Project Details
DARIO Research Agent
5-phase AI research system that masters any domain from absolute zero
What I Built
Designed the 5-phase research methodology and built the complete agentic pipeline with source tiering and verification gates
Key Outcomes
Tech Stack
Project Overview
Domain Acquisition through Recursive Intelligent Orchestration — a Claude-powered agentic research system that takes a topic label and produces a comprehensive, source-backed research report. Runs a 5-phase pipeline: Discover (map the landscape), Authorities (find experts), Reconstruct (build mental model), Interrogate (stress-test with disconfirming evidence), and Operate (actionable deliverables). Every claim is traced to real web search results with tiered source classification (T1/T2/T3).
Built For
Researchers, founders, and anyone entering a new domain
Learning a new field takes weeks of scattered reading with no structured methodology
Key Features
5-Phase Pipeline
Discover → Authorities → Reconstruct → Interrogate → Operate
Source Verification
Every claim traced to T1/T2/T3 tiered sources with verification gate
Self-Criticism Built In
Phase 4 actively searches for disconfirming evidence to break its own model
Actionable Reports
Executive summary, deep report, and action plan with 30/60/90 day roadmap
Challenge Solved
Building an AI research system that produces genuinely useful reports instead of hallucinated content. Solved with mandatory web search for every claim and a verification gate between analysis and recommendations.
Key Learnings
- school Phase 4 (Interrogate) is what separates real research from confirmation bias
- school Source tiering prevents T3 blog posts from driving critical business decisions
- school Verification gates catch single-source claims before they reach recommendations