Jack Zhou
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Agent EngineeringHow we use Alyx to build Alyx: How to build an AI agent feedback loop
How Arize uses Alyx to debug Alyx: searching dense traces, aggregating failures, triaging dogfooding issues, and closing the AI engineering feedback loop. Chris Cooning Sally-Ann DeLucia Priyan Jindal Jack Zhou May 13, 2026 10 min read -
Agent EvaluationHow Arize tests AI agents with traces, evals, and CI/CD
Lessons from building and shipping Alyx, our AI agent Sally-Ann DeLucia Chris Cooning Priyan Jindal Jack Zhou May 5, 2026 9 min read -
Agent EngineeringManaging Memory in AI Agents: Beyond the Context Window
This is part two of our deep dive series on how we built Alyx 2.0, our AI engineering agent. Watch us discuss it above, or keep reading for… Chris Cooning Priyan Jindal Sally-Ann DeLucia Jack Zhou March 19, 2026 10 min read -
Agent EngineeringHow to Build Planning Into Your Agent (The Architecture That Actually Works)
2025 was supposed to be the year of agents. And for the most part, it wasn’t. The industry was full of hype, demos looked incredible, but when you… Chris Cooning Priyan Jindal Sally-Ann DeLucia Jack Zhou March 5, 2026 11 min read -
Agent EngineeringAlyx 2.0: The AI Agent That Actually Plans
Two years ago, we started building Alyx with GPT-3.5, a vision, and honestly, no clear path forward. Agents were a buzzword. The models were rough. Tool calling was… Sally-Ann DeLucia Jack Zhou Chris Cooning Aman Khan February 24, 2026 6 min read
Don’t ship vibes.
Arize gives AI teams observability and evals to understand and improve agent performance.