---
title: "Discussion on \"Building an LLM Judge That Doesn't Lie to You\" | Hashnode"
description: "Discussion on \"Building an LLM Judge That Doesn't Lie to You\". Structural guardrails, multimodal inputs, and a fixed-weight violation catalogue for trustworthy AI evaluation"
url: "https://hashnode.com/posts/building-an-llm-judge-that-doesnt-lie-to-you/69cbd5ea71599e7829dd54e3"
---

[Feed](https://hashnode.com/feed) /

Discussion

# [Building an LLM Judge That Doesn't Lie to You](https://tebza.hashnode.dev/building-an-llm-judge-that-doesnt-lie-to-you?utm_source=hashnode&utm_medium=feed)

Structural guardrails, multimodal inputs, and a fixed-weight violation catalogue for trustworthy AI evaluation

Mar 31 · 9 min read · tebza.hashnode.dev  
Read the article

-   [#ai](https://hashnode.com/tag/ai)
-   [#evaluation](https://hashnode.com/tag/evaluation)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#testing](https://hashnode.com/tag/testing)

## Written by

[Tebogo Tseka](https://hashnode.com/@Tebza)

@Tebza

  
[View profile](https://hashnode.com/@Tebza)

Building with AWSomeness

## Responses

Markdown supported · ⌘↵ to post

No responses yet.