This content originally appeared on DEV Community and was authored by Priya N G
(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.
This content originally appeared on DEV Community and was authored by Priya N G
Priya N G | Sciencx (2026-03-23T15:52:43+00:00) Why Our “AI” Tutor Was Six If Statements and a Fake Delay. Retrieved from https://www.scien.cx/2026/03/23/why-our-ai-tutor-was-six-if-statements-and-a-fake-delay/
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