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Project

Music Learning Experiments

Tools and notes around guitar, music theory, and deliberate practice.

Concept LLMGPTAudio inputPitch detectionReact NativeMusic theory

Problem

I wanted to learn guitar, but the abundance of online resources made it difficult to choose a clear learning path. While some people suggested learning with an instructor, my schedule made it hard to commit to fixed session times.

Learning guitar and music theory requires consistent feedback loops. Without structure, practice can easily drift toward what feels comfortable rather than what builds real skill.

Why I Built It

This project collects ideas for practice logs, ear training, pitch feedback, arrangements, and theory references.

Architecture

The architecture combines practice planning, audio input, pitch detection, and a small music theory data layer.

Tech Stack

  • LLM
  • GPT
  • Pitch detection
  • React Native
  • Music theory data

Current Status

Concept. I have used a minimal GPT-driven approach for customized learning.

What I Learned

Practice software should support attention, not replace attention. The tool should stay quiet and focused.

Next Steps

Prototype a daily practice log, add pitch feedback for simple exercises, document lessons from guitar practice, and generate random chord progressions for ear training.

Further Reading

Read related technical notes.

The writing archive expands on the architecture patterns, product constraints, and AI workflow decisions behind these projects.