Over the past few weeks I've been looking closely at the new generation of AI marketing products. The pattern is familiar: one agent for SEO, one for X, one for LinkedIn, one for Reddit, another for content, analytics, images, email, and strategy. Every product seems to be assembling its own miniature AI marketing department. On the surface, that sounds ideal for technical founders. But I think we're at risk of recreating the exact problem founders already have — the founder still has to decide what everybody should do.
More capacity doesn't create more clarity
AI has made marketing production dramatically easier — a founder can generate twenty posts, five articles, and an email sequence before lunch. That's real leverage. It can also create a lot of work that looks like progress but has no clear relationship to the company's actual constraint. More production is valuable when it's pointed at the right bottleneck; without that diagnosis, it just helps a founder move in the wrong direction faster.
Not every marketing problem is a content problem
Two founders can both say "I need more traffic." One has a discoverability problem; the other has visitors who arrive and leave without understanding why they should care — a positioning problem. Both can be handed an article-writing agent. Only one is likely to benefit immediately.
What marketing software should decide
The next generation shouldn't hand a founder sixteen agents — it should diagnose the constraint and recommend the next job, with reasoning attached. That's increasingly how I think about Chad: study the product and audience, diagnose what's preventing growth, prioritize one job, complete it with evidence, and use the result to choose the next one.
Originally published on Medium.