Chapter Set Planning

Plan a full set from locked chapters with bridge tracks between them.

Agent prompt

Paste into your agent to start:

Plan a set from my locked chapters.

Constraints

• Read-only. Chapter set planning never modifies track metadata.
• Human controls the result. Agent proposes chapter order and bridges. User approves all decisions.
• Cache-first. All scoring uses cached data. No external API calls.
• Chapters first. This workflow assumes the user has already built and locked chapters (pools saved as playlists) using the Pool Building workflow.

Prerequisites

• At least 2 locked chapters (playlists) from the Pool Building workflow. Alternatively, discover_pools can find chapter candidates automatically from a library subset using Bron-Kerbosch clique enumeration.
• User must identify each chapter as sequenced (fixed order) or unordered (improvise order live)

cache_coverage()

All providers at 100%.

Steps

1. Gather chapters

Ask user for:

• Chapter playlist IDs (from get_playlists)
• Whether each chapter is sequenced or unordered
• Target set duration and overall energy arc preference

2. Analyze each chapter

For each chapter:

describe_pool(
  playlist_id="...",
  master_tempo=false
)

Summarize per chapter:

• Energy band, BPM center, dominant genre, key neighborhood
• Cohesion score
• For unordered chapters: optimal reference BPM

Present a table of all chapters side by side.

3. Propose chapter order

Based on the user’s energy arc preference, propose an ordering that creates a coherent energy progression across the night:

• Warmup — lowest energy chapters first
• Build — ascending energy
• Peak — highest energy chapters
• Release — descending energy to close

Consider BPM progression — avoid large BPM jumps between adjacent chapters.

Present the proposed order with energy flow visualization. Ask user: “Approve order? / reorder / swap chapters”

4. Find bridge tracks

For each chapter boundary (transition between chapters), find 1-3 bridge tracks that connect them:

Step 4a: Identify boundary tracks

• For sequenced chapters: the last 2-3 tracks of the outgoing chapter and first 2-3 of the incoming chapter
• For unordered chapters: all members are potential boundary tracks

Step 4b: Search for bridges

Use expand_pool with seeds from both chapters’ boundary tracks:

expand_pool(
  seed_track_ids=[...outgoing_boundary, ...incoming_boundary],
  additions=5,
  master_tempo=false
)

Tracks compatible with both sets of boundary tracks are natural bridges.

Step 4c: Score bridge candidates

For each candidate, score against both chapters:

score_pool_compatibility(
  track_id="candidate",
  pool_track_ids=[...outgoing_boundary],
  master_tempo=false
)

score_pool_compatibility(
  track_id="candidate",
  pool_track_ids=[...incoming_boundary],
  master_tempo=false
)

Rank by the minimum of the two min-scores (must work with both sides).

Step 4d: Present bridge options

Present 3-5 bridge candidates per boundary with:

• Compatibility scores to both chapters
• BPM/energy position relative to the two chapters
• Why each works (strongest axes)

Ask user: “Pick bridge(s) / skip this boundary / search with different parameters”

5. Sequence unordered chapters

For unordered chapters, propose internal sequence:

build_set(
  track_ids=[...chapter_track_ids],
  target_tracks=N,
  priority="balanced",
  energy_curve="flat",
  master_tempo=false,
  beam_width=3
)

Or use score_transition for pairwise evaluation if the chapter is small (≤5 tracks).

Present ordering options. Ask user: “Pick sequence / keep unordered / adjust”

Weight presets. Use save_weight_preset to save custom transition or pool weights for reuse. list_weight_presets shows all available presets (built-in and custom). delete_weight_preset removes custom presets.

6. Present full set plan

Display the complete set plan:

• Chapter order with bridge tracks between them
• Per-chapter: track list, energy band, BPM range
• Overall energy arc visualization
• Total track count and estimated duration
• Any gaps or weak transitions flagged

Ask user: “Approve plan? / swap chapters / change bridges / adjust sequences”

7. Export

Export the full set as a single ordered playlist:

write_xml(playlists=[{
  "name": "Set Plan: Venue Date",
  "track_ids": [...chapter1, ...bridge1, ...chapter2, ...bridge2, ...]
}])

Optionally export each chapter as a separate playlist too.

Report output path. Remind user: File → Import Collection in Rekordbox.