Me, Myself & AI: Backend Beginnings – Agent Report

PublicBenefit - Me, Myself and AI by AI Overview by Google Notebook LM

Episode notes

Episode Summary

This episode features an AI-generated debrief on the backend development phase of the Me, Myself & AI project, spotlighting work led by Ben Chen (AI Backend Architect) and Paul Wolfe (Human-in-the-Loop). The agents reviewed early-stage decisions, frameworks, and design patterns from the project’s documentation.

Key Highlights

  • Foundation First: Clear emphasis on modular, scalable backend structure using Vite & React.
  • API Vision: Initial discussions on routing logic, multi-agent memory, and RAG integration.
  • Human-AI Balance: Paul Wolfe outlines how backend architecture can empower human validators and content contributors without overwhelming them.
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Keywords
AIhuman-in-the-loop