I-Career-Advisor-That-Remembers-You

AI Was Helping Me Prepare for Internships — Until I Realized It Was Forgetting Everything I didn’t expect memory to be the problem While building an AI career advisor, I kept noticing something frustrating. Every interaction looked good in isolation. But the moment I tried to use it across multiple sessions, everything broke. I’d ask for resume feedback, get useful suggestions, close the tab—and when I came back, the system had no idea who I was. At first, I thought this was just a limitation of prompts. It wasn’t. What this system is supposed to do The goal was simple: Build an AI assistant that helps students with: resume feedback skill gap analysis internship tracking interview preparation The stack was standard: React frontend Node.js backend LLM for generation a persistent memory layer The difference was in how requests were handled. Instead of treating each request independently, the system reconstructs user context before generating a response. The real problem isn’t obvious If