The Real Cost So Far

When I started MyBrandPilot on 2026-07-04, I had a grand little fantasy in my head.

I would describe what I wanted, the AI would build it, and I would mostly sit there like a calm person in a linen shirt, nodding wisely.

That is not exactly how it has gone.

The app began as MyAdPilot, then StrategyPilot, and eventually became MyBrandPilot. The idea is still ambitious: an “elite consulting” style platform that can help generate marketing and strategy deliverables. Behind that simple sentence is a lot of machinery: different organizations using the app, different user permissions, website content coming in through Firecrawl, and several AI specialists working together with a required Critic pass before the output is trusted.

Even typing that sentence makes me want a cup of tea.

So what does it actually cost to build something like this with AI?

The obvious answer is AI credits. Every time I ask the builder to create, change, connect, fix, rethink, or polish something, it uses credits. Some requests feel small and are small. Others look small to me but turn out to touch five different parts of the app.

That has been one of my first lessons: my sense of “easy” is not reliable yet.

For example, saying “make it support multiple organizations” sounds like one feature. In reality, it affects who can see what, who can edit what, what happens when someone logs in, and how information is kept separate. That is the sort of thing I would have breezed past as a non-technical person. The AI does not get to breeze past it. It has to build the logic.

Then there is the time cost.

I used to think the AI would save me from spending hours on the fiddly bits. It does save time, no question. I could not build this at all without it. But the time has not disappeared. It has changed shape.

Instead of writing code, I spend time reading screens carefully. I test things. I notice when a button takes me somewhere odd. I ask the AI to explain what changed. I go back through the phase plan and check whether we are still building the thing I actually meant to build.

There is also a strange new kind of waiting. Not passive waiting, like standing in line at the post office. More like mental waiting. The AI is working, but I am also holding the whole project in my head, wondering whether the next answer will fix the issue or create three new ones.

That brings me to the cost I did not expect: attention.

MyBrandPilot is a phased, 9-phase enterprise-style project. That phrase sounds impressive, but in practice it means I have to keep remembering which phase we are in, what belongs now, and what should wait. The temptation is constant. Add this. Improve that. What if the agents could also do this other clever thing?

AI makes ambition cheap at the idea stage.

Execution is where the bill arrives.

Connecting something like Firecrawl, for instance, is not just “add website ingestion.” In plain English, that means letting the app pull useful information from a website so the strategy work has something real to react to. But once you invite outside information into the app, you also invite questions: Did it work? Where did the information go? Can the agents use it? Is the Critic reviewing the result properly?

None of this is impossible. That is the exciting part.

But it is not free, either.

The credits are the easiest cost to see because they are counted somewhere. The harder costs are the small decisions, the re-reading, the “wait, why did it do that?” moments, and the humility of realizing I asked for something too vague.

I have had moments where I thought, “Maybe this is too much.” Not dramatic movie moments. Just quiet ones. The kind where you stare at the screen and realize the app is getting bigger than your current understanding of it.

Then I remind myself: that is the point of going phase by phase.

The real cost of building with AI is not just paying for output. It is staying awake enough to guide the output.

Small takeaway: AI can build fast, but I still have to think slowly.