---
title: "Discussion on \"Agentic AI Deep Dive — Evaluation & Production\" | Hashnode"
description: "Discussion on \"Agentic AI Deep Dive — Evaluation & Production\". Part 9 of 9 — Agentic AI: A Deep Dive from First Principles"
url: "https://hashnode.com/posts/agentic-ai-deep-dive-evaluation-production/6a245cd2d58fd40c3a48bdc5"
---

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# [Agentic AI Deep Dive — Evaluation & Production](https://eshaninamdar.hashnode.dev/agentic-ai-deep-dive-evaluation-production?utm_source=hashnode&utm_medium=feed)

Part 9 of 9 — Agentic AI: A Deep Dive from First Principles

Jun 6 · 12 min read · eshaninamdar.hashnode.dev  
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-   [#ai-engineering](https://hashnode.com/tag/ai-engineering)
-   [#ai](https://hashnode.com/tag/ai)

## Written by

[Eshan Inamdar](https://hashnode.com/@eshaninamdar)

@eshaninamdar · Bangalore, India

  
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## Responses 1

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[MLAI Digital](https://hashnode.com/@mlaidigital)

[Jul 16](https://hashnode.com/posts/agentic-ai-deep-dive-evaluation-production/6a245cd2d58fd40c3a48bdc5/comment/6a587c0c15dabb38a7f63cf7)

Really enjoyed this article. Evaluation is one of the most important aspects of deploying AI agents, yet it's often treated as an afterthought. A successful production system needs more than benchmark scores. It also needs continuous monitoring, regression testing, observability, and security validation.

As agents become more autonomous, evaluating how they handle edge cases, tool usage, and adversarial inputs becomes just as important as measuring response quality. We recently shared some thoughts on one part of that challenge, securing AI systems against prompt injection attacks: [mlaidigital.com/blogs/prompt-injection-attacks-in…](https://www.mlaidigital.com/blogs/prompt-injection-attacks-in-ai-real-examples-and-prevention-strategies).

Great insights, and looking forward to the next article in the series.