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Cameron Young, Senior Sales Engineer

Recent posts by Cameron Young

How to build a better agent harness with traces and evals

Agents are easy to prototype and hard to improve. A repeatable loop of traces, evals, failed-span inspection, and targeted harness changes makes agent behavior easier to debug and improve.

13 minutes read
Agent harness

From production traces to better AI agents: Automating the LLMOps feedback loop

Production AI traces are the raw material for better evals, prompts, datasets, and fine-tuned models. This post shows how the Arize AX Airflow Provider turns that feedback loop into scheduled, monitored LLMOps pipelines.

16 minutes read
LLMOps
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How to ship a local LLM that matches frontier LLMs with evals and prompt engineering

Most production AI features don’t need a frontier model. Here’s how capability evals and prompt engineering can help ship a local SLM that matches frontier-model quality with lower latency and cost.

14 minutes read
LLM Evals