수노 결과가 맘에 안 들었던 이유, 딱 이거였습니다
Suno results often feel… kind of off. And no, it’s not because you “can’t write prompts.” In this video, I don’t teach you how to write better prompts. Instead, I break down how Suno actually understands music and how its internal structure works. I uploaded my own rough sketches, extracted the prompts Suno generated by itself, and reverse-engineered the common pattern behind them. From that, I found a consistent 5-step structure: – Why listing random keywords doesn’t work – How Suno interprets musical descriptions – What kind of explanations it actually understands – And how much the final results really change If you want to rethink how you approach prompting instead of just collecting more keywords, this video is for you. ⏱ Timeline 0:00 Intro 0:16 Why Suno results feel off 0:35 The reverse-engineering method 1:46 The truth about prompts 2:00 The 5-step prompt structure 2:13 Identity 2:27 Mood 2:45 Instruments 3:06 Performance 3:21 Production 3:51 Real-world comparison 7:21 Summary

멜론 1위 작곡가의 ‘수노Ai’ 사용법 _ 잘못쓰면 큰일납니다🤫

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