Story Structure
Scene–Sequel
Detect unbroken runs of action scenes or reflective sequels using Dwight V. Swain's framework.
What It Does
Classifies each scene as Action, Sequel, or Mixed based on Swain's Scene & Sequel model, then checks for healthy alternation:
- Action scenes contain goals, conflicts, and disasters
- Sequel scenes contain reactions, dilemmas, and decisions
Flags unbroken runs of the same type and missing sequels after dramatic scenes.
Why It Matters
Swain's Scene & Sequel is the rhythm of fiction. After a high-intensity Action scene (the hero's plan fails), readers need a Sequel scene (the hero processes what happened and decides what to do next). Without sequels, the story becomes exhausting — a chain of explosions with no breathing room. Without action scenes, the story stalls in reflection. The ideal pattern is an alternating rhythm: Action → Sequel → Action → Sequel.
What Gets Flagged
Unbroken Action Runs
Severity: Information
Example (flagged):
Scene–Sequel: 4 consecutive Action scenes without a Sequel — the reader may need a breather
Why: Multiple action scenes back-to-back create "action fatigue." The reader needs emotional processing time.
Unbroken Sequel Runs
Severity: Information
Example (flagged):
Scene–Sequel: 3 consecutive Sequel scenes without an Action scene — the pace may be stalling
Why: Extended reflection without action makes the story feel static.
Missing Sequel After Dramatic Scene
Severity: Hint
Example (flagged):
Scene–Sequel: high-stakes Action scene followed immediately by another Action — consider a Sequel for emotional processing
Scene Classification Signals
| Type | Signals |
|---|---|
| Action | Conflict verbs, dialogue with tension, physical action, time pressure |
| Sequel | Internal thought, reflection, emotional processing, decision language |
| Mixed | Elements of both (most scenes have some mix) |
Configuration
No configuration options.
Technical Details
- Source:
prose-craft - Scope: Scene-level (analyzes scene sequence patterns)
- Method: Scene classification via keyword density (action verbs, reflection markers, dialogue); pattern analysis of scene sequence