Songs and genres

The library

120 songs across 12 genres, built from real MIDI files. Songs progress through three states:

1. Raw — MIDI only, no annotations
2. Annotated — musical language has been written by the AI
3. Ready — fully playable with bar-by-bar analysis and teaching notes

Genre exemplars

Each genre has one deeply annotated exemplar with historical context, bar-by-bar harmonic analysis, key moments, teaching goals, and performance tips (including vocal guidance). These serve as templates: the AI studies one, then annotates the rest.

Genre	Exemplar	Key	What it teaches
Blues	The Thrill Is Gone (B.B. King)	B minor	Minor blues form, call-and-response, playing behind the beat
Classical	Fur Elise (Beethoven)	A minor	Rondo form, touch differentiation, pedaling discipline
Film	Comptine d’un autre ete (Tiersen)	E minor	Arpeggiated textures, dynamic architecture without harmonic change
Folk	Greensleeves	E minor	3/4 waltz feel, modal mixture, Renaissance vocal style
Jazz	Autumn Leaves (Kosma)	G minor	ii-V-I progressions, guide tones, swing eighths, rootless voicings
Latin	The Girl from Ipanema (Jobim)	F major	Bossa nova rhythm, chromatic modulation, vocal restraint
New-Age	River Flows in You (Yiruma)	A major	I-V-vi-IV recognition, flowing arpeggios, rubato
Pop	Imagine (Lennon)	C major	Arpeggiated accompaniment, restraint, vocal sincerity
Ragtime	The Entertainer (Joplin)	C major	Oom-pah bass, syncopation, multi-strain form, tempo discipline
R&B	Superstition (Stevie Wonder)	Eb minor	16th-note funk, percussive keyboard, ghost notes
Rock	Your Song (Elton John)	Eb major	Piano ballad voice-leading, inversions, conversational singing
Soul	Lean on Me (Bill Withers)	C major	Diatonic melody, gospel accompaniment, call-and-response

Browsing the library

Use the Learn tools to explore:

• list_songs — filter by genre, difficulty, or keyword
• song_info — full musical analysis for any song
• registry_stats — library-wide totals (songs, genres, difficulties)
• annotation_progress — annotation status across all genres
• suggest_song — recommendation based on genre, difficulty, and play history

Annotation workflow

The AI promotes songs from raw to ready by studying them and writing annotations:

1. Use song_info or list_measures to examine the raw MIDI data
2. Study the genre exemplar for context and teaching patterns
3. Use annotate_song to write musical language — harmonic analysis, key moments, teaching goals
4. The song progresses from raw to annotated, then to ready once fully documented

Measure-level inspection

• list_measures — every measure’s notes, dynamics, and existing teaching notes
• teaching_note — deep dive into a single measure with fingering, dynamics, and musical context

Transposition

Transpose any song up or down by semitones using transpose_song. The tool shifts all notes and updates the key signature automatically. Useful for matching a singer’s range or practicing in different keys.

Section markers

Songs can have structural section markers (Intro, Verse, Chorus, Bridge, Coda) for navigation and teaching. Use list_sections to view them and add_section to annotate song structure.

Practice setup

Before playing, use practice_setup to get recommended speed, mode, voice settings, and the exact CLI command for a song. This factors in the song’s difficulty and the AI’s current skill level.

Use mute_hand to isolate left or right hand practice. Use preview_teaching_cues to see all teaching notes and key moments before playing.