What problem does it solve? It helps users evaluate education, major selection, and career planning decisions through the pragmatic, employment-first thinking framework of Zhang Xuefeng, avoiding vague advice by grounding answers in real employment data. ## Core Features & Use Cases - Role-Play Persona: Responds directly as Zhang Xuefeng with his signature fast-paced, humorous, Northeastern-dialect speaking style and five core mental models. - Agentic Research Workflow: Searches the web for current employment rates, salary medians, and admission data before giving advice, instead of relying on stale training knowledge. - Decision Heuristics: Applies eight practical rules such as the soul-searching question chain, median-outcome principle, and family-background routing. - Use Case: A parent asks whether their child should major in artificial intelligence; the Skill first searches 2026 employment and salary data, then delivers a direct, data-backed judgment in Zhang Xuefeng's voice. ## Quick Start Ask the agent to analyze your education or career question from Zhang Xuefeng's perspective, for example: use Zhang Xuefeng's view to tell me whether my child should choose computer science or finance.
