

Builder Series: Building an AI-Native Experience with MCP & ChatGPT Apps
AI apps aren't just chatbots with a better UI.
They're a new class of software defined by how agents discover, connect to, and act on services, and building them well requires rethinking interface design, user journeys, and architecture.
Live session agenda
In this 1-hour live session, we'll explore what it means to build an MCP App or ChatGPT App from first principles:
What are they?
What makes an agentic experience (AX) feel natural?
What separates a demo from something production-worthy?
We'll then dive into a live build using Skybridge, Alpic's open-source TypeScript framework that lets you build once and deploy across MCP-compatible hosts (Claude, ChatGPT) without duplicating logic.
What we'll cover:
Core concepts: what defines AI-native apps and agentic user journeys
Live walkthrough of Skybridge's key tools:
Project scaffolding with the
createcommandDev server with rendering emulator and MCP inspector
Built-in skills for hassle-free development
Tunneling to test directly in ChatGPT and Claude
Hooks library for managing model interactions
Widget-to-context synchronization for coherent conversations
What you'll leave with:
A mental model for designing agentic experiences
Understanding of Skybridge's architecture and how to apply it to your projects
Clear next steps for building your own MCP or ChatGPT App