A no-fluff guide to getting started with the OpenAI API. Covers core concepts, multi-turn chat, structured output, streaming, function calling, and error handling with real Python code you can use today.
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Anthropic's Computer Use and OpenAI's Operator grabbed the headlines, but the open-source ecosystem quietly shipped the real thing. Here's how to build browser automation agents with any LLM — including local models — using Browser Use and Playwright today.
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GPT-4 function calling is the cleanest interface between natural language and your code — but most developers underuse it. This guide covers schemas, parallel calls, structured extraction, robust error handling, and the production patterns that separate demos from real systems.
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Traditional RPA scripts break every time a UI changes. Self-healing browser automation uses LLMs and computer vision to fix broken selectors at runtime — automatically. Here's how RPA 2.0 works and how to build it today.
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Stop hand-waving through RAG architecture. This guide builds a complete retrieval-augmented generation system from scratch using LangChain and OpenAI — with real code, real chunk strategies, and the failure modes nobody warns you about.
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Your OpenAI bill doesn't have to scale linearly with your usage. This guide covers model routing, prompt compression, semantic caching, and the Batch API — practical techniques with code to cut costs 40–70% without degrading output quality.
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