Have you ever tried using AI to create music? For many users, the same question often comes to mind when encountering the generated results: Why do these generated melodies sound “formulaic,” and why can’t they meet my individual creative needs? The answer is that the most important part is the “prompts”. This article will open the core techniques for melody customization in MakeBestMusic: Understanding the importance of prompts, the three main types, how to apply them specifically, and what to avoid in the use of prompts to help you customize melodies faster and more accurately.
AI Music Prompts: Why Are They the Key to Music Generation?
Users are already familiar with the “one-click” interface for music generation using AI. However, when it comes to generating music that needs to be customized, then to effectively transform user requirements into a creative language that AI understands is necessary to use the right “prompts”, a critical element that bridges the two. MakeBestMusic uses the core algorithm to analyze the input of textual descriptions and precisely translates them into melodic, harmonic, and rhythmic components. Prompts are essentially the “language” by which users express their ideas to AI and are the key to improving the accuracy and uniqueness of AI generation.
In particular, the core value of prompts is reflected in three aspects:
- Breaking AI language barriers. Allows non-professional users without music theory knowledge to quickly express core requirements such as style and emotion, avoiding the need for AI to “fly by the seat of their pants.”
- Improving creative controllability. By using detailed instructions, the generated melody progression, song section structure, instrumentation, and other details can be fine-tuned to meet requirements and avoid inefficient “generate and test” work.
- Unlock creative diversity. By combining and adding prompts, break the original style of creation, and make the generated melodies out of the box, more personalized and of high professional quality. Grammy-winning producer David also commented that a well-crafted prompt was like “turning AI into a creative partner with perfect pitch to precisely capture the melody in the subconscious.”
Unlock the Melody Customization Core Tool: Prompt Words
Song creation in MakeBestMusic is not a random description, and the prompts used here have a certain classification and logic. Understanding the three core types of prompt words will allow the workflow of users to be transformed from passively accepting to actively shaping.
Prompt Words for Song Structure: Defining the Melodic Framework, Building the Creative Foundation
Song structure prompts, the most important core function is to clarify the overall structure and flow logic of the melody to the AI. This determines the integrity and fluidity of the song and is the “skeleton” of melody customization. Whether you are a novice or a seasoned user, a lack of clarity in structure prompts can lead to problems such as inconsistent song sections and dissonant emotional progression.
On MakeBestMusic, users can specify all the sections of the song (intro, verse, chorus, bridge, outro, etc.) through prompts. Defining the length of each section, emotional changes, and instrumentation can help the AI accurately match the requirements. In particular:
- The intro is the part before the vocals, setting the tone of the song and leading to the verse.
- The verse builds up the narrative and emotional foundation of the song, forming the core content of the song.
- The chorus is the most important part of the song, conveying the peak of emotion and the most memorable hook.
- The bridge is usually used for transition, adding a layer of contrast and depth to the song.
- The outro is the ending part of the song, leaving a lingering impact and completing the emotional journey.
Prompt Words for Song Style: Establishing the Melodic Character, Precisely Matching Creative Needs
Song style prompts are critical in establishing a melody’s “character”. In particular, the core of using this type of prompt is to target a specific genre or style fusion with precision.
Some of the more specific song style prompts include: “Neoclassical piano,” “lo-fi hip-hop,” “cyberpunk electronic,” “Midwest emo + neo-soul mashup,” “jazz-house fusion,” and so on.
It is best to avoid general terms such as “pleasant music”, “pop style”, or “gentle melody”. AI generated with these prompts will often produce a melody that is too indistinct to easily stand out and difficult to match with precise requirements. When using this type of prompt, it is often best to add detail to a song style for reference, e.g., “Style reference: R&B, add gentle drum beats, overall feeling: tender and healing” to help improve generation accuracy.
In addition, MakeBestMusic’s built-in mood analysis feature also supports the integration of mood prompts to help strengthen expressive power. Examples include: “mood: Gentle and healing with a hint of nostalgia, featuring smooth melodic fluctuations”; “mood: Emotional progression from calm to climax, with maximum tension in the chorus”. This ensures that the generated melody is as close as possible to the user’s core emotional intent.
