance a half-lost rhyme Hear the saxophone confess What the heart can’t quite express In the city of soft shadows We are echoes in the night In the stillness after summer We are fading into light ** Conclusive Summary and complete analysis performed using Python language** Genre Dream Pop / Ambient / Synthpop — Hours taken to complete: 14 Conclusive summary: A slow, percussionless dream-pop piece that unfolds with hushed female vocals over dreamy synth arpeggios and ambient guitars, shaded by occasional saxophone interludes to evoke a hazy urban night. The human creative brief explicitly set the aesthetic (“no drums,” evolving layers), core instrumentation (synth arps, ambient guitars, electric piano, sax), and emotional arc (melancholic city after summer), and it embedded performance/section cues within the lyric structure. Suno realized arrangement and timbral layering from these directives. After rendering, the work received two hours of DAW remix and masterisation at TuneCore to finalize tonal balance, spatial depth, and delivery headroom. Calculations below account for both the style prompts and the lyric-level prompts while withholding their text as requested. Total time taken to complete: 14 hours Time breakdown (for calculation): • Concept & vision + detailed style/lyric prompt design: 6 hours • Suno generation & iteration (renders, selection, minor re-prompting): 6 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 62% • AI: 38% Safe Creative sliders (for registration): • Work Concept & Vision — Human: 93% | AI: 7% • Creative Direction (stylistic detailing, lyric structure & performance cues, instrumentation and spatial guidance) — Human: 75% | AI: 25% • Production (arrangement rendering, sound design/layering, remix/master) — Human: 35% | AI: 65% Notes considered in the calculation: • Style prompting specified instrumentation, “no percussion,” evolving arrangement, and urban night mood; credited to human Creative Direction. • Lyric-prompting with sectional/performance cues guided phrasing and dynamics without reproducing the text here. • 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. • Sliders are category-specific (not simple averages of the overall split), reflecting strong human ownership of concept/direction and a production phase where AI performed most of the rendering 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: cinematic, dream pop, ambient A percussionless, slow cinematic, dream pop, invokes walking through a futuristic city on a lazy afternoon Lyrics Between the towers, sky turns grey Whispers tell the heat to fade away Every window holds a view Of the world I knew with you In the blue between buildings I can still see your eyes In the air where summer’s leaving I can hear our goodbyes Shadows stretch like a lazy tide Time moves slow on the other side Every echo finds its place Every street recalls your face In the blue between buildings I can still see your eyes In the air where summer’s leaving I can hear our goodbyes ** Conclusive Summary and complete analysis performed using Python language** Genre Cinematic / Dream Pop / Ambient — Hours taken to complete: 6 Conclusive summary: A percussionless, slow cinematic dream-pop piece evoking a lazy afternoon walk through a futuristic city. The human brief defined the urban mood, “no drums” constraint, evolving pads and electric piano bed, subtle orchestral lifts, and a sax-tinted outro. Style prompts and lyric-prompting (with performance cues and sectional structure) acted as concrete directives, not mere descriptions, shaping melody contour, dynamics, and spatial treatment. Suno executed the arrangement, layering, and rendering per those directives. The final took underwent two hours of DAW remix and masterisation at TuneCore to refine tonal balance, reverb fields, and headroom for distribution. Calculations below account for both style-prompting and lyric-prompting while withholding the actual prompt and lyric text as requested. Total time taken to complete: 6 hours Time breakdown (for calculation): • Concept & vision + detailed style/lyric prompt design: 2 hours • Suno generation & iteration (render passes, selection): 2 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 67% • AI: 33% 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: 72% | AI: 28% • Production (arrangement rendering, sound design/layering, remix/master) — Human: 50% | AI: 50% Notes considered in the calculation: • Style prompting covered instrumentation (pads, electric piano, orchestral undercurrent, sax), emotional arc, spatial depth, and explicit “no percussion” constraint—credited to human Creative Direction. • Lyric-prompting with staged performance cues informed phrasing and dynamics without being reproduced here. • Suno’s role is classified under Production (arrangement/rendering), while 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 a balanced share in production for this specific workflow.

