Automation Articles
Browse 789 articles about Automation.
Claude Code with Playwright CLI: Browser Automation via Shell Commands
Drive Playwright from Claude Code using shell commands — no MCP server required. Setup, QA testing loops, scraping patterns, and session storage explained.
How to Build a Multi-Agent Workflow That Runs Without You
Multi-agent systems let specialized agents handle research, coding, and testing in parallel. Here's how to structure one that actually ships work.
How to Use Playwright CLI with AI Agents for Automated QA Testing
AI agents can test your web app, find bugs, fix them, and retest automatically using Playwright CLI. Here's the setup and workflow that makes it work.
Automate Browser Tasks with Claude Code and the Playwright MCP Server
Use the Playwright MCP server to give Claude Code real browser control with structured DOM access — for QA, scraping, and authenticated sessions.
Gemini Enterprise Agent Platform: What It Means for Business Automation
Google's Gemini Enterprise orchestrates multiple agents from a single prompt across Workspace, Jira, and your data. Here's what it can do for businesses.
How to Build a Multi-Agent Workflow That Runs Your Business on Autopilot
Multi-agent systems can handle research, content, outreach, and ops simultaneously. Learn the architecture that makes autonomous business workflows work.
How to Build a Web Scraping Agent That Finds Leads and Contact Info
Use Claude Code and Playwright to search the web, visit sites, and extract contact information automatically. A practical guide with real examples.
How to Automate Video Editing End-to-End With Claude Code
Use Claude Code with VideoUse and Hyperframes to trim raw footage, add motion graphics, and render finished videos without touching a timeline editor.
How to Use AI Agents for Financial Analysis and Knowledge Work
Claude Opus 4.7 scores 78% on healthcare financial tasks and handles 60-page documents coherently. Here's how to apply it to real knowledge work.
How to Deploy AI Agents to Production: 7 Things You Must Get Right
Before shipping a multi-user AI agent, lock down model control, prompt versioning, guardrails, budget limits, MCP auth, tracing, and evals.
MCP Servers Explained: What They Are and Why Every AI Agent Needs Them
MCP servers give AI agents structured access to tools, APIs, and data sources. Learn what they are, how authentication works, and when to use them.
What Is an Agentic Operating System? The Six-Layer Infrastructure Stack
An agentic OS connects memory, tools, orchestration, and workflows into a six-layer infrastructure stack so AI agents can run business processes end-to-end.
How to Build an Agentic Operating System Inside Claude Code
Replace OpenClaw and Hermes with a custom Claude Code setup: persistent memory layers, self-improving skills, scheduled workflows, and business context.
How to Build a ChatGPT Workspace Agent: Step-by-Step Tutorial
ChatGPT Workspace Agents let you automate multi-step tasks across Slack, Gmail, and Linear. Here's how to build, test, and deploy one from scratch.
How to Use Claude Code Skills to Automate Repeatable Business Tasks
Claude Code skills are reusable process documents that improve over time. Learn how to create, refine, and chain them into automated business workflows.
Claude Code vs OpenClaw: Do You Actually Need a Separate Agent Framework?
OpenClaw and Hermes promise persistent memory and scheduled jobs, but Claude Code already has the ingredients. Here's when to build vs buy.
What Is Context Management in AI Agents and Why It Determines Output Quality
Context rot degrades agent outputs as sessions grow. Learn how to segment memory layers, use reference files, and keep context lean for better results.
How to Deploy AI Agents to Production: A 7-Point Checklist
Before shipping a multi-user AI agent, you need model control, guardrails, budget limits, tool auth, tracing, and evals. Here's what each one requires.
Claude Code vs OpenClaw: Which Should You Use to Automate Your Business?
OpenClaw and Claude Code both promise autonomous agents. Compare their memory, scheduling, cost, and business context capabilities before you choose.
What Are AI World Models for Business? Three Architectures and Their Failure Modes
World models promise to replace status meetings with living company knowledge. Here's how vector, ontology, and signal approaches each break.