Personal Project

Claude Code AI System: Multi-Source Research Agent

Builder & Architect|

Active

10 parallel

Research Sources

<90 seconds

Research Speed

4-stage autonomous

Dev Workflow

5-level pyramid

Validation

The Challenge

Needed a system that could research comprehensively from multiple sources (not just Google), detect when sources disagree on facts, generate content in a consistent personal voice, and develop features autonomously — plan, implement, validate, and commit code.

The Approach

Built three integrated systems: (1) Multi-Source Research Agent — parallel queries across 10 sources (HackerNews, Reddit, ArXiv, GitHub, YouTube, RSS, Obsidian vault) with semantic deduplication and conflict detection, (2) Autonomous Feature Development — 4-stage command framework (Prime → Plan → Execute → Commit), (3) 5-Level Validation Pyramid — gated quality system from syntax through human review.

Key Learnings

Deep Claude Code expertise — built sophisticated slash commands and workflows
Production AI systems, not demos — systems used daily
End-to-end thinking: Research → Content → Development → Validation
The system I built for myself is the same architecture I can build for clients