Build a Transparent Virtual Artist With AI

By TJ Larkin · Published 2026-10-06

# Build a Transparent Virtual Artist With AI

A virtual artist can give a collection of songs a recognizable identity. The useful work is deciding what holds that identity together: the vocal character, instruments, emotional world, and way the songs tell a story.

That project can be openly fictional. You don't need to invent a human performer's hometown, family history, or career to make the music feel coherent.

This guide uses Cormac Riley, the project name from the original article, as a virtual singer-songwriter example. Treat the name as a creative label, with AI use clearly disclosed. The following profile is a teaching example, not a biography or a claim about a working human artist.

1. Choose qualities you can describe

Begin with the musical qualities you enjoy: close vocals, acoustic movement, a little rhythmic lift, a hopeful tone. Separate these qualities from any particular performer's identity.

When listening for inspiration, ask:

• Is the vocal conversational, forceful, airy, or restrained?
• Which instrument establishes the song?
• How much space surrounds the voice?
• What changes between the verse and chorus?
• What kinds of details appear in the lyrics?

Write observations in your own words. Don't copy lyrics, upload recordings you aren't authorized to use, or design a voice to impersonate a real singer. Combining several famous names doesn't itself establish originality or permission.

2. Write the Sound DNA card

Sound DNA is a compact set of creative constraints. Keep it short enough to use while listening.

For this example:

• Vocal character: warm, clear tenor; conversational verses; restrained lift in the chorus
• Instrument foundation: acoustic guitar, rounded bass, light percussion; piano as an occasional accent
• Production: intimate vocal placement, uncluttered arrangement, modest room ambience
• Emotional world: ordinary moments, gratitude, uncertainty, and earned optimism
• Lyric approach: concrete scenes, plain language, one central image per song
• Avoid list: stadium-sized drums, constant belting, dense strings, and vague inspirational slogans

Add a short paragraph explaining why those choices belong together. Here, a small arrangement supports lyrics about small moments. That connection makes the identity more useful than a list of pleasant adjectives.

3. Build three flexible prompt templates

Preserve the anchors while changing the song's movement. These are starting points for testing, not recipes that guarantee the same singer.

Upbeat: “Acoustic indie pop, warm clear tenor, conversational delivery, rhythmic acoustic guitar, rounded bass, light drums, hopeful energy, intimate modern mix, modest chorus lift, approximately 112 BPM.”

Ballad: “Quiet acoustic ballad, warm clear tenor, fingerpicked guitar, sparse piano accents, minimal percussion, reflective mood, close vocal, spacious arrangement, restrained emotional chorus, approximately 78 BPM.”

Mid-tempo: “Acoustic singer-songwriter, warm clear tenor, steady guitar pulse, brushed percussion, rounded bass, thoughtful verses opening into a hopeful chorus, uncluttered production, approximately 96 BPM.”

Notice what stays stable and what changes. If the identity disappears when you change tempo, strengthen the core descriptors and selection criteria. A model can interpret the same prompt differently across takes.

4. Give the lyrics a point of view

A recognizable project needs more than a recurring vocal texture. Decide what the songs notice and how they speak.

For this example, the writing might notice a light left on, a half-finished project, or a familiar road after rain. It can hold uncertainty without resolving every verse into a motivational lesson.

Create an original scene: someone returns to a garden after a difficult season and finds a new shoot. The verse describes the scene. The chorus names the feeling. The bridge changes the perspective instead of repeating the explanation.

Read the lines aloud. Check whether important words receive natural stress and whether the chorus is easy to remember. Edit for the listener rather than forcing every line into an identical syllable count.

5. Test identity across three songs

Make one upbeat song, one ballad, and one mid-tempo track. Listen to them together, with the Sound DNA card beside you.

Score vocal character, instrument palette, lyrical perspective, and arrangement habits separately. Write a sentence explaining each score. “Track two loses the intimate feeling when the drums enter” gives you a next action; “not consistent” doesn't.

Revise one important variable at a time. If percussion is too heavy, adjust the percussion direction while preserving the rest of the brief. Keep the best version available so a weaker revision doesn't replace it by accident.

6. Present the project honestly

A description could read: “Cormac Riley is a virtual singer-songwriter project exploring ordinary moments through human creative direction and AI-assisted music production.” Adjust that language to reflect the work you actually do, and credit human contributors accurately.

Don't invent touring history, awards, interviews, or personal experiences for credibility. Fictional storytelling can appear in the songs and visual world while the project description remains clear about its nature.

DistroKid's AI credits ask which parts were AI-generated and, for fully generated audio, whether the artist is a human or AI persona. Its acceptance rules also require appropriate rights and prohibit impersonation and mass-generated spam.

Before release, check input permissions and the current Suno terms, including permitted-download requirements. Keep the rights record with the project.

Start with three songs that belong together. Use the prompt formula to refine the directions and the iteration cycle to diagnose what you hear. A coherent, transparent body of work is the goal.