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Automation Articles

Browse 948 articles about Automation.

AI Agent Observability: How to Monitor Agents Running for Hours Without Babysitting

Discover how to add observability to long-running AI agents so you can catch failures, track costs, and fix issues before users notice.

Multi-AgentWorkflowsAutomation

How to Use AI Agents for High-Stakes Paperwork: Insurance, Taxes, and Healthcare

Learn how to apply a 9-part agent skeleton to organize messy documents into structured case files for insurance appeals, tax prep, and healthcare claims.

WorkflowsAutomationUse Cases

How to Build an AI Flywheel: Reusing Agent Primitives Across Email, Insurance, and Taxes

Learn how to build reusable agent primitives—ingestion, normalization, citations, and gates—that make every new AI workflow faster and cheaper to build.

WorkflowsAutomationAI Concepts

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-AgentWorkflowsAI 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.

WorkflowsAutomationAI 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-AgentWorkflowsAutomation

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-AgentWorkflowsAI 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.

WorkflowsAutomationMulti-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.

WorkflowsAutomationContent 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.

ClaudeAutomationWorkflows

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.

WorkflowsAutomationAI 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 & ModelsWorkflowsAutomation

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 ConceptsEnterprise AIAutomation

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.

ClaudeWorkflowsAutomation

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.

ClaudeLLMs & ModelsOptimization

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.

ClaudeLLMs & ModelsComparisons

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-AgentWorkflowsAutomation

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.

ClaudeWorkflowsAutomation

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.

ClaudeIntegrationsEnterprise AI

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

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

AI ConceptsAutomationEnterprise AI