Ed Coughlin / AI Clarity

Ed Coughlin – System Architect

AI Engineering – AI Observability – Public Interest

Advancing safe and effective AI

AI Engineering structures the information provided to an AI agent to maximize relevant responses. It’s also used to prevent misinformation from being sent back to the sender.

AI Observability provides visibility into how agentic pipelines perform in practice by tracking inputs, outputs, decisions, latency, and token usage (cost).

Public Interest in the context of AI, includes raising public awareness through education to advance safe and effective interactions between the public and AI agents.

Resources

See all 6+
Sunburst test
NHTSA Self Driving Car Accidents2025-2026 Fatalities, hospitalizations, and minor injuries
U.S. Aviation Incidents
FDA AI Medical Device Adverse Events1St Quarter 2026
Cross asset returnsComparison of returns across SP 500, Dow Jones and WTI
Foreign exchange flowsForeign exchange flows vs volume

Videos

See all 1+