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Automation Articles

Browse 927 articles about Automation.

What Is the Gate Pattern for AI Agents? Why Agents Should Prepare, Not Submit

The gate pattern stops AI agents before they submit, pay, or sign. Learn why this design principle is essential for high-trust agentic workflows.

Multi-Agent Workflows AI Concepts

How to Build an AI Operating System for Your Business Using LLM Wikis

Learn how to ingest YouTube videos, meeting transcripts, and documents into an LLM wiki that makes every AI agent smarter and more context-aware.

Workflows Automation AI Concepts

How to Build a Long-Running AI Agent: 7 Components You Need

Learn the 7 essential components for building autonomous AI agents that run for hours without drifting, stopping early, or going off the rails.

Multi-Agent Workflows Automation

What Is the Outer Loop Pattern for AI Agents? How to Keep Agents Running Until Done

The outer loop pattern wraps AI agents in a control mechanism that checks progress, compares against goals, and restarts agents that stop too early.

Multi-Agent Workflows AI Concepts

What Is the Dark Factory Approach to AI Coding? How to Ship Code Without Human Bottlenecks

The dark factory is a fully autonomous AI coding pipeline that takes a spec and ships production code. Learn what it takes to build one reliably.

Workflows Automation Multi-Agent

How to Build a Brand Context Folder for AI Agents: Voice Profile, Visual Identity, and Positioning

Stop getting generic AI outputs. Build a brand context folder with voice profile, design tokens, and positioning files that every agent session inherits.

Workflows Automation Content Creation

Claude Code /goal vs /routines vs /loop: Which Autonomous Scheduling Method Should You Use?

Claude Code offers three ways to run agents autonomously: /goal for completion conditions, /loop for intervals, and /routines for cloud-based cron jobs.

Claude Automation Workflows

How to Build an OKF Knowledge Bundle: Share Your AI Knowledge Base with Any Agent

Google's Open Knowledge Format lets you package knowledge bases as shareable bundles. Learn how to build one and import it into your second brain.

Workflows Automation AI Concepts

How to Use GLM 5.2 for Agentic Workflows: Agent Harness, Chrome Extensions, and Game Clones

GLM 5.2 excels at coding agents, Chrome extensions, and long-context tasks at a fraction of frontier model costs. Here's how to use it effectively.

LLMs & Models Workflows Automation

Human-in-the-Loop Checkpoints for AI Agents: Why Full Autonomy Is the Wrong Goal

The best AI agent workflows aren't fully autonomous—they have human checkpoints at the right moments. Here's how to design them into your systems.

Multi-Agent Workflows Automation

The AI Context War: Why Siri, Claude Tag, and Codex Are Solving the Same Problem

Apple, Anthropic, and OpenAI are all racing to connect AI to your real-world context. Here's why context access matters more than model intelligence.

AI Concepts Enterprise AI Automation

What Is an AI Second Brain Knowledge Base? How to Build One with Claude Code

An AI second brain stores your knowledge so agents can search it by meaning. Learn how to build one with Claude Code using automated hourly processing.

Claude Workflows Automation

Claude Code Auto Mode, /goal, and Routines: How to Run Agents Without You

Combine Claude Code's auto mode, /goal, and routines to build AI workflows that run unsupervised. Here's how each feature works and when to use it.

Claude Automation Workflows

Claude Sonnet 5 Token Efficiency Problem: Why It Can Cost More Than Opus 4.8

Claude Sonnet 5 uses 30% more tokens than previous models. Learn why this happens and how to manage costs in agentic AI workflows.

Claude LLMs & Models Optimization

Claude Sonnet 5 vs Opus 4.8: Which Model Should You Use for Agentic Work?

Claude Sonnet 5 is cheaper but uses more tokens than Opus 4.8. Here's how to choose the right model for your agentic workflows and budget.

Claude LLMs & Models Comparisons

Human-in-the-Loop Checkpoints for AI Agents: Why Full Autonomy Is the Wrong Goal

Full AI autonomy creates quality problems. Learn how to design human checkpoints at the right moments to get leverage without losing control.

Automation Workflows AI Concepts

Multi-Perspective AI Research: How Sub-Agents Beat Single-Prompt Deep Research

Using 5 expert sub-agents for research produces better results than 100+ parallel agents. Here's the architecture and why it works for AI workflows.

Multi-Agent Workflows Automation

OpenAI Codex Record and Replay: How to Automate Repetitive Computer Tasks

OpenAI Codex can now record your screen workflow and replay it automatically. Learn how it works, its limitations, and how it compares to Claude skills.

GPT & OpenAI Automation Workflows

How to Use the STORM Research Method in Your AI Agent Workflows

Stanford's STORM method uses 5 expert perspectives to produce 25% more organized research. Learn how to implement it as a Claude Code skill.

Claude Workflows Automation

What Is Claude Tag? Anthropic's Slack-Native AI Agent for Enterprise Teams

Claude Tag lets teams bring Claude into Slack channels with scoped permissions and memory. Here's what it means for enterprise AI workflows.

Claude Integrations Enterprise AI