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AI research assistant — multi-agent pipelines that decompose questions into structured analysis
Markdown, Python, AI Orchestration
Overview
A structured workspace for orchestrating multi-agent research sessions. Each thread produces self-contained research outputs using a template-driven pipeline with AI agents for research, critique, and synthesis.
Technical Highlights
- Thread-based architecture — each research topic lives in its own directory with data, analysis, and outputs
- Multi-agent pipeline — prompt-engineer, researcher, critic, and planner agents collaborate on each output
- Reproducible builds — Python build script compiles threads into distributable formats