GenAIEmbed – AI Agent Builder for Smarter Interactions
Tools Used: Figma, Framer
Website:genaiembed.ai
I built the GenAIEmbed website, a platform that empowers users to create and deploy intelligent AI agents trained on their data, without writing a single line of code. It’s designed for businesses looking to enhance customer support, streamline operations, or boost engagement with contextual AI solutions.
Key Highlights:
Clean UX/UI Design: Focused on clarity, trust, and simplicity to make complex AI technology feel accessible.
Framer-Powered Build: Optimized for speed, responsiveness, and seamless animations using Framer’s native capabilities.
Custom Agent Setup: Showcases how users can train bots using URLs, PDFs, or documents to reflect their brand voice.
Dynamic Feature Sections: These sections clearly break down solutions like Expert Agent, Palette, and Lexiconne for different retail needs.
Conversion-Focused CTA: Strategically placed prompts to drive sign-ups and user engagement.
SEO & Performance Ready: Optimized structure and metadata to support discoverability and fast load times.