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Browse 948 articles about Automation.

How to Use AI Agents for Content Creation: From Research to Social Post with One Loop

Build a single agentic loop that researches a topic, writes copy, generates visuals, and schedules a social post. A practical workflow for content teams.

AutomationContent CreationWorkflows

ChatGPT Scheduled Tasks: How to Automate Daily AI Briefings and Email Workflows

ChatGPT's new scheduled tasks let you run automated daily briefings and Gmail-connected email workflows. Here's how to set them up and optimize the prompts.

GPT & OpenAIAutomationProductivity

How to Build a Persistent Memory System for Claude Code: Short-Term, Long-Term, and Scoped Access

Claude Code forgets everything between sessions. Learn how to build a three-layer memory system with source citation, semantic search, and team-scoped access.

WorkflowsMulti-AgentAutomation

What Is Google Flow Tools? How to Build Custom AI Workflows Without Code

Google Flow Tools lets you build and remix AI-powered creative tools using plain English. Learn how to create custom image, video, and prompting workflows.

WorkflowsAutomationAI Concepts

7 Agentic Loop Use Cases You Can Run Today: From SEO Audits to Error Sweeps

From overnight docs sweeps to production error detection, these 7 agent loop templates automate real business tasks without constant human prompting.

WorkflowsAutomationUse Cases

How to Build an AI Workflow That Survives Government Model Shutdowns

When Claude Fable 5 was pulled overnight, builders with model-agnostic stacks kept working. Here's how to design AI workflows that survive sudden access loss.

WorkflowsAutomationEnterprise AI

ChatGPT Gmail Connector: How to Send Emails and Automate Inbox Management

ChatGPT's Gmail connector can now send emails, not just read them. Learn how to combine it with scheduled tasks for semi-automated inbox management.

GPT & OpenAIAutomationIntegrations

How to Use GLM 5.2 in Your AI Workflows: Setup, Providers, and Cost Savings

GLM 5.2 delivers near-Opus-level coding performance at 85% lower cost. Learn how to set it up via OpenRouter, Z.AI, and self-hosting for your AI workflows.

LLMs & ModelsWorkflowsAutomation

How to Use OpenRouter to Run GLM 5.2 in Claude Code for Cheaper Agentic Workflows

GLM 5.2 via OpenRouter costs $1.40 per million input tokens vs Claude Fable's $10. Here's how to set it up in Claude Code in under 5 minutes.

LLMs & ModelsIntegrationsAutomation

How to Build a Production Error Sweep Loop: Nightly AI Bug Detection and Auto-Fix

A production error sweep loop reviews logs nightly, traces bugs to root causes, opens PRs, and pings you in Slack—all without manual intervention.

AutomationWorkflowsUse Cases

What Is the Harness Maintenance Checklist? 5 Questions to Ask Before Every Model Update

Before updating your AI agent's model, audit what it reads, what it can touch, what its job is, what proof it provides, and whether it still delivers value.

WorkflowsMulti-AgentAI Concepts

AI Agent Harness Maintenance: Why Agents Break When Models Get Better

Agents can fail not because the model degraded but because it improved. Learn why harness maintenance is the most underrated skill in agentic AI development.

WorkflowsMulti-AgentAI Concepts

How to Use Claude Code /goal and Auto Mode Together for Fully Autonomous Workflows

Combine Claude Code's Auto Mode and /goal command to run tasks end-to-end without approvals or early stops. Here's the setup and when to use it.

WorkflowsAutomationMulti-Agent

How to Build an Expert AI Coding Workflow: Skills, Automations, Loops, and Cloud Agents

Top agentic coders use skills, automations, loops, and cloud agents to ship code 24/7. Here's the full workflow from beginner prompting to expert automation.

WorkflowsAutomationMulti-Agent

How to Use GLM 5.2 in Claude Code: Cheaper Agentic Workflows Without Sacrificing Quality

GLM 5.2 plugs into Claude Code via OpenRouter or Z.AI, cutting costs 5x vs Opus. Here's how to set it up and when to use it over frontier models.

LLMs & ModelsWorkflowsAutomation

AI Agent Harness Maintenance: Why Your Wrapper Breaks When the Model Gets Better

Agents break when models improve, not just when they fail. Learn the four principles of harness maintenance that keep AI workflows reliable over time.

WorkflowsAutomationMulti-Agent

How to Audit Your AI Agent Harness: 5 Questions to Ask Before Every Model Update

Use this five-question audit to check your agent's sources, reach, job definition, proof requirements, and value before switching to a new model.

WorkflowsAutomationOptimization

How to Build an AI Workflow That Survives Sudden Model Access Loss

When a frontier model goes offline overnight, your workflows shouldn't stop. Learn how to build model-agnostic AI systems that survive access disruptions.

WorkflowsAutomationEnterprise AI

How to Use /goal and /loop in Claude Code for Autonomous Long-Running Workflows

Combine /goal and /loop in Claude Code to define completion criteria and set recurring schedules so your agent runs until the job is truly done.

ClaudeWorkflowsAutomation

Loop Engineering vs Harness Engineering: What's the Difference and Which Do You Need?

Loop engineering sets cadence and completion criteria. Harness engineering defines the full system around an agent. Learn when each approach wins.

WorkflowsAutomationComparisons