llm

Overview In today’s fast-evolving AI landscape, new models emerge daily, pricing structures change, and performance improvements happen constantly. Building applications tightly coupled to a single LLM provider creates technical debt and limits your ability to adapt. This guide explores an architecture pattern that allows you to easily switch between different LLM providers like OpenAI (ChatGPT), Anthropic (Claude), and Google (Gemini) without rewriting your entire codebase. You’ll learn how to design flexible systems that are testable, maintainable, and future-proof....

Overview Automation, AI Workflows, and AI Agents - these terms flood our feeds daily, often used interchangeably. But they represent fundamentally different approaches to solving problems with distinct capabilities, use cases, and architectural considerations. Understanding these differences is crucial for making informed architectural decisions. Choose the wrong approach and you might over-engineer a simple problem or under-design a complex one. This guide clarifies the distinctions and helps you choose the right tool for your specific needs....