Gists

Abstract

This article demonstrates how to build an adaptive learning agent using Agent-to-User Interface (A2UI), Gemini, and Google Apps Script. We explore a system that generates personalized quizzes, tracks performance in Google Sheets, and dynamically adjusts difficulty to maximize learning efficiency within the Google Workspace ecosystem.

Introduction

A2UI (Agent-to-User Interface) represents a paradigm shift in how users interact with generative AI. Originally open-sourced by Google and implemented in TypeScript and Python Ref, A2UI becomes even more powerful when integrated with Google Apps Script (GAS). This combination enables seamless access to the Google Workspace ecosystem, transforming static documents into intelligent, agentic applications.

Gists

Abstract

This article explores A2UI (Agent-to-User Interface) using Google Apps Script and Gemini. By generating dynamic HTML via structured JSON, Gemini transforms Workspace into an “Agent Hub.” This recursive UI loop enables complex workflows where the AI builds the specific functional tools required to execute tasks directly.

Introduction: The Evolution of AI Interaction

The Official A2UI framework by Google marks a significant paradigm shift in how we interact with artificial intelligence. Short for Agent-to-User Interface, A2UI represents the evolution of Large Language Models (LLMs) from passive chatbots into active agents capable of designing their own functional interfaces. Building upon my previous research, A2UI for Google Apps Script and Bringing A2UI to Google Workspace with Gemini, I have refined this integration to support sophisticated, stateful workflows.

Gists

Abstract

This article explores implementing the Agent-to-User Interface (A2UI) protocol within Google Apps Script. It demonstrates utilizing Gemini’s structured output to render secure, dynamic, server-driven UIs—like booking forms and event lists—directly inside Google Sheets, streamlining workflows without complex external infrastructure.

Introduction

I recently published a sample implementation demonstrating how to bring the Agent-to-User Interface (A2UI) concepts to Google Apps Script (GAS). Ref

A2UI is an emerging open-standard protocol designed to enable AI agents to generate rich, interactive user interfaces that render natively across web, mobile, and desktop environments. Ref Unlike traditional approaches that often require executing arbitrary, high-risk code to generate UI on the fly, A2UI leverages a strict schema-based data format to describe UI components. This “secure-by-design” architecture effectively mitigates security risks like Cross-Site Scripting (XSS) while ensuring high performance and cross-platform consistency.

Gists

Abstract

This article demonstrates how to implement Google’s A2UI (Agent-to-User Interface) using Google Apps Script (GAS). By porting official Python/TypeScript examples to GAS, we show how to create dynamic, AI-generated interfaces within Google Workspace, enabling flexible business automation and interactive user experiences without complex server infrastructure.

Introduction

Google recently released A2UI, a protocol designed for agent-driven interfaces. Ref A2UI enables AI agents to generate rich, interactive user interfaces that render natively across web, mobile, and desktop environments without executing arbitrary code.