AI Projects FAIL in Production—Here’s the Fix #AIEngineering #LLMOps #OpenTelemetry #LangChain #AWS

Your AI prototype just got applause—but 90% of AI projects crash in production. Why? Because "works on my machine" doesn’t survive real traffic, hackers, or your CFO’s cost spreadsheet. In this video, we break down the battle-tested blueprint to turn your demo into a bulletproof AI platform. No fluff, just the hard truths and practical fixes you need to survive the chaos.

We cover:
- Why most AI projects fail (and how to avoid the pitfalls)
- The 4 pillars of production-ready AI: tools that don’t flake, scalable retrieval, guardrails, and observability
- Pro tips like async APIs, threadpools, and truncated outputs to keep costs in check
- How to treat AI like platform engineering—not just another demo

This isn’t about the best model—it’s about building systems that survive outages, cost spikes, and users who break everything. If you’ve ever struggled with the "demo-to-production" gauntlet, this is your survival guide.

Drop a comment with your war stories—what’s the biggest AI production nightmare you’ve faced? And if this helped, smash that like button before your boss asks why your AI costs $10K/month.

#AIEngineering #LLMOps #ProductionReady #AI #MachineLearning #DeepLearning #OpenTelemetry #LangChain #HuggingFace #AWS #GCP #Azure #Kubernetes #Docker #Python #FastAPI #PostgreSQL #Redis #VectorDB #Pinecone #Weaviate #LLM #GenerativeAI #AIAgents #Observability #DevOps #MLOps #Tech #Coding #SoftwareEngineering #NoMoreDemos

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Видео AI Projects FAIL in Production—Here’s the Fix #AIEngineering #LLMOps #OpenTelemetry #LangChain #AWS канала Bloom with Abhi