Architecting the convergence of Agentic AI, Computational Law, and Strategic Capital.
My primary research focuses on reducing the "hallucination gap" in legal tech. By utilizing SQL-backed data structures for document retrieval and multi-step reasoning agents, I am building systems capable of drafting and verifying compliance against US Law.
Exploring the "CEO Agent" concept: a swarm of specialized AI agents managed by a central coordinator to handle capital allocation and project management.
A comprehensive "Playbook" and agentic system designed to ingest regulatory documents and provide actionable legal summaries. Currently optimizing the data ingestion pipeline for federal registry updates.
A custom trading application interfacing directly with the Interactive Brokers API. The system automates trade execution based on user-defined risk tolerance and real-time market signals.
A set of recursive documentation and strategy files designed to be re-uploaded to LLMs, effectively allowing an AI to maintain long-term "memory" and strategic direction for a company.
In-depth analysis on the intersection of US Policy and Artificial Intelligence is currently in drafting.