Find a problem through personal experience
Beijing Daily reported in April 2026 that Li used overseas-study experience to develop AI Xuanxiaoniao for university selection. This supports a person-product connection, not verified recommendations, admissions outcomes or contemporary business scale.
Editorial analysis: experience introduces the problem, evidence sets the boundary
Institutional requirements, programs, deadlines and applicant backgrounds vary. Personal experience can identify confusion without becoming a universal rule. Show original conditions, dates and inferred suggestions separately so users can check facts on official university pages.
Start with one application task, a small sourced institution dataset and user checks for omissions before evaluating matching. Include insufficient conditions, expired information and cases needing human judgment, not only easy answers.
User counts do not prove outcomes
Use, payment and admission are different measures. We invent neither current staffing nor income and make no admission promise. Study traceable reasoning and uncertainty handling instead. Further reading: knowledge-assistant service scope.