AI tools like Clay, Claude, and Notion custom agents let non-engineers automate workflows and think computationally about their jobs. The key is adopting an engineering mindset: prioritize automation, iterate constantly, and you'll compound value as the tech stack evolves.
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To wrap up today's conversation, we, we, we really unpack what go-to-market engineering actually looks like in practice. From, you talked about moving grunt work up a layer of abstraction with AI, uh, and, and building systems that, uh, let teams think more like engineers but without ever having to touch Python. And we dug into how to prioritize what to automate, uh, what tools like Clay, Claude, Open Claude, Notion custom agents, and Attention are what they're actually good for. And we talked about the mindset shift that operators need to stay relevant as, as the stack continues to evolve. I think finally, if there's one takeaway from this conversation with you, Yash, it's that the people who learn to think computationally about their workflows and then keep iterating, these are the ones that are, are gonna compound the most value over the next few years.