Zeon AI Agents

Zeon AI Agents

CompanyZeon
RoleFounder & Designer
IndustryAI / Customer Support
TimelineJune 2022 - Present
ContextFounded and designed Zeon, an open-source platform revolutionizing customer support with AI agents, enabling businesses to deploy intelligent customer interactions without technical expertise.

Overview

Zeon is an open-source initiative I founded to transform how businesses approach customer support through AI. Leading this project from concept to production, I designed a platform that enables companies to deploy intelligent AI agents for customer interactions, combining the power of modern AI with intuitive user experience design.

The Challenge

Customer support has traditionally been a pain point for businesses of all sizes. Small teams struggle to provide 24/7 coverage, while larger organizations face challenges in maintaining consistency and quality across high volumes of interactions. I saw an opportunity to leverage emerging AI capabilities to create a solution that would be accessible to everyone -hence the decision to make Zeon open-source.

Discovery & Research

Before diving into design, I conducted extensive research to understand:

  • Pain points in existing customer support workflows
  • AI capabilities and their practical applications in support contexts
  • Open-source community expectations for contribution and customization
  • Technical constraints that would affect the user experience

This research revealed that while AI could handle many routine inquiries, the real value lay in seamless handoffs between AI and human agents, and in providing businesses with insights from their customer interactions.

Design Process

UX Strategy for Three User Groups

I developed a comprehensive UX strategy addressing three distinct user groups:

  1. Business administrators who configure and deploy AI agents
  2. Support teams who work alongside AI and handle escalations
  3. End customers who interact with the AI-powered support

Key Design Decisions

Intuitive Configuration: The platform needed to be accessible to non-technical users while offering power users the flexibility they needed. I designed a visual configuration system that made complex AI behaviors understandable and editable.

Transparency in AI Actions: Users needed to understand what the AI was doing and why. I implemented clear feedback mechanisms and conversation logs that built trust in the system.

Community-First Approach: As an open-source project, the design needed to consider contributors. I created comprehensive design documentation and component libraries to enable consistent community contributions.

Landing Page & Growth

Beyond the product itself, I designed and developed the Zeon landing pages, focusing on:

  • Clear value proposition communication
  • Developer-friendly documentation layout
  • Community contribution pathways
  • Open-source credibility signals

Technical Collaboration

Working closely with a cross-functional team, I ensured that design decisions were technically feasible while pushing for the best possible user experience. This included:

  • Regular design-development syncs
  • Prototype testing with real AI integrations
  • Performance considerations in interface design
  • Accessibility across all interaction patterns
Zeon Dashboard

Outcome & Impact

Zeon was successfully launched as an open-source initiative, achieving:

  • Active community of contributors
  • Business adoption by companies seeking AI-powered support solutions
  • Positive feedback on the intuitive design approach
  • Foundation established for community-driven development

Key Highlights

Target Users

  • Business administrators
  • Customer support teams
  • Developers and contributors
  • End customers (indirect)

Key Features Designed

  • Visual AI agent configuration
  • Real-time conversation monitoring
  • AI-human handoff workflows
  • Analytics and insights dashboard
  • Community contribution guidelines

Tools Used

  • Figma (UI design, prototyping)
  • User interviews and testing
  • Webflow (landing pages)
  • Design system documentation

Reflections

Founding and designing Zeon taught me valuable lessons about:

  • Open-source design: Creating systems that enable contribution while maintaining quality
  • AI UX: Making AI capabilities understandable and trustworthy to users
  • Community building: Designing not just for users, but for contributors
  • Founder-designer role: Balancing vision with practical execution

This project reinforced my belief that great design can democratize access to powerful technology.