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.
Gists
Published: January 3, 2026
Author: Kanshi Tanaike
Abstract 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.
Introduction On StackOverflow, millions of developers engage in daily knowledge exchange, creating a historical repository of technological evolution.
URL: https://stackoverflow.com/users/7108653/tanaike?tab=answers&sort=newest
This is the statistics of my activities from 2025-01-01 - 2025-12-31 on Stackoverflow.
Answers to stackoverflow
I answered 35 answers. On January 02, 2026, the total view count is 7,795. Answers to ja.stackoverflow
I answered 1 answers. On January 02, 2026, the total view count is 292. Total view counts: 8,087
Gists
Abstract 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.
Introduction As the Model Context Protocol (MCP) standardizes LLM connectivity, the Agent2Agent (A2A) paradigm is becoming essential for executing complex, multi-step tasks.
Gists
Abstract 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.
Introduction The integration of Gemini CLI and Google Antigravity with the Model Context Protocol (MCP) has significantly expanded the capabilities of LLM-based agents.