LaunchMuse - AI Fan Engagement & Release Planning

Case study overview

LaunchMuse is an AI-native tool that helps artists, managers, and small labels plan six-week release campaigns for singles, EPs, and albums. It's designed to answer a simple question:

"How can tell my story more effectively than just saying to check out my release?"

As both a composer and an AI Product Manager, I wanted to validate a core hypothesis:

"A focused, AI-powered MVP can generate a complete six-week campaign around a release date, so artists can spend more time making music and less time building spreadsheets."

Problem: release campaigns feel like a second job

For most independent artists and small teams, a release campaign means:

• Building a calendar from scratch for 4–6 weeks of content.
• Deciding what to post on each channel (Instagram, TikTok, YouTube, email, etc.).
• Remembering key milestones (pre-saves, teasers, behind-the-scenes, launch day, follow-up).
• Translating the story behind the music into consistent, audience-ready content.

The result: a lot of creative energy is spent on logistics instead of the art itself.

Approach: ship a working AI MVP, not just a concept

I had not written production code in about a decade.

Using Codes and ChatGPT (OpenAI APIs) as a force multiplier, I:

• Spun up a modern Next.js app and basic design system.
• Implemented an AI-powered campaign generator driven by structured prompts.
• Wired it into a simple UI where artists can input their release details.
• Deployed a live, working MVP that real artists can try.

Total time from blank repo to working prototype: ~10 hours.

This wasn't a slide deck or a static mockup—it was a functioning AI-native MVP built specifically to test whether the core value proposition resonated with real users.

What the current MVP does

Today's LaunchMuse MVP focuses on a single, high-leverage feature: a six-week release campaign generator.

Given a release, it can:

• Generate a structured six-week plan around your release date, including pre-launch, launch week, and post-launch follow-up.
• Propose post ideas and themes per channel (e.g., Instagram, TikTok, YouTube, email newsletter) that you can adapt to your voice.
• Surface key milestones and reminders, like pre-save pushes, teaser content, story-driven posts, and fan-engagement prompts.
• Create an iteration loop so you can regenerate, refine, and customize campaigns as you learn what resonates with your audience.

It's intentionally narrow in scope: one job, done well. That's the point of the MVP—validate the core value before expanding the product surface.

Try the open alpha (live MVP)

You can try the core feature today.

Open alpha - 6-week campaign generator

In the open alpha, you can:

• Input basic details about your release (single, EP, or album).
• Generate a draft six-week campaign.
• See how AI structures the timeline, themes, and touchpoints.
• Share feedback that shapes what LaunchMuse becomes next.

This is not a mockup—the open alpha is the actual working MVP I built with Codes and ChatGPT to test real-world value.

My role as AI Product Manager

LaunchMuse is a personal demonstration of how I approach AI-native product development:

• Vision & problem framing
  Define a concrete, painful problem for a specific user (independent artists and small labels planning releases).
• AI-native solution design
  Start from, "What becomes possible if AI is built into the workflow from day one?" rather than bolting AI on later.
• Rapid, AI-assisted prototyping
  Use Codes and ChatGPT to go from problem statement to working MVP in hours—not months—while still respecting UX and reliability.
• Experiment design & validation
  Ship a focused MVP (the six-week campaign generator) and observe: Do artists find it useful? Do they adapt the output? Where does it fall short?
• Full-stack ownership
  Own the experience end-to-end: problem framing, UX, prompt design, application architecture, and deployment.

What's next

From here, the roadmap includes:

• Deeper personalization based on genre, audience size, and artist brand.
• Built-in asset and content tracking, so posts, videos, and stories live alongside the campaign plan.
• Integrations with scheduling tools and analytics, closing the loop from planning to performance.
• Collaboration workflows for managers, labels, and band members.

LaunchMuse is my proof that AI doesn't just help us prototype ideas—it lets us ship working MVPs that validate the core value of the products we want to build.