---
id: "hamel-husain-ai-evals-faq"
title: "AI Evals FAQ"
creator: "Hamel Husain and Shreya Shankar"
creator_url: "https://hamel.dev/blog/posts/evals-faq/"
url: "https://hamel.dev/blog/posts/evals-faq/"
level: "intermediate"
level_max: null
category: "evaluation"
subcategory: "application-evals"
region: "West"
license: "closed"
license_scope: "linked-resource"
models: ["any"]
source_date: null
date_added: "2026-10-18"
---

[Evaluation](/evaluation/index.md)

# AI Evals FAQ

by [Hamel Husain and Shreya Shankar](https://hamel.dev/blog/posts/evals-faq/)

[Read the original →](https://hamel.dev/blog/posts/evals-faq/)

Practical answers about error analysis, annotation and reliable evaluators.

Husain and Shankar address recurring decisions in application evaluation, from choosing examples to checking automated judges. Use the FAQ to identify a concrete next step when an evaluation process feels too broad or ambiguous.

Level: [Intermediate](/levels/index.md#intermediate)
Models: any
Category: [Evaluation](/evaluation/index.md)
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](/evaluation/application-evals/index.md)
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](/about/index.md#facets)

Summary in our own words. Rights remain with the original creator. [Credit and correction policy](/about/index.md#credit-policy).

[Plain-text Markdown copy](/evaluation/application-evals/hamel-husain-ai-evals-faq/index.md)