Scope Creep in the Age of AI
· Matt Senter
I have a new way to avoid the most important thing I should be doing: making the product better.
Not better in the way that gets it launched, finds a customer, or proves the idea. Better in a thousand tiny ways. Tighten the spacing. Rewrite the empty state. Add a keyboard shortcut. Tune the animation. Ask an AI coding agent for one more tasteful improvement, watch it appear a minute later, and immediately spot the next one.
Every tweak is fast. Every tweak feels productive. Together, they can keep me from the critical path for an astonishingly long time.
Scope creep used to come with friction
Scope creep is not new. Products have always accumulated requirements. The old version was just easier to see coming. A new feature meant a meeting, an estimate, a ticket, a developer, a test cycle, and another uncomfortable conversation about the deadline. The cost announced itself.
AI removed much of that friction. Now a new feature can begin with six words typed into a prompt. There may be no estimate and no one else in the room to ask whether it belongs. By the time I would have finished explaining the idea to a teammate, the first version is already running.
That is an incredible advantage. It is also a trap. When the cost of starting work feels like zero, the old instinct to stop and justify it never kicks in.
The dangerous phrase is “while I am here”
The pattern rarely starts with an obviously bad idea. It starts with something reasonable. While I am fixing this form, I should improve the validation. While I am in the validation code, I should add better error messages. The errors could use icons. The icons expose an inconsistency in the design system. Now I am reorganizing components that users have never complained about.
Each decision makes sense in isolation. That is what makes the pattern hard to resist. There is no single reckless choice to point at, only a chain of useful little choices that quietly carries the project somewhere it did not need to go.
The same thing happens outside the product. It is easy to spend an afternoon perfecting a logo, automating a report, reorganizing the CRM, or generating twenty versions of a landing page. The work may be good. It may even be necessary eventually. But if the business needs a customer conversation today, none of it is the job.
Cheap execution does not make attention cheap
AI lowered the cost of a tweak. It did not lower the cost of choosing the tweak, reviewing it, fitting it into the rest of the product, and carrying the added complexity afterward. Most of all, it did not make my attention infinite.
That is the cost I tend to miss. A two-minute change can open a twenty-minute branch in my thinking. It changes what I am looking at and what problem my brain is trying to solve. Do that fifty times and the day disappears, even if the agent wrote every line of code.
Speed makes this worse in a surprisingly pleasant way. Slow work creates natural stopping points. Fast work creates momentum. The instant reward of seeing each request completed makes the next request feel almost free, like pulling a slot-machine lever that always pays out in polished UI. I am not blocked or frustrated. I am having fun, which makes it harder to notice that I am off course.
Fun work and important work are not the same list
I love the building part. I suspect most builders do. It is concrete, responsive, and satisfying. You make a request and the thing changes in front of you. The critical path is often much less fun: decide what the product is, release it before it feels finished, ask someone to pay, hear what does not work, and choose what not to do.
AI widens the emotional gap between those two kinds of work. It makes the fun work even faster and more rewarding. It does not make an awkward sales conversation less awkward or a strategic choice less uncertain.
So staying focused now requires more than a backlog. It requires being honest about why I want to do the next thing. Is this the most important work, or is it the place where I get the quickest hit of visible progress?
I need a definition of done before I start
The most useful defense I have found is to define the finish line before the build gets interesting. What must be true for this version to ship? What question am I trying to answer? What is explicitly allowed to remain rough?
I keep the answers short. If the goal is “a stranger can download the app and complete the main task,” then a better settings screen is not on the critical path. If the goal is “find out whether anyone will pay,” then another week of product polish is probably a sophisticated way to avoid asking.
New ideas still get captured. They just do not get to appoint themselves urgent. I put them on a later list and return to the defined finish line. After the milestone is real, I can choose a deliberate polish pass and enjoy it without pretending it is something else.
Restraint is part of the craft now
I have written before that taste is the bottleneck when everyone can build. Restraint is one expression of that taste. It is not only knowing which version looks best. It is knowing that this problem does not need another version right now.
The ability to make almost anything quickly does not relieve me of prioritization. It makes prioritization more important. Every tool that removes an external constraint puts more weight on the internal one: the discipline to hold a direction, leave good ideas undone, and stop when the work has accomplished its purpose.
AI should shorten the distance between an idea and its outcome. If I let every satisfying tweak insert itself along the way, it does the opposite. The product gets more polished while the launch gets no closer.
The question I am trying to ask more often
Before I ask an agent for one more change, I am trying to pause and ask a less exciting question: what would move this product or business forward today?
Sometimes the answer really is the tweak. Details matter, and I do not want to ship careless work. But often the answer is to release the build, send the email, call the customer, write the offer, or make the decision I have been circling.
The age of AI gives builders extraordinary leverage. Using it well means knowing when to press the accelerator. It also means keeping a hand on the wheel.