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Modular Tech Stack

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The AI landscape changes faster than any technology market in history. In 2023, GPT-4 was the undisputed king. By 2025, it had been matched or surpassed by Claude 3.5, Gemini 1.5, Llama 3, and a dozen open-source models. In the same period, OpenAI changed pricing 6 times, deprecated 3 models, and suffered multiple outages. The companies that built their AI stack around a single provider are now facing painful migrations. This book is about building an AI stack that is provider-agnostic, future-proof, and cost-optimized through modular architecture.
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01The Modular Tech Stack02Chapter 1: The Risk of Vendor Lock-In03Chapter 2: Abstraction Layers for AI Providers04Chapter 3: Building a Model Router05Chapter 4: Multi-Provider Strategies for Resilience06Chapter 5: Cost Optimization Through Provider Switching07Chapter 6: Testing Across Different AI Backends08Chapter 7: Case Studies of Modular Architectures
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