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.
Oktay Ateş
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.
Oktay Ateş
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.
Oktay Ateş
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.
Oktay Ateş
Streaming LLM responses isn't just a visual trick — it's a foundational architecture decision. Learn how to implement real-time token streaming in Python and JavaScript, avoid production gotchas, and instrument the metrics that actually matter.
Oktay Ateş
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.
Oktay Ateş
LangChain or LangGraph? If you're building a serious AI application, this is the first real architectural decision you'll face. Here's the practical breakdown: when each framework wins, where they fail, and why most production systems end up using both together.
Oktay Ateş
Keyword search misses too much. Here's how to build a working semantic search system with embeddings in under 100 lines of Python — with real code you can run today.
Oktay Ateş