This is the real AI moat — and it's not the models. #anthropic #claude #claudecowork
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10 days. That's how long it took 10 days. That's how long it took Anthropic to build and ship Claude Anthropic to build and ship Claude Anthropic to build and ship Claude Co-work after they noticed something Co-work after they noticed something Co-work after they noticed something their product team was not expecting. their product team was not expecting. their product team was not expecting. Developers were using their own coding Developers were using their own coding Developers were using their own coding tool to organize expense receipts. It's tool to organize expense receipts. It's tool to organize expense receipts. It's not the expense receipts that are not the expense receipts that are not the expense receipts that are interesting, it's that the timeline interesting, it's that the timeline interesting, it's that the timeline reveals how Anthropic and AI-native reveals how Anthropic and AI-native reveals how Anthropic and AI-native organizations operate, and how that organizations operate, and how that organizations operate, and how that operational velocity is becoming as much operational velocity is becoming as much operational velocity is becoming as much a competitive advantage as the models a competitive advantage as the models a competitive advantage as the models themselves.
Summary
The main theme is the rapid operational velocity of AI-native organizations like Anthropic, demonstrated by their quick development of "Claude Co-work." This speed, highlighted by the unexpected use of their coding tool for expense receipts, is becoming a key competitive advantage. The takeaway is that agility and swift product iteration are as crucial as the AI models themselves in today's tech landscape.