Théo Perochon
Presentation
Théo is a doctoral researcher integrating an advanced artificial intelligence environment to manage scientific knowledge for his thesis project. He has extensive experience in designing and orchestrating multi-agent AI systems, currently managing a highly customized team of 11 distinct AI agents to assist with his research. His methodology is aimed at reducing AI hallucinations and improving productivity by structuring vast amounts of scientific literature into dynamic knowledge graphs using interconnected Markdown files. By leveraging platforms like Cursor and dynamically adjusting language models to optimize both performance and energy costs, his ultimate goal is to transform passive reading into an interactive, co-written ecosystem that directly supports his scientific experiments and knowledge discovery.
Cytopia Contributions
| Date | Title | Author |
|---|---|---|
| Jun 10, 2026 | Autobiography of AI Agents in a PhD Student’s Research Ecosystem |