Author
John Gilhuly
John Gilhuly is an AI Engineer and developer advocate at Arize AI, a leading platform for AI observability and LLM evaluation. Previously, Gilhuly held technical roles at Branch and Slingshot AI. He has an MBA from Stanford University and studied Computer Science at Duke University.
Recent posts
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Agent EngineeringArize Observe 2025 – Product Releases
Arize Observe 2025 brought a wealth of new product releases, including a redesigned copilot, agent eval options, and state-of-the-art prompt optimization techniques. Check them all out below! Copilot… John Gilhuly June 25, 2025 7 min read -
Agent EngineeringIntroducing GraphQL for Humans – Building a Text-To-GraphQL Agent In a Weekend
Working with GraphQL can often feel overwhelming, especially when you’re navigating massive schemas with tens of thousands of lines. Writing GraphQL queries is often a time-consuming task prone… Anthony Abercrombie Lucas Moehlenbrock John Gilhuly June 17, 2025 3 min read -
Agent EvaluationIntegrating Arize AI and Amazon Bedrock Agents: A Comprehensive Guide to Tracing, Evaluation, and Monitoring
In today’s rapidly evolving AI landscape, effective observability into agent systems has become a critical requirement for enterprise applications. This technical guide explores the newly announced integration between… John Gilhuly April 24, 2025 10 min read -
AgentsArize Phoenix: 2024 in Review
2024 was Arize Phoenix‘s biggest year ever. Granted, it was also Phoenix’s first full year ever, but given how much we crammed into this year we think it… John Gilhuly December 30, 2024 3 min read -
Agent EngineeringAI Agent Workflows and Architectures Masterclass
While popular imagination and industry discourse can paint AI agents as complex autonomous systems with a mind of their own, practical implementations are far more straightforward. While specific… John Gilhuly December 4, 2024 5 min read -
Agent EngineeringWhat is AutoGen?
Thanks to Ali Saleh for his contributions to this piece. AutoGen is a framework that helps you easily create multi-agent applications. Multi-agent applications are a relatively recent idea… John Gilhuly November 14, 2024 5 min read -
Prompt EngineeringHow to Make Your AI App Feel Magical: Prompt Caching
Credit to Harrison Chu for the research behind this post A key ingredient to making your AI app feel “magical” is speed—snappy feedback enhances user experience significantly. Companies… John Gilhuly November 1, 2024 2 min read -
Agent EngineeringOpenAI Swarm Explained: Multi-Agent Orchestration
Last week, OpenAI introduced Swarm, the latest addition to the rapidly evolving multi-agent framework space. Swarm joins the ranks of frameworks like CrewAI and Autogen, pushing the boundaries… John Gilhuly October 15, 2024 5 min read -
Agent EngineeringBuilding AI Assistants with Vectara-agentic and Arize
Thanks to the Vectara team for contributing this post! Introduction Retrieval-Augmented Generation (RAG) is a framework that enhances the capabilities of large language models (LLMs) by integrating external… Ofer Mendelevitch John Gilhuly October 3, 2024 6 min read -
AI ObservabilityTracing a Groq Application
Special thanks to Duncan McKinnon for his contributions to this post Tracing Groq Applications with Arize If you’re working with LLMs and using the Groq package to make… John Gilhuly September 16, 2024 5 min read
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Arize gives AI teams observability and evals to understand and improve agent performance.
