
Better Models Don’t Kill Moats: Talking AI with Intel Capital’s Avi Bharadwaj Every company building AI right now is wrestling with the same question:

Better Models Don’t Kill Moats: Talking AI with Intel Capital’s Avi Bharadwaj Every company building AI right now is wrestling with the same question:
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
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,
Most teams meet Claude Skills as a single folder that teaches Claude how to do one thing well. That framing is correct, and it is

You’re probably past the “should we use AI agents?” question. You probably already have agents running. And now you’re starting to feel what happens when

An agent stops being a chatbot when it starts doing things you didn’t ask it to do, on its own initiative, at the right moment.

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
Stop Building Apps. Start Building Agents. Low-code was supposed to be the revolution. Drag and drop, no developers needed. But the landscape has shifted