- story/planner.py: enrich() and plan_structure() now extract series_metadata
and inject a SERIES_CONTEXT block (Book X of Y in series Z, with position-aware
guidance) into prompts when is_series is true.
- story/writer.py: write_chapter() builds and injects the same SERIES_CONTEXT
into the chapter draft prompt; passes series_context to evaluate_chapter_quality().
- story/editor.py: evaluate_chapter_quality() accepts optional series_context
parameter and injects it into METADATA so arc pacing is evaluated relative to
the book's position in the series.
- ai_blueprint.md: Section 11 marked complete (v2.7), summary updated.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- story/style_persona.py: Expanded default ai_isms list with 20+ modern AI phrases
(delved, mined, neon-lit, bustling, a wave of, etched in, etc.) and added
filter_words (wondered, seemed, appeared, watched, observed, sensed)
- story/editor.py: Stricter evaluate_chapter_quality rubric — added
DEEP_POV_ENFORCEMENT block with automatic fail conditions for filter word
density and summary mode; strengthened criterion 5 scoring thresholds
- story/writer.py: Added get_genre_instructions() helper with genre-specific
mandates for Thriller, Romance, Fantasy, Sci-Fi, Horror, Historical, and
General Fiction; added DEEP_POV_MANDATE block banning summary mode and
filter words; expanded AVOID AI-ISMS banned phrase list
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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>
