A no-code, full-stack experiment in conversational creativity
We didn’t write a single line of HTML. We didn’t use a site builder—no drag-and-drop, no templates. We didn’t sketch wireframes, build moodboards, or open Figma.
We opened a chat window.
This website—the one you’re reading about—was born entirely from conversation. We guided it into existence using prompts. No compilers, no IDEs. Just context, intention, and feedback loops.
The result is a clean, responsive, content-rich website with:
- A professional homepage
- Multiple white paper landing pages
- AI-generated iconography and illustrations
- A consistent visual system
- And even the directory structure—all created by AI
This wasn’t website development.
This was
vibe coding
.
Vibe coding is the practice of building digital systems—especially content-driven or design-heavy ones—by shaping intent into prompts rather than syntax. It prioritizes feel over framework. You iterate with words, not wireframes. You don’t “build a site,” you coax one into place.
This is not about replacing developers. It’s about prototyping and publishing entire digital experiences by shaping tone, behavior, and layout through language.
And it works.
We wanted to answer two questions: 1. How far can prompt engineering take us when building a real, publishable site? 2. What if you created a brand-facing experience without ever opening a code editor?
Spoiler: you can go much further than expected. The AI generated:
- A logically segmented homepage
- Full HTML and CSS with design cohesion
- White paper landing pages from raw PDFs
- Consistent image style and branding
- Meta-descriptions, button labels, and microcopy
- And even the directory structure
All of it was built through a single ongoing conversation.
The journey started with a screenshot mockup and a single instruction:
“Here is a mockup of our web page. Step by step, as an experienced web designer, create HTML, CSS, and all related image files.”
The AI responded with more than just code—it outlined:
- Folder and file structure
- Naming conventions
- CSS layout principles
- Responsive behavior strategy
- Color and typography suggestions
More importantly: it captured the vibe of the design. Balanced whitespace, clean headings, calming color palette—it read the intent, not just the image.
Traditional code builds structure.
Prompts build
mood
.
Once the homepage layout was in place, we moved on to tone and content. We asked:
“As a marketing manager, write the About Us section based on our conversation history.”
The AI produced a tone-aware, audience-focused copy block that:
- Referenced our founding year
- Used clear, confident business language
- Positioned AI as a strategic asset
- Matched the site’s brand voice
It didn’t write generic content—it wrote our story. From memory. With continuity.
We didn’t have any icons, illustrations, or branded graphics. So we prompted them into existence:
“Now proceed with Step 2 and create all icons.”
“Next image.”
“Make three separate images.”
“Now create the main illustration image.”
We described what we needed: flat style, minimal lines, a modern tech feel.
The AI responded with:
- Matching SVG-style icons
- Main hero illustrations
- Section art that felt native to the design
No need for design files. No need for asset libraries. The prompt was the pipeline.
We uploaded three white papers in PDF form. Then we said:
“Create HTML and CSS styled like the homepage for each of these white papers. Include the full content so users can read it directly.”
The AI:
- Parsed the documents
- Structured them into semantic HTML sections
- Styled them with brand-consistent formatting
- Added download buttons and navigation
- Linked each page back to the homepage
Then we prompted:
“Add a White Papers section to the homepage and link each of these pages.”
And it did—cleanly, consistently, and instantly.
We never defined folders. The AI suggested a directory structure that looked like this:
project/
├── index.html
├── styles.css
├── ai-coding.html
├── qa-ai-testing.html
├── contract-review.html
├── images/
│ ├── ai-illustration.png
│ └── service-icons.png
├── pdfs/
│ └── [original white papers]
It used standard conventions. Clean naming. Logical hierarchy.
We didn’t code a build system.
We didn’t configure a framework.
We prompted a project structure—and got one.
At each step, we asked for what we wanted—just as you would in a creative briefing:
“Make the AI-generated site message more noticeable.”
“Replace the Get Started button with a badge.”
“Align About section width with Services block.”
“Add a subtle scroll cue below the hero.”
Each time, the AI adjusted layout, spacing, copy tone, or button styles accordingly—explaining its rationale, and keeping the system cohesive.
It wasn’t just producing assets—it was responding like a designer .
This was the biggest shift.
When we asked:
“Make this message more visually prominent.”
The AI didn’t just bold it. It:
- Revised the copy for tone
- Designed a badge layout
- Chose accent colors
- Added animations
- Centered it visually in the hierarchy
We didn’t write specs.
We just described a vibe.
And the system restructured itself accordingly.
Not everything was seamless.
Some aspects still needed human review or couldn't be fully automated: - Form submission: You can’t write to a file or send email from client-side code only (without a backend or third-party service). - Accessibility: We had to check contrast, labeling, and ARIA roles manually. - Performance optimizations: No image compression, no lazy loading out of the box. - Security: No sanitization, no content security policy (CSP). - Deployment: We still had to zip, commit, and push the site to a host.
But as a fully AI-generated static site , this was 95% prompt-built.
We didn’t ask for
<div>
s—we asked for outcomes.
“Make this text stand out more.”
“Style this section to match the hero.”
“Add visual hierarchy.”
The AI remembered our brand tone, layout history, and content choices across sessions.
We iterated live, just like a creative director working with a team.
We never asked “where should these go?” The system just proposed a production-grade structure based on the type of assets.
That depends how you define development.
We didn’t open a code editor.
We didn’t build components.
We didn’t write HTML, CSS, or JavaScript manually.
But we did:
- Prompt a functioning, beautiful site into existence
- Assemble content, layout, images, and structure with language
- Publish a branded experience people can navigate
This was development—but as design through conversation , not composition.
We didn’t build this site with code.
We built it with intent.
Every part of the experience—from page hierarchy to badge styling to paragraph flow—was the result of prompts, feedback, and refinement.
The process was collaborative, creative, and fast.
We call it
vibe coding
.
It’s not about removing developers. It’s about enabling new creators to shape real, living digital systems with nothing more than the right words at the right time.
If you’ve ever wished a website could feel more like storytelling than syntax, more like ideation than execution—this is your moment.
We built ours.
Now prompt yours.