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.
Kanshi TANAIKE tanaikech
This article details the development of Smart Stowage Optimizer, a web-based digital twin for logistics that bridges the gap between physical safety and artificial intelligence. By integrating Gemini 3 Pro, the system solves the 3D Bin Packing Problem (3DBPP) using advanced spatial reasoning. Built with React 19 and Three.js, the application visualizes physics-aware load stability in real-time, offering a comparative analysis between traditional heuristic algorithms and modern generative AI agents.
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.
The Gemini API now supports external file URLs, allowing developers to process data directly without uploading it first. This article demonstrates how to leverage this update to integrate Google Workspace resources—including Google Sheets, Docs, Slides, and Apps Script—into Gemini’s workflow, covering both public and secure private access methods.
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.
Published: January 3, 2026
Author: Kanshi Tanaike
Analyzing StackOverflow data (2008–2026) reveals a massive activity decline post-ChatGPT. Using Google Apps Script as a case study, this report quantifies the migration from human support to AI. We explore how the platform is pivoting from a help desk to a critical verification layer for AI-generated code to prevent model collapse.
This article introduces a Google Apps Script-based Agent2Agent architecture to solve Tool Space Interference. While the provided demonstration utilizes a single server for testing purposes, the architecture is designed for distributed task execution. By running multiple category-specific A2A servers in parallel, users can achieve scalable, high-efficiency agent networks.
Nexus-MCP resolves "Tool Space Interference" in Large Language Models by aggregating multiple MCP servers into a single gateway. Utilizing a strictly deterministic 4-phase workflow—Discovery, Mapping, Schema Verification, and Bridged Execution—it prevents context saturation and tool hallucinations, enabling the use of massive tool ecosystems without sacrificing reasoning accuracy.
This article introduces a major update to gas-fakes enabling dynamic loading of Google Apps Script libraries. This enhancement allows developers to build modular, maintainable Model Context Protocol (MCP) servers. We demonstrate this by integrating sophisticated library-based tools with Gemini CLI and Google Antigravity for seamless Google Workspace automation.
Power of Google Apps Script: Building MCP Server Tools for Gemini CLI and Google Antigravity in Google Workspace Automation
This article demonstrates how to build Model Context Protocol (MCP) tools directly using Google Apps Script. By leveraging the gas-fakes CLI, developers can execute Google Apps Script locally to automate Google Workspace via Gemini CLI and Google Antigravity, streamlining development and eliminating the overhead of dynamic tool creation.
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