“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: ambient, electronic, cinematic This slow atmospheric track features lush synth pads and electric piano weaving a dreamy urban tapestry, A cinematic orchestra subtly builds beneath, while filtered synth sweeps and echoing plucks float above deep bass swells, No percussion, only evolving layers and soft melodic fragments create an ethereal, futuristic cityscape This track has no lyrics ( instrumental) ** Conclusive Summary and complete analysis performed using Python language** Genre Ambient / Electronic / Cinematic — Hours taken to complete: 12 Conclusive summary: A slow, percussion-free urban soundscape built from lush synth pads and soft electric piano, subtly underpinned by cinematic orchestral layers and filtered synth sweeps. The human creative brief precisely defined the “no-drums, evolving layers” aesthetic, instrumentation, emotional arc (bittersweet return to the city), and mix ambience (cinematic reverb, layered harmonies). Suno rendering executed the arrangement and timbral layering per those directives. Post-render, the piece underwent two hours of DAW remix and masterisation at TuneCore to refine tonal balance, spatial depth, and headroom. Calculations below account for both style prompts and (if present) lyric prompts; for this work, the prompting was instrumental/arrangement-focused with no explicit lyric content. Total time taken to complete: 12 hours Time breakdown (for calculation): • Concept & vision development + detailed style prompt design: 5 hours • Suno generation/iteration (render passes, selection, minor 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: 88% | AI: 12% • Creative Direction (instrumentation/specs, mood, spatial/texture guidance, structural evolution) — Human: 65% | AI: 35% • Production (arrangement rendering, sound design, layering, remix/master) — Human: 30% | AI: 70% Notes considered in the calculation: • Style prompting specified instrumentation (pads, electric piano, filtered sweeps, echoing plucks), emotional brief, cinematic reverb space, “no percussion,” and evolving layered structure; credited to human Creative Direction. • No explicit lyric prompt was used; authorship weighting therefore emphasizes instrumental direction. • Suno’s role is chiefly Production (rendering/arrangement/timbre), while final DAW remix and masterisation at TuneCore are credited to Human Production. • Sliders are category-specific (not simple averages), reflecting stronger human ownership of concept/direction and stronger AI contribution in production/rendering.

“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: synth pop, dream pop, ambient 3:00 | slow synth pop with airy female vocals, soft electric piano, lush analog pads, moody sax fills, warm bass, ambient guitar swells, light electronic percussion, inspired by the wistful tone of traditional English folk melodies but reimagined in an urban dream pop setting, bittersweet feeling of returning to a city after a long holiday, cinematic reverb and layered harmonies Lyrics Early one evening, the skyline grew near Streets I once wandered quietly appear Shadows familiar, the corners I know Carry the echoes of where I won’t go Back to the city, the summer has gone Footsteps returning where memories belong Under the windows, the night starts to glow Early one evening, the river runs slow Shopfronts and lamplight, reflections in glass Moments of warmth in the faces that pass Saxophone whispers through alleys of rain Songs of a holiday fading again Back to the city, the summer has gone Footsteps returning where memories belong Under the windows, the night starts to glow Early one evening, the river runs slow Early one evening… the river runs slow ** Conclusive Summary and complete analysis performed using Python language** Genre Synth Pop / Dream Pop / Ambient — Hours taken to complete: 11 Conclusive summary: This track was conceived with a strong human-led artistic framework—slow synth pop with airy female vocals, soft electric piano, lush pads, moody saxophone fills, ambient guitar swells, and light percussion. The Suno prompt design wove together stylistic detail and a lyrical narrative reflecting the bittersweet return to a city after summer, evoking English folk inflections in a dream-pop setting. Both style prompts and lyric-structuring were integral in shaping the final soundscape, not merely descriptive but directive. After Suno rendering, the project underwent two hours of DAW remix and masterisation at TuneCore, reinforcing human intervention in final shaping of sonic balance. Overall authorship reflects dominant human conceptual and directional input, with AI performing the heavy-lift of arrangement and rendering. Total time taken to complete: 11 hours Time breakdown (for calculation): • Concept, vision, lyric authorship, and detailed Suno prompt design: 5 hours • Suno generation and iteration (testing and selection of takes): 4 hours • DAW remix and masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 68% • AI: 32% Safe Creative sliders (category-specific authorship shares for registration): • Work Concept & Vision — Human: 90% | AI: 10% • Creative Direction (stylistic detailing, lyric-structuring, instrumental cues, arrangement guidance) — Human: 70% | AI: 30% • Production (sound design, instrumentation, arrangement rendering, remix/mastering) — Human: 40% | AI: 60% Notes considered in the calculation: • Style prompting specified full instrumentation, tempo, emotional tone, harmonic layering, and cinematic space, credited under human Creative Direction. • Lyrics with embedded performance/arrangement cues provided human authorship for narrative and structure. • Suno’s role was primarily in Production: executing arrangement, layering, and rendering sound. • Two hours of DAW remix and masterisation at TuneCore counted toward Human Production, acknowledging post-render shaping. • Figures reflect Safe Creative practice of separating Concept/Vision, Creative Direction, and Production rather than averaging all roles.

