Practical guides, field notes & frameworks for reliable AI agents.
Code-first for engineers. Quality frameworks for product managers. Operating models for leaders.
Best LLM and agent evaluation platforms: A comparison
The best LLM evaluation platform is the one that can evaluate the units your application actually produces, run consistent quality criteria before and after deployment, align automated scores with human judgment, and turn failures into reproducible…
What’s an agent observability platform?
Learn why APM fails for autonomous agents and how an agent observability platform uses trace-centric analysis and evaluation workflows to prevent failures.
AI agent tracing and evaluation: The complete developer guide
Learn how to trace and evaluate AI agents across spans, trajectories, and sessions. Build reliable evals with OpenTelemetry, OpenInference, and Arize AX.
Agent harnesses: How to trace, evaluate, and improve AI agents
Learn how agent harnesses use tracing and evaluations to make AI agents observable, testable, safer, and easier to improve in production.
Latest field notes & frameworks.
Hamel Husain explains why AI evals fail before the evaluation begins
Hamel Husain explains why ambiguous inputs, generic metrics, and disconnected review workflows can make AI evaluations misleading, and how developers can build…
From Signal to PR: What if your agents got better every time they failed?
Signal, a managed agent built into Arize AX, continuously reviews production traces, surfaces ranked issues with evidence and proposed fixes, and —…
How to improve agent skills with tracing and evals
A skill cut agent costs by 44% and latency by 56%, but also reduced answer completeness. Here’s how tracing, evals, and a…
Real teams, shipping AI.
How Booking.com scales AI observability with Arize
How Booking.com built a unified AI observability stack with Arize for agentic GenAI workflows and traditional ML — from telemetry collection and…
How TheFork Leverages Online Evals To Boost Conversions with Arize AX on AWS
TheFork is one of Europe’s leading restaurant discovery and booking platforms, connecting millions of diners with tens of thousands of restaurants across…
How Handshake Deployed and Scaled 15+ LLM Use Cases In Under Six Months — With Evals From Day One
Handshake is the largest early-career network, specializing in connecting students and new grads with employers and career centers. It’s also an engineering…
Demos, workshops & conference talks.
An agent got the right answer the wrong way | Michael Grinich, WorkOS
When you tell an AI agent that it’s critical to pass all code tests, it might just resolve the problem by deleting the test suite entirely so nothing can fail.
Don't ship vibes.
Trace, evaluate, and continuously improve your agents — built on open source & open standards.