Designing an LLM Testing Harness That Engineers Trust
Build deterministic, repeatable test harnesses for prompts, tools, and retrieval-dependent workflows.
Evaluation & Quality
Browse AI Engineering Digest articles related to Evaluation & Quality.
Explore by Topic
Evaluation Governance Trends in Regulated AI
How regulated industries are reshaping AI evaluation governance with stricter evidence, versioning, and audit requirements.
Evaluation Gating in CI for AI Releases
How to build CI gates for AI features using regression suites, policy thresholds, and release sign-off checklists.
Evaluation Dataset Management Tools Review
Review criteria for dataset management tools used in AI evaluation, including lineage control and annotation quality.
Confidence Intervals for AI Evaluation Metrics
A practical glossary entry on confidence intervals for AI metrics and why uncertainty ranges matter in release decisions.
Evaluation Dataset Drift, Explained
What dataset drift means for AI evaluations, how to detect it early, and how to keep test suites decision-relevant.
Eval-Driven Prompt Development Workflow That Scales
Design prompts with regression tests, evidence-based release gates, and clear rollback rules instead of ad hoc edits.
Confidence Calibration in AI Systems, Explained
A glossary-style guide to confidence calibration, why model scores can be misleading, and how teams use calibration in production decisions.