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Update v1.0
Optimize now supports two strategies, selectable per run: - regenerate (default, unchanged): per-slide multi-agent deliberation that rewrites every slide from scratch. - refine (new): localized, frame-level rewrite via SlideRefiner. Builds an escaped baseline deck from the existing slides, then surgically edits only the frames most relevant to the feedback, leaving the rest byte-identical, with deterministic body/document validation and retries. SlideRefiner is extracted from the IA-aarsh refiner pipeline, decoupled from its LLM-as-judge evaluation: it takes (latex, feedback_text) and here the feedback is sourced from the user's requirements, analysis, and human feedback. Threads a `mode` option through optimize.py, ADDIE_optimize.py, run.py, the /api/optimize API, and the frontend optimize form (with zh/en strings). Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
…efine Add localized "refine" mode to optimize (alongside regenerate)
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Summary
I adedd a course-wide presentation-design decision and a deterministic frontend slide pipeline while preserving the existing Beamer workflow. Each chapter still produces
slides.texandslides.pdf, with additional offline HTML, HTML-derived PDF, and image-based PPTX outputs.New Features
The Beamer source/PDF path remains intact. Generated images and Carbon output affect only the frontend-derived artifacts. Playwright Chromium is required for HTML-derived PDF/PPTX export, while LaTeX remains required for Beamer PDF generation.
For implementation details, artifact schemas, configuration behavior, and operational notes, see the file in docs/BETTER_SLIDES_GENERATION.md for more info.
Validation