The Army of One
The one thing you need to know in AI today | AI-Ready CMO
This is Austin Lau. If you have never heard of him, don’t feel bad. It will all make sense in a minute, I promise.
Lau was Anthropic’s first growth marketing hire and managed paid search, paid social, app store optimization, email, and SEO for nearly ten months all by himself.
Let’s get the facts straight first, because the internet already mangled this one. Anthropic — a company now valued at $380 billion — does have brand, product marketing, and comms teams. Their Super Bowl ad wasn’t a one-man job. But the performance marketing engine — the part that’s measurable, iterative, and directly tied to growth — was.
As you surely know, growth marketing at a company of this size is usually handled by a team of a dozen people.
So, how did Lau do it? Claude Code, without any programming background (he literally had to Google how to open the Terminal app on his Mac, as he admitted this in his interview video on YouTube). What he discovered was that he could describe a problem in plain English and have Claude Code build working software for him. Not prototypes or mockups but actual tools he used in production, every day. Within a week of installing it — out of sheer curiosity, after a colleague shared a setup guide on Slack — he had built two automated workflows that changed how he operated.
First, Lau managed high volumes of visual ad assets, and creating copy variants meant manually duplicating frames, switching between Google Docs and Figma, and copy-pasting headlines one by one across multiple aspect ratios. Half an hour per batch, easily. His plugin, written by Claude Code, does it in 30 seconds.
The second workflow automated Google Ads copy generation using two specialized sub-agents — one for headlines (30-character cap) and one for descriptions (90-character cap) — because a focused agent with a single job and strict constraints will outperform a general-purpose prompt trying to do everything. He also wired up a Meta Ads integration that lets him analyze campaign performance directly inside Claude, no dashboard required. Ad creation went from two hours to fifteen minutes. Creative output went up tenfold.
None of this required him to write code. Indeed, he did not write a single line of it. He described problems in English and iterated.
The approach is almost disappointingly methodical. Identify the repetitive parts of your workflow. Check if they have API access (or ask Claude to check it for you). Break them into focused sub-tasks. Automate each one separately. Most of us skip that first step entirely — we don’t sit down and actually deconstruct how we work before trying to improve it. Lau did, and that turned out to be the real game-changer, not the AI itself.
Our job isn’t shrinking. It’s shapeshifting. The hours Lau saved on copy-pasting headlines and counting characters got redirected to strategy, creative judgment, and running more experiments than most full teams manage in a quarter.
He still reviews every piece of generated copy personally. Is the value proposition clear? Does the tone match? Does it differentiate from competitors? The AI doesn’t answer those — you do. But the mechanical grunt work is a solved problem for anyone willing to invest a few days in setup.
— Torsten and Peter
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