Optimization Tips for Lyrics: Improve Artistic Quality and Achieve “Lyrics-Melody Harmony”
The artistic quality of lyrics is inextricably linked to their song compatibility, which directly determines whether a song can be sticky. By integrating segmented prompts with the structure of the lyrics, the AI can be enabled to generate melodies that are more in line with the rhythm, rhyme, and emotional expression of the lyrics. MakeBestMusic currently also allows direct import of lyrics, where you can also assign dedicated segmented prompts for each verse, in order to achieve a “match between lyrics and melody”.
Tips for implementation include:
- First, segment prompts according to the structure of the lyrics (divided into verses, choruses, etc.). Assigning different prompts for each verse, chorus, bridge, etc., so that the tempo, pace, and rhythm of the corresponding melodies can precisely match the count and pauses in the lyrics. Example: “Verse1: 8 words per line, relaxed tempo, 0.5-second pause after each line, light piano accompaniment supporting vocals.”
- Second, add rhyme and rhythm hints to the prompt. Clearly state rhyme and rhythm scheme in the prompt to guide AI to more accurately capture the flow of the melody. Example: “Verse 2: 7 syllables per line, rhymes with ‘a’, slightly slower tempo, 0.3-second pause between lines, light percussion accents.” “Chorus: 6 syllables per line, rhymes with ‘o’, rising tempo, emotional outburst, full band accompaniment to amplify tension.”
- Third, lyric patterns mark the key emotional lines. For some core emotional lines in need of emphasis, these can be clearly marked in the prompt to amplify the emotional impact of the melody. For example: “Chorus: Emotional outburst, melody sharply ascends, emphasize ‘XXX (core lyric line)’, increase instrument volume, layer harmonies to enhance depth.”
Say goodbye to boring melodies! An Example Prompt Formula
In order to help users more intuitively master the combination of prompts, below is an example of how to create a complete lyric by merging the three core elements of style, emotion, and details.
From concept to melody: Logic and practical demonstration of writing a pop ballad prompt
Core Requirement: Pure pop-ballad style, suitable for smoky female vocal texture. The emotional progression is from calm to explosive—verses are soft and delicate, choruses are passionate and powerful. Add instruments such as piano, strings, etc., to enhance the catchiness of the melody and the build-up of emotional tension.
Lyrics prompt
[Intro 16bars]
[Verse 1：piano solo, female vocal] Insert lyrics
[Pre-Chorus 1] Insert lyrics
[Chorus 1：male vocal] Insert lyrics
[Interlude：16bars]
[Verse 2] Insert lyrics
[Pre-Chorus 2] Insert lyrics
[Chorus 2] Insert lyrics
[Outro, Fade out] (Lyrics can be written by yourself or created using AI Lyrics)
Song Style Prompt
Pure pop ballad in C major, 4/4 time, 80 BPM.
[Intro] Soft piano arpeggios flow gently, gradually building a tender, tranquil atmosphere to smoothly transition into the vocals, quickly submerging the listener in the song’s emotion.
[Verse 1 + Pre-Chorus 1] Piano played softly held block chords with a smooth, unobtrusive rhythm. The piano gently envelopes the vocals, highlighting their delicate texture while gradually building emotional intensity, naturally leading into the chorus.
[Chorus 1] Piano shifts to fast arpeggiated chords, delivering a tightly coiled powerful melody that drives the music forward to its climax. This both effectively amplifies the emotional weight of the song and skillfully avoids overwhelming the vocals, creating a harmonious interplay.
[Interlude] Continuing the gentle tone, piano and strings play together. The soft, cloudy texture of the strings complements the piano’s clear tone, creating a soothing, healing atmosphere and allowing the emotions to settle for a moment.
[Verse 2] Building on the piano accompaniment, a gentle percussion section is added. It has a steady, unobtrusive rhythm and subtly adds movement to the song while seamlessly supporting the vocal progression, lending the melody more dimensionality.
[Pre-Chorus 2] The overall volume of the music noticeably increases, the accompaniment also feels an obvious increase in intensity. While maintaining continuity with the melody, the emotional energy gradually builds, laying a solid foundation for the next climax.
[Chorus 2] Vocals layer with falsetto third harmonies, creating a fuller, more dimensional sound. Paired with full band accompaniment and rich instrumental layers, the melody hits its climax instantly, fully unleashing the emotion of the song and delivering a powerful auditory impact.
