A performance marketing agency hired us last year on retainer. Not for brand work. For vibe coding.
The goal: build the AI tools that would let the agency move faster. Automate the boring parts. Stack the workflows. We shipped apps. We shipped more apps. Then we hit a wall: we had nowhere to point the apps towards.
The owner had assumed something a lot of smart people assume right now: that if you produce enough, the direction will reveal itself. It is a very 2025 belief and it is wrong.
What actually happened
After a stretch of building, the agency had a stack of working tools and no clearer sense of where the business was going than when we started. Faster operations, no sharper company. The apps did what they were supposed to do. They just didn't add up to anything.
The standstill was in fact a positioning problem dressed up as a productivity problem.
So we stopped building. We shifted the work to brand direction. Where was the agency going? What were they not anymore? What did their conservative corporate clients actually need from them in an AI world, with rigid regulations in place?
Once those questions had real answers, the next question, what to build, became almost trivial.
The pattern
We keep seeing this in different shapes.
A founder ships ten landing page variants and runs ads against all of them, hoping conversion data will tell them what their product is for. It doesn't. It tells them which of ten unclear options is least bad.
A team writes fifty LinkedIn posts a month, generated by AI, hoping reach will tell them what their voice is. It doesn't. Reach rewards the loudest of the same things everyone else is saying.
An agency builds AI automations across its workflow, hoping efficiency will reveal a strategy. It doesn't. Faster of the same thing is just the same thing.
This is the era we are in. AI made production cheap. Truly cheap. You can ship more in a week than most teams shipped in a year a decade ago. So the temptation is to fix every problem by producing more.
But production answers questions of capacity. The real questions, the ones that decide whether the work compounds, are direction questions.
What are we for, exactly?
What are we not anymore?
Who is this for, specifically?
What should change for them?
None of those get answered by shipping more.
Why now is different
There was always a version of this trap. Pre-AI, you noticed it less because production was expensive enough to slow you down. The expense itself forced a kind of consideration. You had to know what the brochure was for, because the brochure cost real money.
AI removed that friction. You can now produce in fifteen minutes what used to take a week. The cost of being wrong went down a hundredfold. Which sounds great, until you realize the cost of being unclear went up by the same amount.
When everyone can produce, the only edge is what to point production at. The bottleneck moved upstream. It is no longer "can we make this?" It is "do we know what to make, and why?"
If you cannot answer that, AI will not save you. It will accelerate your sameness.
What works
When the agency we work with stopped building and started asking the harder questions, two things happened.
One, the tone of meetings changed. We were no longer reviewing what got shipped. We were arguing about what the company was becoming. That argument is uncomfortable. It is also where the value lives.
Two, the apps we did keep building started to actually compound. They built on each other because they were pointed in the same direction. Same tools, different posture.
Direction is not a deliverable. It is what makes deliverables worth shipping. The order matters.
So before you spin up the next AI workflow or automated task, ask the question production cannot answer:
What are you building toward?
If you don't know, more production will not help.
It will hurt.