Your AI Product Needs Evals
by Hamel Husain
Build a feedback loop from real failures, not general benchmark scores.
Husain explains how domain-specific tests, trace inspection and human or model judgments work together. The product case study shows why evaluation should guide changes to the application rather than be added only after a demo works.
- Level
- Intermediate
- Models
- any
- Category
- Evaluation
- Tags
- Source date
- date not stated
- Added
- 2026-10-18
- Last verified
- 2026-10-18
- Status
- ok
- Prerequisites
- Assumes basic LLM familiarity or the ability to read examples and configure a workflow.
- Subcategory
- application evals
- Region
- West
- Original language
- en
- Access
- free
- Resource reuse
- closed: No general open-reuse grant established from the inspected page. Closed is the conservative index bucket, not a legal finding; the resource is publicly readable. Facet definitions
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