Vibe Scholar

Research topic and protocol design

• • Turn a vague idea into a research direction, scientific questions, and PICO elements
• • Structured goal–hypothesis design, with a testability self-check
• • Study-type selection, sample-size estimation, and feasibility assessment
• • Operationalize inclusion and exclusion criteria, and design plans for confounding control and bias avoidance

Literature search and evidence management

• • Covers 10 scholarly databases, including PubMed, PMC, and OpenAlex
• • Automatically generate search strategies with Boolean logic and MeSH terms
• • Trace citation networks, recommend related literature, and deduplicate across databases
• • Insert references automatically and generate a verifiable PMID citation list

Close reading and evidence appraisal

• • Extract key points and structured data from full texts, with close reading tracked by evidence type
• • Identify study designs (RCTs, cohorts, case-control studies, and more) and evidence strength
• • Summarize evidence by outcome measures, with support for grading and organizing evidence
• • A field-level landscape analysis: research lineages, hotspots, and gap identification

Evidence-based statistical analysis

• • Recommend statistical methods based on study type and data characteristics, with rationale and reproducible code
• • Meta-analysis: effect-size pooling, heterogeneity (Q, I²), and tests for publication bias
• • Diagnostic-test metrics (sensitivity, specificity, PPV/NPV) and ARR/RR/NNT calculations
• • Quality profiling and exploratory analysis for 200+ research data formats

Academic writing and submission support

• • Structured drafting of papers, grant applications, and patent filings
• • Write the methods section to CONSORT / STROBE / PRISMA standards
• • Journal matching and a submission-guideline compliance check (format, word count, figures, and AI policy)
• • A mock review before submission, producing a revision list by severity

Research-asset management and translation of results

• • Research logs and data-management ledgers, so study progress can be traced
• • Data–text linking: when data change, automatically locate passages in the manuscript that need updating
• • Generate research figures and presentation decks for defense or reporting
• • Package repeated workflows as reusable Skills, obtained and shared through the Skills store

Desktop (Windows / macOS) and research plugin (VS Code)

All capability items match the personal edition (see details above)

Monthly quota for deep-reasoning models

Team management console

• • Flexible configuration of members and role permissions
• • A full, auditable trail of operations

Shared team Skill library and knowledge base

• • Skills and workflows are shared across the group, so new members can get started immediately
• • Project experience is accumulated as reusable team assets

AI usage tracking and management dashboards

• • Real-time statistics on seat usage and task completion
• • Summarized output statistics to support research-group management

A dedicated AI research training session (1 session / year, about 2 credit hours)

A dedicated customer success manager

Priority technical support

Custom research-group Agent (a digital twin of the advisor)