Every chat with Claude starts with a hidden briefing. Anthropic publishes it. Here’s what’s in it, why it exists, and how it grew roughly 40x in just over two years. Table of Contents TL;DR What is a system prompt? Picture Claude as a brilliant new hire who has read most of the internet, then got […]
Read More →Imagine hiring a brilliant assistant, handing them a 200-page manual, and asking a question. They read all 200 pages, answer, and then promptly forget everything. Next question? They read all 200 pages again. And you pay them by the page. That’s roughly how large language models (LLMs) work by default. Prompt caching is the fix. […]
Read More →On June 9, 2026, Anthropic released Claude Fable 5, their most capable model available to the general public. Three days later, the US government ordered them to shut it off. No geographic carve-out. No targeted users. Everyone. What happened in those 72 hours is as revealing as anything we’ve seen in frontier AI deployment: a […]
Read More →Your agentic app just ran a search. The tool returned 500 results as JSON. Your agent appended all of it and fired off an API call — 45,000 tokens to answer a question that needed maybe 4,500. Tejas Manohar, a senior engineer at Netflix, hit this problem every day. He was running out of tokens […]
Read More →Claude Code can show a status line at the bottom of the terminal: a thin bar that updates as you work. It is easy to ignore until you start hitting context limits or wondering what a session actually cost. The bar keeps that kind of signal in peripheral vision so the main transcript stays focused on the […]
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