CaseStudies

Website Creation from Scratch

Status: 📋 Planned
Version: Future
Last Updated: November 15, 2025

Overview

Produce high-quality websites better than existing tools (e.g., Manus.im) through multi-agent collaboration, leveraging computer use, image understanding, filesystem memory, and multi-turn capabilities.

Description

Goal

Enable MassGen agents to create complete, production-ready websites from natural language descriptions, competing with or exceeding the quality of specialized website builders like Manus.im.

Key Features

Multi-Agent Design Process
- Design agent: Creates visual mockups and style guide
- Development agent: Implements HTML/CSS/JavaScript
- Content agent: Writes copy and sources images
- Review agent: Tests functionality and design quality
- QA agent: Checks cross-browser compatibility
Visual Design Integration
- Analyze reference websites for design inspiration
- Generate color schemes and typography
- Create responsive layouts
- Ensure accessibility (WCAG AA compliance)
- Modern design trends and best practices
Interactive Development
- Browser automation for live testing
- Inspect element for debugging
- Screenshot comparison for validation
- Iterative refinement based on preview
Content Generation
- AI-generated copy tailored to purpose
- Image generation/selection
- SEO optimization
- Metadata and structured data
Deployment Ready
- Clean, maintainable code
- Optimized assets
- Mobile-responsive
- Performance optimized (lighthouse score >90)
- Hosted and live URL

Example: Manus.im Comparison

Manus.im Output: Example link

MassGen Goals:

Equal or better visual design
Cleaner code structure
Better performance scores
More customization options
Explainable design decisions

Testing Guidelines

Test Scenarios

Simple Landing Page
- Input: “Create a landing page for an AI startup offering chatbot solutions”
- Expected: Professional landing page with hero, features, CTA, footer
- Validation: Design quality (human rating >7/10), all sections present
Portfolio Website
- Input: “Create a portfolio site for a UX designer with projects showcase”
- Expected: About, projects gallery, contact form, responsive design
- Validation: Visual appeal, navigation works, mobile-friendly
E-commerce Product Page
- Input: “Create product page for wireless headphones”
- Expected: Images, specs, reviews section, add to cart button
- Validation: Professional e-commerce layout, clear information hierarchy
Blog Website
- Input: “Create a tech blog with multiple articles”
- Expected: Homepage, article pages, sidebar, navigation
- Validation: Readable typography, good content layout
Iterative Refinement Test
- Input: Initial description, then feedback: “Make it more modern”
- Expected: Agents revise design based on feedback
- Validation: Improvements visible, maintains coherence
Comparison Test
- Setup: Same prompt to Manus.im and MassGen
- Test: Human evaluation of both outputs
- Expected: MassGen output rated equal or better
- Validation: Blind A/B test, >50% preference

Quality Metrics

Design Quality:

Visual appeal (human rating 1-10)
Layout consistency
Color harmony
Typography quality

Technical Quality:

Code cleanliness (linting, structure)
Performance (Lighthouse scores)
Accessibility (WCAG compliance)
Responsiveness (mobile, tablet, desktop)

Content Quality:

Copy relevance and quality
Image appropriateness
SEO optimization
Information completeness

Performance Benchmarks

Lighthouse Performance: >90
Lighthouse Accessibility: >90
Lighthouse Best Practices: >90
Lighthouse SEO: >90
Mobile Responsiveness: 100%

Validation Criteria

✅ Generate complete website in <30 minutes
✅ Design quality rated >7/10 by human evaluators
✅ Lighthouse scores all >90
✅ WCAG AA accessibility compliance
✅ Competitive with or better than Manus.im output
✅ Production-ready without manual editing

Implementation Notes

Technical Requirements

Computer Use:

Playwright/Gemini Computer Use for browser testing
OpenAI Operator for visual design review
Screenshot capture for validation

Capabilities:

Image understanding (v0.1.3) for design analysis
Filesystem memory for code management
Multi-turn memory for iterative refinement

Technology Stack:

HTML5, CSS3 (Tailwind CSS), JavaScript
Modern frameworks option (React, Vue, Svelte)
Hosting: Vercel, Netlify, GitHub Pages

Configuration Example

website_creation:
  agents:
    - name: designer
      backend: gpt-4o
      role: Visual design and mockups
      tools: [browser_use, image_gen]
    
    - name: developer
      backend: claude-3.5-sonnet
      role: HTML/CSS/JS implementation
      tools: [filesystem, code_execution]
    
    - name: content_writer
      backend: gemini-2.0-flash
      role: Copy and content generation
    
    - name: qa_tester
      backend: gemini-computer-use
      role: Testing and validation
      tools: [browser_use, screenshot]
  
  workflow:
    - design_phase: Create mockups and style guide
    - development_phase: Implement website
    - content_phase: Write and integrate copy
    - testing_phase: Validate and refine
    - deployment_phase: Deploy to hosting

Execution Command

massgen --config website_creation.yaml \
  --query "Create a landing page for an AI coding assistant startup" \
  --output ./website \
  --deploy vercel

Multi-Turn Filesystem Support (v0.0.25) - Iterative file development
Computer Use Tools (v0.1.9, v0.1.12) - Browser automation
Multimodal Video Analysis (v0.1.3) - Image understanding
Web UI Development (Completed) - Design pattern reference

References

Success Criteria

Demonstrate that multi-agent collaboration can produce websites of equal or superior quality to specialized single-purpose tools, with the flexibility to handle diverse website types and requirements.