Use when the user wants a research paper, arXiv/DOI link, or research topic turned into academic slides — journal club / lab meeting (组会汇报), thesis defense (答辩幻灯片), conference or job talk (学术报告), poster, or grant pitch — or shares a paper and asks to "make slides / 做成 PPT / 讲一下这篇论文", especially when equations, numbers, figures, and citations must stay accurate and editable. NOT for marketing/pitch decks with no scholarly source, and NOT for writing the paper itself.
Use when the user wants visually striking, shareable slide-deck IMAGES from any content — an article, blog post, topic, or paper — where look-and-feel matters more than editable precision (风格化幻灯/小红书配图/公众号配图/视觉化海报), optimized for reading and social sharing rather than live presentation. Offers 17 T2I aesthetic styles (watercolor, sketch-notes, pixel-art, editorial, chalkboard, etc.); each slide is an AI-generated image (Gemini/Nano Banana), so the look is distinctive but text/math/data are baked into the image (not editable). NOT for a faithful academic talk where equations, numbers, tables, and citations must stay exact, editable, and projector-ready (组会/答辩/thesis defense/conference/results-heavy talks) — for that use scholar-slides instead, since text-to-image will garble math and data.
Use when the user asks to write or draft a PhD / doctoral research proposal, research plan, 研究计划书, or 开题报告 — a forward-looking plan of background, gap, research questions, methodology, timeline, and significance, in English or Chinese. Triggers: "write a research proposal", "PhD proposal", "doctoral proposal", "研究计划书", "开题报告", "写博士研究计划". Not for backward-looking literature reviews / 综述 / surveys (use medical-imaging-review), nor grant forms bound to a funder's own template (国自然/NSF).
Use when the user asks to write a "综述", narrative review, method survey, scoping review, systematic review, meta-analysis, evidence map, or journal-submission review manuscript in a medical imaging AI context — segmentation, detection, classification, diagnosis, prognosis, or clinical translation across CT, MRI, X-ray, ultrasound, pathology, and related modalities. Not for revising an existing AI-drafted review draft (use ai-review-revision) or for original research.