A format designed for bloggers in 2004 now sits at the center of how AI systems read, write, and think. Table of contents How we got here If you work with LLMs at all, you’ve probably noticed something: Markdown is everywhere. Ask Claude a question, you get Markdown back. Ask GPT-4, same thing. Feed a […]
Read More →LLMs are stateless. Agents aren’t. Here’s what sits in between. Table of contents Introduction LLMs are stateless by design. Each API call is independent — the model has no mechanism to remember what happened in a previous request. But somehow, the agents built on top of these models maintain context across long conversations, recall user […]
Read More →Listen up, engineers. We are past the “wow” phase. You know what an LLM is. You’ve likely integrated an API, generated some boilerplate code, and maybe even built a RAG pipeline. But here is the hard truth: if you are pasting the exact same prompt into GPT, Claude Sonnet, and Llama using the same strategy, […]
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