Someone told me “why not just use ChatGPT instead of your tool?”

Someone recently told me:

“Why would I use your tool? I can just upload my notes to ChatGPT.”

So I tried it.

And honestly, inside the chat the results looked great.

The equations rendered perfectly.
The derivations looked readable.
Everything seemed correct.

But then I tried copying the output.

That’s where things started breaking.

The rendered math you see in the chat UI isn’t always the same as the actual text representation you get when you copy it.

Things like:

• aligned equations lose alignment

• multi-line derivations flatten into single lines

• spacing between steps disappears

• LaTeX blocks become inconsistent

Inside the interface everything looks fine because the UI renders the math nicely.

But when you paste the result into a Markdown document, a LaTeX file, or a note-taking app, the structure often collapses.

That made me realize something interesting while building Axiom:

Digitizing handwritten math isn't only about recognizing symbols — it's about producing stable structured output that survives copying, exporting, and editing.

The problem isn’t just rendering math.

It’s preserving mathematical structure outside the interface where it was generated.

Curious if others building AI tools have run into similar issues where the UI makes something look correct, but the underlying representation tells a different story.