CoLyricist: Enhancing Lyric Writing with AI through Workflow-Aligned Support

2026-02-25

AI Summary

This study addresses the misalignment between existing AI lyric-generation tools and the actual workflows of professional lyricists. Drawing on semi-structured interviews with ten experienced lyricists, we identify four core stages of the creative process: theme setting, inspiration generation, lyric drafting, and melody alignment. Guided by these insights, we design CoLyricist, an AI-powered interactive system that deeply integrates with this four-stage workflow through a user-centered design approach accommodating both novices and experts. User studies demonstrate that CoLyricist significantly enhances the creative experience across user groups: novices benefit particularly from its melody-alignment support, while professionals highly value its assistance during the inspiration-generation phase, thereby achieving seamless integration of AI tools into real-world lyric composition practices.

Technology Category

• Humans and AI: User Experience and Usability
• Cognitive Modeling & Cognitive Systems: Computational Creativity
• Natural Language Processing: Code Generation / Program Synthesis from Natural Language

Application Category

• Economics, Online Markets and Human Computation: Architectures and workflows that use LLMs for crowd work
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• User Modeling, Personalization and Recommendation: Practical large-scale studies of user experience

Abstract

We propose CoLyricist, an AI-assisted lyric writing tool designed to support the typical workflows of experienced lyricists and enhance their creative efficiency. While lyricists have unique processes, many follow common stages. Tools that fail to accommodate these stages challenge integration into creative practices. Existing research and tools lack sufficient understanding of these songwriting stages and their associated challenges, resulting in ineffective designs. Through a formative study involving semi-structured interviews with 10 experienced lyricists, we identified four key stages: Theme Setting, Ideation, Drafting Lyrics, and Melody Fitting. CoLyricist addresses these needs by incorporating tailored AI-driven support for each stage, optimizing the lyric writing process to be more seamless and efficient. To examine whether this workflow-aligned design also benefits those without prior experience, we conducted a user study with 16 participants, including both experienced and novice lyricists. Results showed that CoLyricist enhances the songwriting experience across skill levels. Novice users especially appreciated the Melody-Fitting feature, while experienced users valued the Ideation support.

Problem

• lyric writing
• creative workflow
• AI-assisted tool
• songwriting stages
• human-AI collaboration

Innovation

• workflow-aligned design
• AI-assisted lyric writing
• creative process support
• melody fitting
• ideation support