Why Our "AI" Tutor Was Six If Statements and a Fake Delay

(https://claude.ai/public/artifacts/69f3ba36-632d-4c74-b8c3-dc7402fe8a0a) Building an AI Tutor: Key Learning As part of our project Nebula Study Spark, we developed a student-focused learning platform using React and TypeScript with features like quizzes, mistake tracking, and a chat-based tutor. During development, we discovered that our “AI Tutor” was not truly intelligent—it was driven by rule-based logic and predefined responses. This highlighted an important insight: There’s a clear difference between systems that simulate intelligence and those that actually learn and adapt. Key Takeaway: Building impactful AI solutions requires real adaptability and personalization, not just functional design. Next step: Integrating real AI/ML models to make the system truly adaptive.