Building With AI: The Demo Was the Easy Part

Useful and frustrating can both be true

In my October 25 recording, I was asked about a work problem that was driving me nuts. My answer was the software I was building.

It had reached the point where it was useful in our business. But people were still waiting on slow screens. I was hearing about loading problems in different parts of the app.

That is a different test from getting an early demo to work. The people using the tool have a job to do. They need the information to load so they can keep going.

Something can be useful and still need serious work. That was the situation I was describing.

People see the screen they are waiting on

From the team’s view, one page was slow. Then another page was slow. They were telling me what was happening where they worked.

I was looking at those reports as connected problems in the system behind the screens. In the recording, I talked about a database change I was working toward.

That was my working view of the problem. It was not a finished performance result. Saying what I hoped a change would do was different from showing that it had done it.

The people reporting the slow pages were not doing anything wrong. Their experience was the part that needed to get better.

A persistent goal is still not a finished result

I had been working through the problem with AI. By that recording, I had also set a persistent goal so the work would keep going.

I described spending about a week on that goal after another stretch of back-and-forth prompts. The point was how involved the problem had become, not that I had found a quick fix.

It is easy to start building with AI and feel like the hard part is over. Then the app gets real users, the problems get tangled and each next step takes more thought.

I also talked about how quickly tokens can add up while you work through that complexity. I was speaking from my own experience of getting deep into a difficult build. I was not presenting a measured cost or savings result.

The end user has a much simpler question

Later in the same conversation, I answered a question about what customers care about. My answer was the result and the problem being solved.

A tool can have all kinds of features and still be frustrating to use. Being impressed by what I built is not the same as someone else finding it helpful.

That is the connection between those two answers. I enjoy building. I also need to stay focused on the person trying to get work done with the thing I built.

MasterlineIQ is the real project behind this reflection. The work I described was still in progress. This essay does not turn it into a completed speed fix or a promise about public access.

The demo is a starting point

For me, this is part of learning practical AI for business. Building the first version can be exciting. The later work is making it fit a real operation.

That means paying attention to what people are waiting on, what they cannot finish and what still needs to change. A real pilot needs those questions, too.

I want to keep talking about the work after the impressive first moment. That is where this story was when I recorded it.