AI Engineering
Building with LLMs in production is nothing like the demos. This series covers the OpenAI and Anthropic APIs, prompt engineering that survives real users, RAG pipelines that don't hallucinate, streaming responses, function calling, evaluation frameworks, fine-tuning tradeoffs, cost management, and the security considerations that most AI tutorials skip entirely. Every article includes real numbers: token counts, latency, cost per 1,000 calls, and where the approach breaks.
