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AI Agents Articles

Explore our collection of insights and guides on ai agents.

WebMCP vs MCP: What's the Difference, and When to Use Each

WebMCP vs MCP: What's the Difference, and When to Use Each

MCP and WebMCP are not the same thing. Learn the architectural difference, when to use each, and how to combine them - from server-side tool access with MCP to browser-native structured interaction with WebMCP.

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Browser-Use vs. Playwright: Which is Better for AI Agent Control?

Browser-Use vs. Playwright: Which is Better for AI Agent Control?

Browser-Use vs Playwright in 2026 for AI agent control: compare autonomy vs determinism, architecture, MCP integration, performance, cost, and when to choose each (or combine them).

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How to Build an AI Support Agent with Alibaba Page Agent

How to Build an AI Support Agent with Alibaba Page Agent

A practical guide to Alibaba's open-source Page Agent library: how it works, how to build a support chatbot with it, and what its limitations reveal about deploying AI agents into real web sessions.

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Agentic Coding in 2026

Agentic Coding in 2026

How AI agents now plan, write, test, and deploy code with minimal human direction - covering core capabilities, SWE-bench results, productivity impact, leading tools (Codex, Claude Code, Cursor, Devin, Copilot), and the challenges that remain.

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The Web Is the Platform: How WebMCP Makes Agentic Customer Journeys Instant

The Web Is the Platform: How WebMCP Makes Agentic Customer Journeys Instant

How combining Webfuse zero-code co-browsing, Chrome's WebMCP protocol, and a conversational voice agent turns the browser into the fastest path to agentic customer journeys - no SDKs, no installs, no friction.

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Lightpanda vs Browser-Use vs Stagehand (2026)

Lightpanda vs Browser-Use vs Stagehand (2026)

Compare Lightpanda's high-performance browser engine, Browser-Use's Python AI agent, and Stagehand's hybrid TypeScript framework. See where each tool fits, how they trade off speed, determinism, and abstraction, and how to combine them for resource-efficient AI-driven browser automation in 2026.

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Prompt Injection in the Browser: How to Secure Your AI Agent Against Malicious Sites

Prompt Injection in the Browser: How to Secure Your AI Agent Against Malicious Sites

Learn how indirect prompt injection targets browser AI agents, how malicious sites can trigger data leaks or unsafe actions, and which architecture, sandboxing, permission, and approval controls reduce risk.

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Agent Browser vs Puppeteer & Playwright

Agent Browser vs Puppeteer & Playwright

Compare agent-browser, Puppeteer, and Playwright for AI agents and web automation in 2026. See browser support, token efficiency, performance tradeoffs, and when to use each tool.

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What Is WebMCP? How It Works and How It Differs From MCP

What Is WebMCP? How It Works and How It Differs From MCP

What is WebMCP? Learn how the experimental browser API proposal lets websites expose tools to AI agents, how WebMCP vs MCP differs, and how to test it in Chrome early preview.

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6 Best MCP Servers for Browser Automation in 2026

6 Best MCP Servers for Browser Automation in 2026

Compare the best MCP servers for browser automation in 2026, including Playwright MCP, Browserbase, mcp-chrome, Browser Use, Webfuse, and Chrome DevTools MCP.

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Playwright vs. Puppeteer: Which is Better for AI Agent Control?

Playwright vs. Puppeteer: Which is Better for AI Agent Control?

Playwright vs Puppeteer in 2026 for AI agents: compare browser support, locators, reliability on dynamic pages, CDP/BiDi access, debugging, scaling, and when to choose each.

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Develop an AI Agent for Any Website with Webfuse

Develop an AI Agent for Any Website with Webfuse

AI agents represent a next-gen web UI/UX enhancement that outperforms traditional guides around friction. Learn how to develop an AI agent on top of any web application with Webfuse.

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Snapshots: Provide LLMs with Website State

Snapshots: Provide LLMs with Website State

Comparison of the two prevalent techniques to compile web application snapshots, which represent key context for LLM-based AI agents for the web: DOM snapshots and GUI snapshots (screenshots).

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DOM Downsampling for LLM-Based Web Agents

DOM Downsampling for LLM-Based Web Agents

We propose D2Snap – a first-of-its-kind downsampling algorithm for DOMs. D2Snap can be used as a pre-processing technique for DOM snapshots to optimise web agency context quality and token costs.

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A Gentle Introduction to AI Agents for the Web

A Gentle Introduction to AI Agents for the Web

LLMs only recently enabled serviceable web agents: autonomous systems that browse web on behalf of a human. Get started with fundamental methodology, key design challenges, and technological opportunities.

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First Steps with Web AI Agents Using Copilot

First Steps with Web AI Agents Using Copilot

We built a tool that lets you automate tasks on the web on top of Webfuse and Microsoft Copilot. It can handle internet-based tasks directly in your browser, with no installation required. In this article, we'll cover our approach, challenges, highlights, and surprises along the way.

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