Implement Section 3 of the AI Context Optimization Blueprint: before each
chapter draft, model_logic expands sparse scene_beats into a structured
Director's Treatment covering staging, sensory anchors, emotional shifts,
and subtext per beat. This treatment is injected into the writer prompt,
giving the model a detailed scene blueprint to dramatize rather than infer,
reducing rewrite attempts and improving first-draft quality scores.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- writer.py: Dynamic character injection — only POV + beat-named characters
are sent to the writer prompt, eliminating token waste and hallucinations
from characters unrelated to the current scene.
- writer.py: Smart tail truncation — prev_content trimmed to last 1,000 tokens
(the actual chapter ending) instead of a blind 2,000-token head slice,
preserving the exact hand-off point for continuity.
- writer.py: Scene state injected into char_visuals — current_location,
time_of_day, and held_items now surfaced per relevant character in prompt.
- bible_tracker.py: update_tracking expanded to record current_location,
time_of_day, and held_items per character after each chapter.
- core/config.py: VERSION bumped 1.4.0 → 1.5.0.
- README.md: Story Generation section and tracking_characters.json schema
updated to document new context optimization features.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
