Quality & Security / Evals & Testing
Hamel Husain: It's Hard to Eval Is a Product Smell
Product-oriented argument for making AI outputs inherently easy to verify before layering on evaluation tooling.
Operator context
Best for
Teams measuring whether AI systems behave reliably before and after release who value practitioner-led guidance and examples.
Why it's here
Product-oriented argument for making AI outputs inherently easy to verify before layering on evaluation tooling. We included it because it brings a practitioner perspective from Hamel Husain into the evals & testing section of the Index.
When to use it
- Evaluate prompts, models, or agent behavior
- Create repeatable tests for an AI workflow
- Use Hamel Husain's perspective as an input to a technical or product decision
Where this fits
Indexed under Quality & Security → Evals & Testing. Captured in the August 2026 edition, sourced via Hamel Husain.
Common questions
What is Hamel Husain: It's Hard to Eval Is a Product Smell? +
Hamel Husain: It's Hard to Eval Is a Product Smell is Product-oriented argument for making AI outputs inherently easy to verify before layering on evaluation tooling.
Which AI models does Hamel Husain: It's Hard to Eval Is a Product Smell work with? +
It is tagged for: Model-agnostic.
Where can I access Hamel Husain: It's Hard to Eval Is a Product Smell? +
It is available at hamelhusain.substack.com.
The AI Operator's Index is maintained by EE Solutions. EE Solutions is a senior technology team for private capital firms and their portfolio companies.
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