Education

Turns observations into evidence-bounded candidate hypotheses, rival explanations, discriminating predictions, and preregistration-ready analysis plans.

Runs developmental, evidence-traceable reviews of papers, protocols and research ideas, plus local audits of low-stakes assessment rubrics.

Guides an authorized reviewer through evidence-bounded, confidential peer-review drafting for manuscripts, protocols, preprints, and proposals.

A three-role pipeline that takes a math-modeling contest problem from analysis to runnable code, figures, and a full Word/LaTeX paper.

A three-role pipeline (modeler → coder → paper writer) that solves math-modeling competition problems end to end with independent QA gates.

Runs PaperOrchestra's four LLM-as-judge autoraters — Citation F1, 6-axis literature-review quality, and two side-by-side comparisons — on your paper drafts.

Scans AI coding-agent caches (.claude, .cursor, .antigravity, .openclaw) or any folder you name, then turns scattered experiment logs into PaperOrchestra-ready idea.md and experimental_log.md.

Discovers candidate papers via web search, verifies them through Semantic Scholar with Crossref/OpenAlex cross-checks, then builds refs.bib and drafts the Introduction and Related Work.

Generates, verifies and registers AI teaching personas of real Buddhist masters grounded in cited canonical sources.

A top-level orchestrator that turns a research direction or topic into a full package by chaining exploration, literature survey, experiments, and paper writing in order.

Pulls real BOSS Zhipin job postings and finds roles at the intersection of high pay, learnable-for-you, and still needed in the AI era.