---
id: "action-build-eval-harnesses"
type: "action-item"
source_timestamps: ["00:07:19", "00:07:35"]
tags: ["testing"]
related: ["concept-evaluation-quality-judgment"]
action: "Construct automated tests that yield objective pass/fail results for AI outputs."
outcome: "Objective, measurable proof of AI system quality and reliability."
speakers: ["Nate B. Jones"]
sources: ["s42-job-market-split"]
sourceVaultSlug: "s42-job-market-split"
originDay: 42
---
# Build Evaluation Harnesses

## Action

Do **not** rely on 'vibes' to judge AI output. Instead:

- Construct **automated evaluation tests** and simulation runs.
- Test functional tasks against **longitudinal metrics** (so regressions are visible).
- Make every eval reproducible: multiple engineers should independently reach the same pass/fail conclusion.
- Include **edge cases** (see [[concept-edge-case-detection]]) and **adversarial inputs** to catch [[concept-sycophantic-confirmation]] and [[concept-silent-failure-d42]].

## Skill it operationalises

[[concept-evaluation-quality-judgment]] — the second skill in [[framework-7-ai-skills]].

## Where to find demand for this

Explicit job postings on [[entity-upwork]] demand exactly this artifact.

## Expected outcome

Objective, measurable proof of AI system quality and reliability.