---
title: "Evals in Laravel: How to Prove Your AI Output Is Actually Good"
url: https://daily.dev/posts/evals-in-laravel-how-to-prove-your-ai-output-is-actually-good-v8xwwmodq
source_url: https://freek.dev/3132-evals-in-laravel-how-to-prove-your-ai-output-is-actually-good
type: article
source: "FREEK.DEV"
published: 2026-06-08T12:26:23.843Z
updated: 2026-06-08T12:26:41.013Z
tags: ["testing", "llm", "php", "laravel"]
reading_time: 1
upvotes: 1
comments: 0
language: en
---

> ## Documentation Index
> Fetch the complete documentation index at: https://daily.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Evals in Laravel: How to Prove Your AI Output Is Actually Good

**[FREEK.DEV](https://daily.dev/sources/freek)** · 1 min read · 1 upvotes · 0 comments

## Summary

Standard Laravel AI tests using Agent::fake() only verify that code runs, not that AI output quality is acceptable. This post covers building a proper evaluation pipeline for a ticket classifier using the Laravel AI SDK: a golden dataset for deterministic fields, an LLM-as-judge approach for free-text outputs, and a regression gate to catch prompt regressions before they reach production.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://freek.dev/3132-evals-in-laravel-how-to-prove-your-ai-output-is-actually-good>

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---

Tags: [#testing](https://daily.dev/tags/testing), [#llm](https://daily.dev/tags/llm), [#php](https://daily.dev/tags/php), [#laravel](https://daily.dev/tags/laravel)

[View this post on daily.dev](https://daily.dev/posts/evals-in-laravel-how-to-prove-your-ai-output-is-actually-good-v8xwwmodq)