“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: dream pop, ambient, electronic A percussionless slow dream pop with two female voices that interchange, gives the feeling of a growing futuristic city Lyrics City lights like stars below Every street a river’s flow I rise above the sleepless maze Breathing in the silver haze Metropolis arising Through the night’s unending glow Every shadow blending With the places we used to know ** Conclusive Summary and complete analysis performed using Python language** Genre Dream Pop / Ambient Cinematic (percussionless) — Hours taken to complete: 7 Conclusive summary: This track was conceived and guided by a clear human creative vision—percussionless slow dream-pop with two alternating female voices evoking a growing futuristic city—then realized via Suno generation with lyric-driven performance cues, followed by 2 hours of DAW remix plus platform-assisted masterisation at TuneCore. The analysis below factors both style prompting and lyric-prompting (structure and delivery cues) without reproducing them. Net result: strong human authorship in concept and direction, with AI chiefly contributing arrangement and sound design; production shares reflect Suno’s heavy lift balanced by human remix and mastering oversight. Total time taken to complete: 7 hours Time breakdown (for calculation): • Concept, vision, and lyric authorship + style/lyric prompt design: 3 hours • Suno generation & selection cycles (iterations, comparisons, final take): 2 hours • DAW remix & masterisation at TuneCore: 2 hours Overall Human vs AI intervention (time-weighted across phases): • Human: 74% • AI: 26% Safe Creative sliders (category-specific authorship shares used for registration): • Work Concept & Vision — Human: 85% | AI: 15% • Creative Direction (stylistic choices, lyric-prompting, performance cues, structure) — Human: 70% | AI: 30% • Production (arrangement, instrumentation, sound design, rendering, remix/mastering) — Human: 35% | AI: 65% Notes considered in the calculation: • Style prompting explicitly specified a percussionless slow dream-pop aesthetic and two alternating female voices; this is treated as human creative intent. • Lyric-prompting and structural guidance (verse/chorus/Outro with piano-centric timbre references) are counted under Creative Direction. • Suno’s arrangement/rendering is counted under Production (AI). • Two hours of DAW remix and masterisation at TuneCore are explicitly credited under Production (Human), acknowledging platform assistance while preserving human oversight. Confidence & method: Percentages are derived from a simple time-weighted and role-weighted model aligning each task with authorship categories. Sliders are category-specific (not a direct average of the overall time-weighted split), which is standard practice for SafeCreative disclosures when concept/direction and production have different authorship profiles.

The album Dark Waters: Longform Ambient Volume 35 by Featus. Includes 6 parts of the title track, Dark Waters, and the whole track as 1-Track Version. The ZIP file includes 1-Track Version and the cover art.

The album Seagull: Longform Ambient Volume 34 by Featus. Includes 6 parts of the title track, Seagull, and the whole track as 1-Track Version. The ZIP file includes 1-Track Version and the cover art.

Este Cuento Navideño nos invita a vivir una historia mágica y llena de esperanza. Un río contaminado se convierte en el escenario de una aventura solidaria protagonizada por peces valientes, cigüeñas generosas y niños comprometidos, que se unen para devolver la vida a su hogar, al ritmo de nuestros villancicos de siempre. Este canta-cuento combina naturaleza, empatía y tradición en una experiencia navideña única.

The album Vox e longinquo: Longform Ambient Volume 31 by Featus. Includes 6 parts of the title track, Vox e longinquo, and the whole track as 1-Track Version. The ZIP file includes 1-Track Version and the cover art.

The album Radiance Returns: Longform Ambient Volume 33 by Featus. Includes 6 parts of the title track, Radiance Returns, and the whole track as 1-Track Version. The ZIP file includes 1-Track Version and the cover art.

Title: Moonroot Lyrics Ambient wind, soft harp arpeggios, distant pads In the vale where silence lingers, I trace the runes in silver sand. Moonroot blooms beneath my fingers, Calling songs from ancient lands. Whisper low, the stars remember, Every vow and every flame. Through the trees of dusk and ember, I still sing your secret name. Ahh… ooh… in harmony with the lead on “whisper low” and “your secret name” Lanterns drift on quiet water, Fading light on elven skin. Time flows soft as forest daughters, Hear the voice that sleeps within. Whisper low, the stars remember, Every vow and every flame. Through the trees of dusk and ember, I still sing your secret name. Backing Vocals: Echo phrases like “remember…”, “every flame…”, layered “ahhs” and “oohs” O starlight, guide the winds to me, Bring your soul through mist and tree. Echo “starlight…”, “winds to me…” Whisper low, the stars remember, Every vow and every flame. Through the trees of dusk and ember, I still sing your secret name. Backing Vocals: Layered harmonies on “every flame”, final rise on “secret name Soft humming and wind, harp plucks dissolve into ambient textures Type of Work: Musical Work / Song Language: English (Lyrics) Instrumental and lyrical elements include an Elven-style constructed tone Description: Moonroot is an ethereal, cinematic Elven ballad combining original lyrics, ambient orchestration, and layered female vocals. The piece features harp, strings, forest wind, and subtle chimes arranged at a slow tempo (~65 BPM). The vocal style is inspired by mythical elven characters—soft, breathy, and immersive—with harmonized falsetto backing. The song was developed through guided AI-generated orchestration (Suno) and finalized with human remixing and production in a digital audio workstation (DAW). AI and Human Involvement Declaration: This musical work was created primarily by a human composer (~80% contribution). Artificial intelligence (Suno) was used as a rendering tool based on prompts written and directed by the author. Lyrics were original. Human tasks included lyrical creation, vocal style definition, prompt refinement, remixing, mastering, and final arrangement supervision. Estimated Human Time Contribution: ~6.5 hours of creative work, including lyrics, prompt development, DAW remixing, and mastering