Aaron Koivunen

ChatGPT Apps: From Chat to Checkout

AI isn't coming for your job; it's coming for your customers. Learn how to adapt your business for the new world of agentic commerce.

ChatGPT Apps: From Chat to Checkout
#1about 5 minutes

The shift from conversational to actionable AI agents

The introduction of the Model Context Protocol (MCP) enables AI agents to interact with external tools and perform real-world actions.

#2about 3 minutes

How the Model Context Protocol standardizes AI integrations

MCP acts like a universal USB-C port for AI, creating a plug-and-play standard that simplifies connecting agents to any external service.

#3about 3 minutes

Exploring the ecosystem of AI apps and commerce protocols

Major tech companies are building AI apps using various protocols for payments (UCP, X.402) and visual interfaces (MCP UI) to enable transactions.

#4about 4 minutes

Designing apps for collaborative human-AI conversations

Instead of building destination websites, developers must now design apps that provide unique knowledge, actions, or visuals within an ongoing AI conversation.

#5about 2 minutes

Case study building a visual shopping app with Klarna

A ChatGPT app for Klarna demonstrates how to bring a visual product discovery and shopping experience directly into the user's chat conversation.

#6about 6 minutes

Comparing human-centric and agent-centric payment models

AI commerce is evolving with two payment models: a human-in-the-loop approach (ACP) and an autonomous agent model (X.402) enabling micropayments via blockchain.

#7about 6 minutes

Future trends and new business models in AI commerce

Agentic commerce may disrupt traditional SaaS and advertising models by enabling new pay-per-use business models for selling data, context, and automations.

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