2 minute read

🌿 Week 1 – Day 3: Lovable Magic, and the Hard Part of Aesthetics

Today felt like an exciting leap forward.

With just a few prompts, Lovable helped me build an interactive web app that would have taken me days—or even weeks—if I coded everything by hand. The Morning & Evening tabs, the History streak, the confirmation page… they all came alive so fast it felt like magic.

The app is already live here: https://dailywhispers.lovable.app.

But then I hit the hardest part of all—getting the aesthetic right.


⚡ What surprised me most

  • How fast Lovable can create a working MVP. It’s like having a co-pilot who instantly scaffolds the code. You describe the logic, and boom—the components appear.
  • How slow and subtle it is to refine design and animation. I asked for a soft Zen moonrise in the evening confirmation… and got a PowerPoint-like circle sliding up instead.

It turns out describing “ink-and-brush style” in words is much harder than describing functionality.


🖌️ What does brush-and-ink style really mean?

When I say Chinese brush-and-ink style, I imagine:

  • Soft edges, never perfectly geometric. Ink bleeds slightly into rice paper, creating uneven gradients.
  • Organic movement. Nothing slides mechanically; it flows, like water finding its path.
  • Texture of the medium. A stroke is not flat color—it has depth, places where the brush pressed harder, places where it faded.
  • Silence and space. It’s about what’s not painted as much as what is.

But how do you translate this for a machine?

An LLM behind Lovable understands words like fade, opacity, radial-gradient, but it doesn’t see the cultural weight of a Zen ink painting. So it gives you CSS animations—mathematically smooth, not poetically uneven.

I realized that if I want AI to get closer to the feeling I hold in my mind, I must describe it in two layers:

  1. The emotional layer (calm, meditative, flowing like ink)
  2. The technical layer (soft blur edges, random opacity noise, SVG texture masks)

This is the bridge between human aesthetic language and machine instruction.


đź§­ What I learned today

  1. Working with GPT/Lovable means thinking like a designer and a developer.
    • You can’t just say “make it beautiful.” You need very precise specs: where the text sits, how it fades, what kind of texture it should mimic.
  2. LLMs (Large Language Models)—what Lovable uses behind the scenes—are great at logic and structure, but they struggle with subjective aesthetics.
    • They can guess what “fade-in” means, but “Zen ink wash moonrise” is a whole different challenge.
  3. Even with AI, art direction still needs a human.
    • The mood you want lives in your head—and guiding an AI to that exact mood is a skill in itself.

🌙 The joy and the frustration

It’s thrilling to watch something you imagined become clickable, interactive, real in hours.

But it’s equally humbling to see how hard it is to express a feeling through code.
The AI will give you a circle. You wanted a moon in an ink painting. There’s a gap—and that gap is where human imagination still matters.


⏭️ What’s next

Tomorrow, I’ll keep finetuning the animations, and then learn how to turn this into a PWA so it can live on a phone like a real app.

This feels like a journey not just of building an app, but of learning how to communicate beauty to a machine.

Even a whisper to a machine takes patience, like coaxing ink to flow gently across paper.