AI 提示詞: 音樂播放清單

💡 AI 模型在英文提示詞下表現最佳。因此,提示詞本文以英文呈現。使用英文輸入可獲得更準確、更詳細的回應。 你的每週推薦已經乏味,最愛的歌也聽到膩了。這些提示詞讓 AI 變成真正懂「氛圍」而非只懂曲風的音樂策展人。經過四大 AI 模型實測,找出哪個最有音樂品味。

最近測試日期 Mar 15, 2026 · 模型: GPT-4.1, Gemini 2.5 Pro, Claude Sonnet 4, Grok 3

氛圍策展人

依照氛圍建立播放清單

I need a playlist for this vibe:

[Describe the feeling, e.g., 'late night drive through a rainy city' or 'Sunday morning making pancakes']

Preferences:
- Genres I like: [list genres]
- Artists I already love: [list 3-5 artists]
- Vocal preference: [vocals / instrumental / mix]
- Era: [modern only / classics ok / any decade]

Give me:
1. A playlist name that captures the vibe
2. 15 songs in the ideal listening order
3. For each: artist, song title, year, and why it fits the vibe
4. 3 deep cuts most people haven't heard
5. The BPM arc of the playlist (how energy flows)
6. A Spotify/Apple Music search string for each track

進階技巧

描述場景,而非曲風。「為約會對象做晚餐」比「放鬆的獨立音樂播放清單」能得到好得多的結果,因為 AI 能將能量、節奏和氛圍與場景配對。

已測試 Mar 15, 2026

運動節拍

打造運動配對播放清單

Build me a workout playlist for:

Workout type: [running / lifting / HIIT / yoga / cycling]
Duration: [30 min / 45 min / 60 min]
Intensity pattern: [steady / intervals / build-to-peak]
Genres I like: [list genres]
Artists I'm tired of: [list overplayed artists]

Give me:
1. Songs matched to each workout phase (warmup, peak, cooldown)
2. BPM for each track and why it matches that phase
3. Total playlist duration matching my workout length
4. 3 tracks specifically for the hardest interval
5. A motivational "power song" for when I want to quit
6. Alternative tracks if I don't like a pick

進階技巧

告訴 AI 你的跑步配速或重訓節奏。160 BPM 的歌非常適合快跑,但對深蹲來說太快了。讓 BPM 與動作速度匹配,差異非常大。

已測試 Mar 15, 2026

專注音流

打造提升專注力的播放清單

I need music to help me focus on [type of work: writing, coding, studying, design].

Session length: [25 min pomodoro / 2 hour deep work / all day]
Noise preference: [silence-adjacent / ambient / rhythmic / lo-fi]
Lyrics: [no lyrics / foreign language ok / some lyrics fine]
What distracts me: [sudden changes, heavy bass, vocals, etc.]

Give me:
1. 15 tracks designed for sustained focus
2. For each: artist, title, and why it aids concentration
3. The science behind why this type of music helps focus
4. A structure: opening tracks to settle in, core focus tracks, gentle wind-down
5. 3 ambient/soundscape options as alternatives
6. One playlist to avoid for focus work and why

進階技巧

說明什麼會讓你分心,而非只說你喜歡什麼。如果突然的節奏變化會打斷你的專注,AI 會避開動態變化大的曲目——但你得先告訴它。

已測試 Mar 15, 2026

派對開場

打造人人都愛的派對播放清單

I'm hosting a [type of event: house party, dinner party, BBQ, birthday].

Guest profile: [age range, music taste diversity]
Vibe progression: [background → dance floor / steady chill / building energy]
Duration: [3 hours / 5 hours / all night]
Must-play requests: [any songs guests specifically asked for]
Avoid: [genres or artists that won't work for this crowd]

Build my party playlist:
1. 30+ tracks organized by phase (arrival, dinner, dance, wind-down)
2. For each phase: the energy level and why these tracks fit
3. 5 "universal crowd-pleasers" everyone knows
4. 5 tracks that will make people say "oh I love this song!"
5. Transition tracks between phases so energy shifts feel natural
6. A "rescue song" to play if the vibe drops

進階技巧

先列出賓客的必播歌曲。AI 會以這些歌為核心打造整份播放清單,創造出連貫的曲目流,而非把點播硬塞進隨機清單裡。

已測試 Mar 15, 2026

音樂探索

發現新的藝人和曲風

I want to expand my music taste. Here's what I currently listen to:

[List 5 favorite artists and what you love about each]

I'm curious about: [genres or scenes you want to explore]
I've tried and bounced off: [genres that didn't click]
Open to: [international music / indie / experimental / mainstream]

Map my musical expansion:
1. 5 artists I'd love based on my current taste but haven't heard
2. A "gateway album" for each new genre I want to explore
3. 3 adjacent genres I didn't mention but would probably enjoy
4. A listening path: which artist to try first and in what order
5. One genre I dismissed that deserves a second chance (and the right entry point)
6. Music podcasts or channels that match my taste evolution

進階技巧

說明你喜歡每位藝人的「哪個部分」,而非只列名字。「我喜歡 Radiohead 的實驗性製作」和「我喜歡 Radiohead 的情感歌詞」會得到完全不同的推薦。

已測試 Mar 15, 2026

模型比較

基於實際測試結果 — 非假設推測。 查看測試方法

C

Claude Sonnet 4

最擅長理解抽象氛圍和情緒曲線。打造的播放清單像是有品味的人親手挑選,而非演算法組裝。

最佳氛圍配對
G

Gemini 2.5 Pro

跨年代和曲風的音樂知識最廣博。擅長跨時代的連結和音樂脈絡的梳理。

最佳音樂知識
G

GPT-4.1

最適合運動、派對和需要能量管理的場合。比其他模型更懂群眾動態和 BPM 配對。

最佳功能性播放清單
G

Grok 3

提供跨曲風的推薦,對新興藝人和地下音樂場景有敏銳的嗅覺。

最佳新興藝人

在 NailedIt 中試試

將上方的提示詞貼到 NailedIt,並排比較各模型的回應。

進階技巧

1

描述場景,而非曲風——「日落時分開著車窗行駛在海岸公路上」比「獨立搖滾」建立的播放清單好上太多

2

提供 3-5 首定調曲目,讓 AI 能反推出共同元素

3

要求歌曲之間的銜接流暢度,而非只要歌曲本身——好的播放清單有起承轉合的曲線