How to Connect AI Agents to Web Data with an MCP Plugin
Connect an AI agent to live web data with MCP. Learn transports, tool design, security, testing, deployment, and a ScreenshotNeo shortcut.
How to Connect AI Coding Agents to Image and PDF Generation Tools
Connect an AI coding agent to image or PDF tools with built-in tools, functions, or MCP—and return the result as a usable artifact.
Post-Release Page Verification with AI Agents and Screenshots
Verify deployed pages with an AI agent, Playwright screenshot baselines, and reviewable release evidence. This guide includes runnable CI code.
How to Build an AI Browser Agent for Web Automation
Build a browser agent as a bounded loop: let a model propose actions, enforce permissions in application code, and verify the resulting page state.
Using LangChain for Web Scraping, AI Agents, and RAG
Build a reliable LangChain workflow for web ingestion, retrieval-augmented generation, and tool-using agents with practical Python and JavaScript examples.
Agentic AI: Definition and How It Works
Agentic AI uses a model, tools, memory, and a control loop to pursue goals. Learn how it works, where it fits, and how to make it safer and more reliable.
Build an AI Product Research Agent with n8n
Build an evidence-first n8n agent that collects products, extracts facts, scores options, and produces traceable recommendations.
How to Separate Agent Trust from Threats in Browser Automation
Treat browser content as untrusted input, and keep agent permissions in a separate, enforceable control plane. Here’s how to design, test, and audit that boundary.
Using Website Screenshots for AI Vision and Webpage Analysis
Learn how to capture webpages, run OCR and vision analysis, choose viewport or full-page shots, and build reliable visual regression checks.
LinkedIn Scraping APIs for AI Agents
There is no generally authorized LinkedIn scraping API. Build AI agents with approved APIs, consent, clear scopes, retention controls, and auditable vendors.
How Browser Session Traces Help AI Agents Understand Web Automation
Browser traces show what an AI agent did in a page and its network. Learn how to capture, inspect, and combine them with agent traces to debug automation.
Using Hermes Agent for Browser Automation and Screenshots
Learn Hermes Agent’s browser backends, accessibility-tree workflow, screenshot analysis, Chrome CDP setup, troubleshooting, and a simpler ScreenshotNeo option.
Using a Screenshot API with Hermes Agent
Connect Hermes Agent to browser screenshots with built-in tools, a hosted API, or MCP. This guide covers code, queues, security, troubleshooting, and ScreenshotNeo.
Creating Skills for AI Agents That Automate Browsers
Build a reliable browser automation skill with a clear SKILL.md, a Playwright workflow, verification steps and deliberate safety limits.
Using Agent Mode in a Browser Automation CLI
Learn the Agent Mode loop in agent-browser: install it, inspect JSON snapshots, act on fresh element references, and run reliably in CI.
How to Cut Browser Agent Inference Costs with Model Routing
Route each browser step to the cheapest model that meets your quality, latency and safety gates, then measure cost per successful task.
How to Build an AI Design Agent
Build a Figma-connected AI design agent that uses your design system, makes reviewable edits, and validates its work before approval.
Build an AI Research Dataset with Web MCP: Crawl Once, Reuse Forever
Build a reusable AI research dataset with Web MCP: crawl pages once, preserve citations, secure retrieval, and refresh content deliberately.