[s2l]

Now only if llm response font is some handwritten style.

[awwaiid]

This uses LLM Tools to pick between outputting an SVG or plugging in a virtual keyboard to type. The keyboard is much more reliable, and that's what you see in the screenshot.

If nothing else it could use an SVG font that has handwriting; you'd need to bundle that for rendering via reSVG or use some other technique.

But if I ever make a pen-backend to reSVG then it would be even cooler, you would be able to see it trace out the letters.

[satvikpendem]

That's definitely pretty easy to achieve, just change the font settings to use a particular handwritten style font [0].

[0] https://fonts.google.com/?categoryFilters=Calligraphy:%2FScr...

[memorydial]

That would be next-level immersion! You could probably achieve this by rendering the LLM’s response using a handwritten font—maybe even train a model on your own handwriting to make it feel truly personal.

[dharma1]

Script fonts don’t really look like handwriting - too regular.

But one of the early deep learning papers from Alex Graves does this really well with LSTMs - https://arxiv.org/abs/1308.0850

Implementation - https://www.calligrapher.ai/

[wdb]

Like Apple Notes's Smart Script?

[memorydial]

Actually if you figure that out please post it here!! I'd love to see that!