I recently improved the landing page for one of my apps, Lightbox Tracing Pad.

The goal was not to make the page more decorative.

The goal was to make the app easier to understand:

what the app does, who it is for, why it is useful, what trust signals matter, and what action the visitor should take next.

Lightbox Tracing Pad turns an iPad or iPhone into a simple lightbox for tracing images on paper.

The old page explained the app, but it felt more like a short description than a focused landing page. It did not clearly guide a new visitor through the problem, use cases, workflow, privacy, and App Store action.

Instead of asking AI to “make the page better,” I used a structured workflow:

  • define the page’s job;
  • draft the page sequence;
  • review claims and privacy;
  • prepare an implementation brief;
  • build the page;
  • check the result against the brief;
  • capture evidence.

That structure mattered more than any single prompt.

The most useful question was:

What job should this page do?

For this page, the answer was simple:

Help a visitor understand that Lightbox Tracing Pad turns an iPad or iPhone into a simple lightbox for tracing images on paper, then guide them to the App Store.

That helped keep the page focused.

One concrete copy improvement was the hero line:

Turn your iPad or iPhone into a simple lightbox for tracing images on paper.

It names the device. It names the use case. It names the physical workflow.

It is not louder copy. It is clearer copy.

Another useful part of the process was reviewing claims before implementation.

Allowed: what the app actually does, supported devices, privacy information, and App Store-safe product facts.

Not allowed: sales claims, download numbers, “best” claims, or any conversion improvement claim without evidence.

That made the page easier to trust.

I also kept the visuals public-safe by using existing product/App Store assets instead of private screenshots or personal images.

AI helped with structure, draft options, claim review, privacy checks, implementation notes, and final review.

But AI did not decide what to publish. It did not invent results. It did not remove the need for judgment.

The useful pattern was not:

“Ask AI to improve a page.”

It was:

  • define the job;
  • create constraints;
  • draft;
  • review;
  • build;
  • verify;
  • record evidence.

That is slower than a single prompt.

It is also much easier to trust.

For me, this is where AI-assisted product work becomes useful: not when it replaces judgment, but when it creates a workflow where judgment has something concrete to inspect.

The page

You can see the finished page here:

Lightbox Tracing Pad