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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.