AI & XR
How I am building Glassear Studio
My work as the founder and engineer of Glassear: designing the architecture and developing the AI tools that turn natural-language instructions into interactive XR experiences.
An AI-native platform for building and modifying interactive XR applications across a web authoring environment and Unity runtime.
Official product page: Glassear Studio (glassear.com/studio/)
Problem
Creating interactive XR applications normally requires specialized tooling and manual coordination between authoring systems and runtime state.
What I built
My work as the founder and engineer of Glassear: designing the architecture and developing the AI tools that turn natural-language instructions into interactive XR experiences.
- Natural-language-to-application workflows
- AI Planner and Intent Graph
- Agent and MCP tool architecture
- Structured scene/runtime modifications
- Hybrid deterministic and LLM architecture
Architecture
An AI Planner and Intent Graph coordinate tool-based operations, MCP integrations, structured scene patches and runtime synchronization between a TypeScript/React/Node.js web platform and Unity.
AI / agentic component
LLMs interpret intent and plan tool calls within explicit system constraints.
Deterministic components
Typed operations, validation, reconciliation and runtime acknowledgements control how planned changes become scene state.
Reasoning proposes changes; deterministic contracts validate, apply and synchronize them.
Stack
My role
Founder, architect and hands-on engineer
Outcome
An AI-native platform for building and modifying interactive XR applications across a web authoring environment and Unity runtime.