first hire i ever made as head of marketing was a data analyst not a designer. not a copywriter. a data analyst. because i needed someone to tell me which campaigns were actually working and which ones i was lying to myself about now every AI tool i build starts the same way. what data am i ignoring? the pattern hasn't changed in 15 years.

the founders winning right now have one thing in common they did the boring version of what AI just automated CRM setups. email sequences. customer interviews. support tickets. you can skip the execution with AI. you can't skip the pattern recognition that comes from doing it manually for years that's the real moat and nobody talks about it

last month i connected claude to our CRM and built an automated campaign workflow in a weekend. it replaced a process that used to take my marketing team 3 days every sprint. but here's what nobody talks about: i only knew WHAT to automate because i'd done it manually for 5 years. the 50 failed A/B tests. the campaigns we killed after week one. the customer interviews that completely changed our messaging. AI didn't replace that pattern recognition. it multiplied it. if you're a marketer learning to code with AI, your "wasted years" in the trenches are the actual advantage.

my old job had a 6 person marketing team and a 4 person engineering team. my entire week was translating between them. "the button needs to be higher" meant something different to each side. now i write the brief and build the thing in the same afternoon. no slack threads. no standups. no "can you clarify the requirements." turns out the bottleneck was never the building. it was the translation.

did 100 customer interviews in my career. in person, on zoom, cold calls to churned users. most vibe coders i see ship first, ask questions never. i still interview before i write a single prompt. talked to 12 people before building my current project. 9 of them described the same pain point in almost the same words. that's when you know you have something.

the worst part of being head of marketing was the reporting. every monday: pull numbers from google analytics, hubspot, salesforce. copy paste into slides. present to execs who forgot last week's numbers. i spent maybe 8 hours a week on dashboards nobody remembered. now i'm vibe coding a tool that does all of that in one click. and the irony is, i only know what to build because i sat through all those mondays.

ran a/b tests on over 2,000 email subject lines across 4 years as a marketing manager. now when i'm prompting claude to build something, i catch myself testing 5 variations before i commit. same muscle. different tool. the people who tested everything before AI are the ones building the best stuff with it.

everyone's shipping apps right now. hackathons, weekends, lunch breaks few are asking the question i learned the hard way as head of marketing: who is this actually for? i pushed products with six figure ad budgets into markets that didn't want them. the market always wins that fight building is the easy part now. the hard part hasn't changed

spent years as head of marketing watching companies build things nobody asked for six figure ad budgets trying to manufacture demand that wasn't there now everyone's shipping AI apps in a weekend and making the same mistake, just faster the tools got better. the question didn't change: who actually wants this?

everyone's building custom AI coding agents meanwhile marketing teams are still copying and pasting between 6 different tools i started connecting claude to our CRM data last month. one workflow now does what took my team 3 days. marketing automation is about to get the same treatment dev tools got this year

the best vibe coders right now aren't engineers they're marketers who already know what to build the technical bar dropped to zero. the "what should we build" bar never moved. that's always been a marketing question.

most people learning AI are focused on the wrong skill they're learning prompting, workflows, automation but the skill that actually prints money with AI? knowing what to build and who to sell it to that's marketing. always has been the technical bar dropped to zero. the strategic bar never moved

anthropic is paying $320,000 for a copywriter. while everyone's learning to code with AI, the company building the AI is hiring humans to write. that should tell you something about which skill actually holds its value. i spent years hiring copywriters as a head of marketing. the ones worth their salary didn't just write well. they understood the customer better than the product team did. AI made building easy. knowing what to say, and who to say it to, is still the hard part.

$58k–$132k/month wellness offers are scaling with visuals like this not ugc not creator ads not doctors explaining ingredients just ai turning invisible body problems into something you understand instantly skin barrier damage becomes a scene fat cells feel trapped gut bacteria turns into characters internal imbalance looks real that’s why this works you’re not asking the viewer to understand the science you’re showing the problem right where it’s happening most of these clips follow the same pattern show the hidden issue zoom into the cause make the discomfort feel obvious then show the relief or solution same concept different wellness angles skincare gut health weight loss inflammation hormone support one visual system endless variations rt comment "bodyvisuals" and i’ll send the breakdown (follow for dm)

everyone's building apps with AI right now few are asking the question that actually matters: who is this for? spent 10 years pushing products into markets. ran CRM, promotions, campaigns, the whole stack. the founders shipping fast AND getting traction? they already know their customer. AI made building easy. knowing what to build is still the hard part.

the bottleneck used to be "can you build it" now anyone can ship an app in a weekend the new bottleneck is "can you get anyone to care" spent years as a head of marketing watching great products die because nobody figured out distribution the irony? marketers who can build now have the biggest edge in tech

head of marketing me would have killed for this setup claude drafts campaigns. APIs pull live audience data. scripts A/B test 10 versions before i even look. i don't optimise campaigns anymore i optimise the system that builds them that's the difference between a marketer and a marketer who codes

head of marketing me would have killed for this setup claude drafts campaigns. APIs pull live audience data. scripts A/B test 10 versions before i even look. i don't optimise campaigns anymore i optimise the system that builds them that's the difference between a marketer and a marketer who codes

everyone's debating which AI coding agent is best codex, claude code, cursor, gemini the real question nobody's asking: which one ships the thing your customer actually wants? i spent years as a head of marketing watching devs build features no one asked for now i'm the one building. and the first thing i check isn't "which model is smartest" it's "does this solve a real problem" the marketing brain doesn't slow down the building. it's the whole advantage.

the difference between using AI and BUILDING with AI: using: prompt → output → done building: prompt → output → connect APIs → layer tools → optimize the whole thing claude starts the conversation. external tools finish it. that's how one workflow becomes ten.