Your Startup Doesn't Need More Features. It Needs Better Decisions

What we're seeing

Claude Code, Claude Design, Codex for Work, Google Antigravity … honestly, I'm getting tired of naming these. There are just so many of them, each one able to add cool features and functionality. In our day-to-day work at NITM and working with clients, I'm now so used to seeing over-featured solutions that I'm getting feature fatigue. Finding products that have way too much information, functionality, and design for simple needs.

It's almost as if AI is creating functionality for … AI. We really do need better decisions in the flow. As a great man once said: "With great power comes great responsibility."

Why is it important?

You have to remember, you have the same access to the same models that every other user would. You're not special in that regard.

Where you are special is with how much understanding and knowledge you have of the problem, the solution you're building, and how the target user would benefit. AI only knows about historical issues. You, on the other hand, live through the problems and experiences that AI wishes it had. As such, you're able to come up with new, never-thought-of solutions and ways to add value. This is your superpower.

How does knowing this help you?

Run through this honestly before you greenlight your next feature or idea.

Quick checklist (yes/no)

• Do you have a deep understanding of processes, business knowledge, or domain expertise?
• Are you able to see solutions to problems that no one has tried before?
• Do you understand deep customer problems and pain points that have not been made public yet?

How can we help?

Our day-to-day experience building technology, scoping solutions, and coordinating and building teams at the micro level has shown us that while AI has deep knowledge on the macro level, it cannot truly innovate as humans do. We advise that at this time it's even more important that founders ideate and build in the shadows before letting the knowledge out to the public. This involves the following:

• Ensuring you're set up to use AI services that do not train on your data
• Ensuring that any documentation or code you create is properly secured and not indexable
• Not sharing any core business logic or "secret sauce" details publicly until you're ready to launch
• Launching ONLY when you're ready to bring on customers

We are all too aware of how easy it is to document, scrape, and duplicate a technology solution in this day and age. The real competitive advantage is in ensuring you properly identify and service your customers from day one.

Here is what that looks like in practice. One of our clients did not need more onboarding features. They needed a better decision about where the actual friction was living in their flow. We guided the build of a conversational voice onboarding experience instead of stacking on more form fields and settings. The result: onboarding time dropped 75%, and users voluntarily shared three times more information than before. That is not a feature. That is a decision, made with domain understanding AI does not have, executed well.

Run through the checklist above. If you're building more than you're deciding, let's talk.