[Outro] After the climax, the music gradually returns to calm. The accompaniment gradually reverts to a gentle piano solo, the volume slowly fades, and the melody gently fades out. The ending is clean but resonant; the listener is completely immersed in the song’s tender atmosphere.
Prompt Tips: Avoid Vague Descriptions
User-generated melodies that fall short of expectations often result from too vague or general prompts that leave the AI unable to interpret the creative intent. Here are some common categories of ambiguous terms, along with specific replacements, to help avoid common pitfalls.
- Style Ambiguities. Avoid ambiguous descriptions such as “pleasant”, “trendy”, or “feel-good”. Replace with specific genres + reference examples. For example, replace ‘trendy’ with “pop rock, like Coldplay’s style”.
- Emotional Ambiguity. Avoid using generic or imprecise emotional descriptions such as “touching”, “soothing”, or “atmospheric”. Replace with specific emotions + details. For example, replace ‘touching’ with “gentle and healing, with a hint of melancholy, featuring smooth melodic fluctuations”.
- Structure Ambiguities. Replace vague instructions like “clear structure” or “good rhythm” with specific section lengths and tempo parameters. For example, replace “good rhythm” with “Tempo: 110 BPM, verses with a relaxed rhythm, choruses with a tight rhythm.”
- Instrument Vagueness. Avoid broad or unclear instrument-related instructions like “various instruments” or “appropriate instruments”. Replace with specific instruments + playing techniques. For example, replace “various instruments” with “electric guitar (distorted tone), drum kit (strong drum beats), bass (low-frequency foundation)”.
- Core Principle: The more specific the prompt, the closer the AI-generated melody is to the user’s need. A “style + emotion + structure + instruments + reference details” combination is recommended as the standard to minimize AI interpretation and maximize creative efficiency.
Frequently Asked Questions
Q1: Why does the generated melody still not match my expectations after following the prompt steps?
A1: First, review the prompt for ambiguous wording. Add more specific reference examples or detailed parameters. Second, try rephrasing the prompt by adjusting the number of bars and tempo. For example, changing “make the chorus melody ascend” to “make the melody ascend by 20%, raising pitch by 5 semitones”. Finally, if the gap persists, the melody editing function in MakeBestMusic can be used to manually correct individual notes or chord progressions that do not meet requirements.
Q2: As a beginner, how can I quickly generate precise prompts?
A2: Adopt a “template + customization” approach. First, take the base template as: “Song Type + Time Signature + BPM”. Then add specific prompts for the intro, verses, chorus, and other sections. Secondly, you can also use the platform’s built-in style templates, adding your own requirements.
Q3: When fusing multiple genres, how should the prompts be written to avoid generating a mixed style?
A3: Use the “primary genre + secondary genre” format and be clear about each genre’s proportion and fusion points. For example: “genre: Pop + Hip-hop, primary genre Pop (70%), secondary genre Hip-hop (30%), bass elements only in verses, chorus retains pop-rock texture”.
Q4: Can the generated melodies be used for commercial purposes?
A4: MakeBestMusic provides commercial licenses for use. Songs generated by free users are limited to non-commercial use, for commercial use in advertising, game sound effects, or short-form video promotions, a membership purchase and commercial license are required to avoid copyright infringement.
Conclusion
MakeBestMusic’s melody generation is not an autonomous creation by AI algorithms but a creation between “user creativity and AI algorithms”. In this process, prompts are the essential core that makes this possible. From building a foundation of style to the end of advanced customization of details. From the control of the overall paragraph structure to the precision of lyrics with melody, high-quality prompts can allow the AI to truly act as a creative assistant, helping users to break through the professional ceiling to generate their own unique core melodies.
Creators have no need to chase music theory knowledge; simply by mastering the principles of specific, detailed, and context-matched prompts. Combined with the core tools of paragraph prompts, style prompts, and other use techniques discussed above, users can achieve an advanced breakthrough in the customization of melodies. Whether it is background music for short videos, game sound effects, or complete original songs, MakeBestMusic can transform users’ creativity into warm and personalized music works with precision through the use of prompts.
In the future, as the technology of AI music continues to improve, MakeBestMusic’s prompt system will become smarter and more user-friendly. However, its core logic will not change: the key to creating truly unique melodies lies in the handcrafted prompts. With the examples and techniques provided in this article, please boldly try them out and let your creative inspiration shine through with the help of AI.
