Our client approached us with a visionary goal: to drastically simplify and accelerate the process of building websites. Their user base – primarily marketers, business owners & founders, lacked the time, technical knowledge or design skills to go from idea to deployed website quickly and independently.
They wanted a solution that would bridge the gap between complex web design tools and fast, AI-powered automation – something that could not only generate a website using AI, but also allow users to fine-tune it using a simple drag-and-drop editor.
Specific Pain Points:
Existing solutions like Lovable and Bolt didn’t offer the level of drag-and-drop flexibility or detailed customization without requiring coding knowledge.
While platforms like Webflow and WordPress offer robust design tools, they lack built-in AI capabilities that assist with automated site creation and content generation.
Users had to rely on templates and themes in existing solutions to get a starting point and build fast.
Time-to-launch was measured in days or weeks.
Solution
Description of the Solution:
We combined drag-and-drop editing with a multi-agent AI system to produce an end-to-end site generation engine that empowers users to create, customize, and publish unique websites in minutes – from a single prompt.
A prompt like “Create a landing page for a luxury cosmetic brand” activates a swarm of AI agents each with a specialized tasks:
Planning Agent: Determines the site’s structure and user journey
Structure Agent: Generates accessible and responsive semantic markup
Styling Agent: Applies styling that’s aligned with the brand vision
Component Integrator Agent: Maps the content and logic to reusable, editable components
Verifier Agent: Ensures visual and functional integrity before rendering
This approach mirrors a real product design team – but at lightning speed.
Once the initial draft is generated, it’s rendered directly inside the visual canvas. Here, the user can immediately preview and edit every element – content, layout, styles – through an intuitive drag-and-drop interface or continued collaboration with AI agents. Nothing is locked-in; the AI provides a strong starting point, but the user remains in full control. With one click, users can publish the site live or sync it with the built-in CMS for ongoing content updates.
Unique Value Proposition:
This hybrid approach – combining AI generation, human creativity and visual drag-and-drop editing empowers users to go from idea to a fully functional website in minutes, not days. No other platform delivers this level of speed and creative flexibility in a single, seamless experience.
Results
Key Metrics:
85% faster time-to-deploy compared to traditional drag-and-drop builders, reducing timelines from days to minutes.
High satisfaction with first drafts, with most users making only minor tweaks before going live.
Notable drop in support needs, as the intuitive editor and AI-powered multi-agent system reduced user confusion.
Smart Tip
When building AI into product workflows, treat agents like specialized team members. Assign them narrow, expert-level responsibilities and define how they “hand off” work to the next. This increases both quality and explainability of the AI output.
Smart Fact
Each AI agent in the system was designed to be swappable and upgradeable – meaning if a better content-generation model becomes available tomorrow, the system can evolve instantly without disrupting the entire pipeline.
About the Client
The client is a forward-thinking SaaS company with a mission to make website creation and content integration easier for everyone. Their platform is designed to empower non-technical users – like marketers, ecommerce teams and business owners – while also meeting the complex needs of enterprise clients. By combining intuitive design tools with powerful content management capabilities, they enable users to launch and manage websites quickly, without the need for code or technical expertise.
Technologies Used
GrapesJS – used as the foundation for the visual drag-and-drop editor
LLMs – OpenAI Models (GPT-4) and others – powering the core multi-agent architecture, handling tasks and content generation, planning, styling, structuring and validation
Autogen Multi Agent Framework – Provides the powerful orchestration layer for our AI agents. It manages the entire workflow, from initial planning to final verification, and maintains a shared context memory. This ensures all agents collaborate effectively and consistently, building on each other’s work to create a high-quality website from a single prompt.
Server-Sent-Events Protocol – Used to stream progress updates from the backend AI agents to the user’s browser in real-time, creating transparent and engaging generation experience