PROTOCOL: SYSTEM REBOOT // DEPLOY TO STAGING
System rebooted, currently operating in a staging environment. The "System Reboot" EP has been released exclusively on SoundCloud for audience testing (A/B Testing). This project explores the Suno v5.0 algorithm capabilities in handling complex rhythm changes and organic instrumentation, like saxophone, within an electronic structure.
[ DEV_NOTES ]
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🛠️ [DEV_WORKFLOW]: AI SYNTHESIS & MASTERING
By Ana Raquel - Full-Stack Developer and AI Music DesignerTransparency is vital. This EP is not a traditional manual production, but an orchestration of advanced generative tools.
1. Iterative Generation (Suno v5.0)
The technical differentiator here was the aggressive use of the Extend feature. Instead of accepting the default generation, I used Extend to force the AI to shift rhythmic signatures mid-track and focus on specific instrument solos (Saxophone), testing the coherence limits of the v5 model.
2. Mastering Pipeline (LANDR AI)
For the final polish, we delegated sound engineering to LANDR's artificial intelligence. The chosen configuration was surgical:
- Style: OPEN: I chose this profile to ensure emphasis on attack (transients) and modern presence. The goal was to avoid the "mud" in mid-frequencies, common in AI generations.
- Loudness: Set to Medium. This preserves the track's dynamics without entering the "Loudness War," ensuring the listener avoids auditory fatigue.
Status: Staging Release (SoundCloud Only).
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