Artist: FeelShift
Debut Album: BETRAYED (14 tracks)
Release Date: November 11, 2025
Genre: Alternative · Industrial · Darkwave · Cinematic Jazz
Origin: Texas, United States
Theme: Real-time documentation of betrayal trauma
AI Role: Precision emotional translation (50-100+ iterations per song)
Runtime: 1 hour 4 minutes
Upcoming:
– Album 2 (in production)
– Betrayal Trauma Book (2026)
Radio Rollout: Begins late November, 2025
Listen: Spotify | Apple Music
EPK: PDF
Press Kit: Access folder
Contact: Send message
Feelshift creates music from inside trauma, not after healing.
Born from a devastating betrayal that collapsed his nervous system and identity, Feelshift turns documented suffering into sound using transparent AI collaboration. Every lyric comes from real journal entries and emotional states captured during the descent.
AI serves as the instrument that lets those emotions take sonic form with extreme precision.
His mission is simple: Document the real timeline of trauma – without bypassing, rushing, or sanitizing it.
BETRAYED is the first chapter. More chapters will come as the healing unfolds.
Release Date: November 11, 2025
Format: 14 tracks | Digital streaming on all platforms, including: Spotify, Apple Music, Amazon
SHORT BIO
Feelshift documents betrayal trauma in real time using AI-assisted emotional translation.
His debut album BETRAYED transforms 3.5 months of documented psychological collapse into a 14-track sonic journey crafted through precise human writing and up to 100 AI iterations per song. His work sits at the intersection of trauma psychology, experimental storytelling, and transparent AI collaboration.
MEDIUM BIO
Feelshift creates music from the middle of trauma, not after healing.
After a devastating betrayal triggered a full psychological collapse, he spent 18 days turning hundreds of pages of journal entries and audio notes into BETRAYED, a 14-track concept album written in the exact order the events unfolded.
Using AI as a precision instrument (often requiring up to 100 iterations per song), Feelshift crafts emotionally accurate soundscapes blending 1920s jazz, industrial chaos, and alternative textures.
His work bridges trauma psychology, experimental art, and transparent AI-driven creativity.
LONG BIO
Feelshift is an artist documenting betrayal trauma in real time – capturing collapse, confusion, psychological rupture, trauma-bond loops, and early attempts to rebuild.
His work began after discovering a hidden emotional relationship between the woman he planned to marry and a married man, an event that triggered a full nervous-system breakdown.
In the middle of that collapse, he wrote one song from his journal entries. The emotional shift it produced sparked a radical idea: document everything from inside the wreckage.
Over 18 days of near-continuous work, he transformed months of written and recorded suffering into BETRAYED, crafted in the exact emotional order the events occurred.
Using AI as a creative instrument, not a replacement, he shaped each track through dozens of iterations (sometimes 100+ per song) to match the emotional state behind the words. The lyrics, story, and emotional architecture are human; AI is the tool that gives those states sonic form.
Feelshift’s work sits at the intersection of trauma psychology, genre-fluid experimental sound design, and transparent human-AI collaboration. BETRAYED is the first chapter of a multi-album series documenting the real timeline of betrayal trauma.
For interview requests, review copies, or media inquiries:
Email: Please use contact form.
Website: feelshift.com
Response time: 24-48 hours
The artist behind Feelshift can speak about:
Feelshift collaborates with therapists, coaches, and trauma-informed practitioners whose clients resonate with the work.
If you want early access to materials, or wish to explore collaboration, reach out:
Partnership inquiries: Contact us.

Music and art created inside the collapse. Documenting the real timeline of betrayal trauma through human truth and AI-assisted music creation.
© 2025 FEELSHIFT All Rights Reserved.