My exact landing page workflow (used for client MVPs)

Hey,

Over the last few weeks, a lot of you have been asking the same thing:

“How are you building landing pages this fast for client projects?”

“Are you still using Figma?”

“What’s actually changed in your workflow?”

So I finally recorded a full walkthrough breaking it all down.

Here’s the honest answer first.

My landing page workflow hasn’t changed much in the last year.

The tools got better. The models got smarter.

That’s why the output looks way better now.

And no, I’m not using Figma for MVPs.

If you’re validating an idea, shipping a client MVP, or launching something fast, spending days perfecting a landing page makes zero sense. Speed matters more than polish at this stage.

In the video, I walk through the exact process I use to build a clean, client-ready landing page in about 10-15 minutes using Lovable.

👉 Watch the full video here:

Here’s the core idea behind the workflow.

Stop designing. Start referencing.

Most people make this mistake:

They start by writing long prompts explaining what they want.

That never works well.

Instead, I always start with visual inspiration.

I go to Dribbble, find a landing page that already matches the vibe, layout, and color palette I want, and I screenshot it. Visual references remove guesswork. They tell the AI exactly what “good” looks like.

In the video, I show you how I do this step by step.

Turning screenshots into build-ready prompts

Once I have the screenshot, I run it through SnapPrompt, a custom GPT I built.

I give it two things:

• The screenshot

• A simple description of what I’m building

SnapPrompt then generates:

• A full design system

• Typography and spacing rules

• Page structure

• Component-level instructions

This becomes a Lovable-ready prompt, not vague instructions.

I paste that prompt into Lovable along with the screenshot and let it plan the build first before generating anything.

That planning step matters more than people realize.

Building inside Lovable (the right way)

Inside Lovable, I always:

• Use Chat Mode first so it asks clarifying questions

• Keep the page simple for MVPs

• Skip backend unless I actually need it

• Avoid overdone scroll animations early on

With just one clean prompt and a reference image, Lovable usually gets 70–80% right on the first try.

That’s more than enough for validation.

Upgrading the page without breaking the flow

Once the base page is ready, I upgrade it using real UI components instead of asking AI to “make it prettier.”

I use component libraries like 21st dev to replace:

• Hero sections

• Feature sections

• Testimonials

• Logo grids

I copy the component prompt, select the section in Lovable, and ask it to replace it while keeping the same vibe and theme.

This avoids that generic “AI-looking” output.

Final polish (without wasting time)

If I want to push the page slightly further, I:

• Add one or two AI-generated visuals

• Clean them up quickly

• Replace hero images directly inside Lovable

I cap this phase at 15–20 minutes max.

Once the landing page looks right, Lovable actually learns the design vibe from it. That makes future dashboards and screens come out more consistent, especially when using themes.

The rule I follow

If you’re the only one who cares about the idea right now, do not overdesign.

Ship fast. Test. Learn.

Figma and designers make sense after traction, not before.

I break all of this down visually in the video, including:

• The exact prompts

• How Lovable asks questions

• How I replace sections

• How I polish without slowing down

👉 Watch the full walkthrough here:

If you’re building MVPs, client projects, or just want to move faster without cutting corners, this workflow will save you hours.

Let me know what you think after watching it. And if you want me to go deeper on any specific step, just reply to this email.

Talk soon,
Prajwal