Obsidian Metadata

type	concept
sources	Source - AI Evals FAQ

Minimum Viable Eval Setup

Start with Error Analysis, not infrastructure.

• Spend 30 minutes manually reviewing 20–50 LLM outputs whenever you make significant changes.
• Use one domain expert who understands your users as the quality decision-maker (a Benevolent Dictator).
• Use a notebook to review traces and analyze data, or have an AI coding assistant (Claude, Codex) build a small custom annotation interface. Either way you can write arbitrary code, visualize data, and iterate quickly (see the video “Build Your Own Eval Tools With Notebooks!” in Video Library).
• Log Traces so there’s something to review.
• Add cheap assertions for obvious objective failures.
• Hold off on LLM judges, dashboards, and vendor platforms until error analysis tells you what matters.

Next steps: follow the Eval Playbook.