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title: "Discussion on \"Building AI-Powered Backend Services: Why Most Integrations Break in Production\" | Hashnode"
description: "Discussion on \"Building AI-Powered Backend Services: Why Most Integrations Break in Production\". Five reasons LLM integrations fail silently in production — output validation, prompt versioning, fallbacks, token limits, and cost monitoring"
url: "https://hashnode.com/posts/building-ai-powered-backend-services-why-most-integrations-break-in-production/6a8907a9509c2b64e03bde79"
---

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# [Building AI-Powered Backend Services: Why Most Integrations Break in Production](https://blog.madhav.dev/building-ai-powered-backend-services-why-most-integrations-break-in-production?utm_source=hashnode&utm_medium=feed)

Five reasons LLM integrations fail silently in production — output validation, prompt versioning, fallbacks, token limits, and cost monitoring

Aug 22 · 4 min read · blog.madhav.dev  
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## Written by

[Madhav Bhasin](https://hashnode.com/@madhavbhasin)

@madhavbhasin · Noida, India

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

Production patterns for backend engineers who are tired of hello-world tutorials.

Senior full-stack engineer and engineering lead with 5+ years building cloud-native systems at scale. I write about the things the docs don't cover — GCP, FastAPI, Terraform, event-driven architecture, and AI-powered backends. No hello-world demos.

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