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A VP of Engineering rolls out an AI coding agent to a few hundred developers. A quarter later, finance asks why the AI line doubled.
You run product at a company that sells a professional desktop application. Your pricing rests on one assumption: a rival would need years and a
An Anthropic-certified forward deployed engineer is a senior embedded engineer with certified expertise in Claude and the Anthropic stack who deploys Claude inside your business
Most automation tells a system exactly what to do: run these steps, in this order, every time. Goal automation is different. You hand an agent
In the last guide we defined the agent harness as the runtime that turns a model into an agent: the loop, the tools, the context
A language model, on its own, is not an agent. It reads a prompt and returns text. It cannot run a command, read a file,
Claude Skills are the answer to a problem every team using AI hits eventually: the same context, the same instructions, the same setup, retyped at
Once your team gets past the first month of working with Claude, two things start happening at the same time. Useful work gets bigger. And
Anthropic now ships three ways to put Claude to work, and the names make them sound like rivals. They are not. Claude, Claude Code, and
The conversation about AI agents has moved fast. A year ago it was about whether agents worked at all. Six months ago it was about
