Building production AI systems that scale from machine learning to autonomous agents.

Semantic change detection

Structural diff first, then an LLM compares old and new text, then a final pass scores business impact. It catches small edits like “annually” turning into “quarterly” that carry big compliance consequences.

Multi-agent reasoning

Six LangGraph agents split the work: a planner, a retrieval agent, a change analyzer, a domain expert that rates severity, a client-impact agent, and a report generator.

Hybrid retrieval

Vector similarity runs alongside keyword search, with metadata filters for agency, version, and effective date, all over OpenSearch. Pure vector search kept missing exact regulatory terms.

Human in the loop

Anything flagged high-severity pauses for a compliance reviewer to sign off before it goes out. That one checkpoint did more for trust than any accuracy gain.