AI OS.
Full product design ownership for an AI Operating System — from early concept to detailed production UI. Covers agent management dashboards, visual workflow builders, RAG interfaces, and knowledge graph explorers.
The Impact
Full Product Ownership
Defined the entire design system, information architecture, and UX from scratch.
Core Modules Designed
Agent Hub, Workflow Builder, RAG Studio, Knowledge Graph, and Analytics.
Novel UI Patterns
Pioneered visual interfaces for configuring LLM agents and chaining AI processes.
The Challenge.
Making AI infrastructure feel human.
AI Operating Systems are inherently complex — managing agents, data pipelines, memory, and orchestration in one place. The biggest threat was designing something that felt like an engineering console rather than a product.
The challenge was to hide that complexity behind clean, approachable UI that still gave power users full control without overwhelming them.
Key Design Problems
Core Modules
Agent Hub
Central workspace to create, configure, and monitor AI agents with tools, memory, and prompt injection.
Workflow Builder
Visual node-based editor for chaining agents, APIs, and tools into complex multi-step AI pipelines.
RAG Studio
Upload documents, configure chunking strategies, and query your knowledge base through a clean conversational interface.
Knowledge Graph
Interactive graph explorer visualising entity relationships extracted from ingested documents and data sources.
Agent Hub Dashboard
Central control panel for managing all AI agents.
Drop your Figma export here
Replace with actual screenshot
Workflow Builder
Node-based visual pipeline editor.
Drop your Figma export here
Replace with actual screenshot
RAG Studio & Knowledge Graph
Document ingestion and entity relationship explorer.
Drop your Figma export here
Replace with actual screenshot