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How to Know If Your AI Agent Is Any Good: Evals With Phoenix & Claude — Laurie Voss, Arize AI

An LLM judge is itse…

The human bottleneck…

Eval type should be …

Eval prompts are tre…

Tracing is treated a…

Quality is engineere…

From Vibes to Production: Evaluating and Shipping AI Agents That Work 101 — Laurie Voss, Arize AI

Grade the outcome, n…

Error analysis must …

An LLM judge rubric …

Observability is a p…

Agents require span-…

Code evals and LLM-a…

Manual human review …

How We Built an Agent That Improves Itself — Zubin Aysola, Weights & Biases

Agent capability is …

The offline research…

The self-improvement…

Evaluation records e…

The agent's highest-…

The same tracing sub…

The Agent Development Lifecycle 101 by Harrison Chase

The monitoring stage…

Online evals are exe…

Evaluation can be gr…

Agent construction i…

Virtual filesystems …

At organizational sc…

Context cost is mana…

Stop Shipping on Vibes — How to Build Real Evals for Coding Agents

On coding-agent bug-…

The failure mode of …

Tracing breaks at pr…

The eval framework i…

Experiments must be …

Behavioral over-opti…

Effective evals are …

[Evals Workshop] Mastering AI Evaluation: From Playground to Production

Because model behavi…

An eval is factored …

Evaluation splits in…

Production traces ar…

Scoring is deliberat…

Observability is att…