Click any image to explore the gallery in full screen
ESCClose←→Navigate
Overview
About This Project
🚀 Welcome to Day 0 of building Nexa — a multi-agent AI platform powered by Claude.
In this video, I walk you through the complete Product Requirements Document (PRD), tech stack, architecture decisions, and the vision for Nexa — a unified workspace where 4 specialized AI agents work together.
One platform. Infinite intelligence.
━━━━━━━━━━━━━━━━━━━━━━━━━
⏱️ TIMESTAMPS
00:00 Introduction
00:30 The Problem — Why fragmented AI tools are broken
01:15 What is Nexa? The vision and concept
02:00 The 4 Specialized Agents
02:45 Tech Stack Deep Dive
03:00 What's Next — Daily Build Logs
━━━━━━━━━━━━━━━━━━━━━━━━━
🤖 THE 4 AGENTS INSIDE NEXA
🔷 Trading Analyst — Backtests trading strategies, analyzes performance metrics, generates insights
🔷 Music Producer — Creative collaborator for music production, mixing, lyrics, arrangements
🔷 Content Strategist — Brand-voice-trained content generator for social, blogs, video scripts
🔷 Life Coach — Personality-aware coach trained on your journals and personal data
Each agent has:
✅ Its own isolated knowledge base (pgvector)
✅ Custom tools and autonomous workflows
✅ Real-time streaming chat interface
✅ Multi-step reasoning powered by Claude Agent SDK
Q: Why Claude instead of GPT-4?
A: Claude Opus 4.7 has superior reasoning for multi-step agentic workflows and better tool-use reliability.
Q: Will this be open source?
A: Undecided. Following the build first, then making that call based on community interest.
Q: How long will this take to build?
A: 10-14 weeks from kickoff to production launch.
Q: What makes this different from ChatGPT?
A: Nexa has 4 specialized agents with isolated memory, custom tools, and autonomous workflows — not just a chatbot.
This project was built using modern development practices and industry-standard technologies. The implementation focused on creating a robust, maintainable, and scalable solution that meets current business needs while allowing for future growth.
The architecture emphasizes clean code principles, proper separation of concerns, and comprehensive testing to ensure reliability and performance.