Automation Articles
Browse 948 articles about Automation.
How to Build a Portable AI Second Brain That Works Across Claude, Codex, and Hermes
Build your AI second brain as markdown files and folders so any agent harness can read it. Learn the routing rules, folder structure, and memory patterns.
The Subtraction Principle for AI Agents: Why Fewer Tools Means Better Performance
Vercel improved its sales agent by deleting 80% of its tools. Learn why removing agent capabilities often produces better results than adding more.
What Is Loop Engineering? The New Meta for Autonomous AI Agent Workflows
Loop engineering uses /loop, /goal, and /routines to run AI agents continuously without manual prompting. Here's what it is and when to use it.
Claude Fable 5 Government Ban Explained: What AI Builders Need to Know
The US government suspended Claude Fable 5 via export controls. Here's what happened, why it matters, and how to build workflows that survive model disruptions.
How to Use OmniAgent to Orchestrate Claude and Codex in One Workflow
Learn how to use OmniAgent's Polly orchestrator to delegate implementation to Claude and code review to Codex in a single automated pipeline.
How to Run Claude Code on a VPS with Mobile Access: T-Max and Telegram Setup
Claude Code sessions die when you disconnect. Run it on a $15/month VPS with T-Max to keep sessions alive and dispatch tasks from your phone via Telegram.
What Is an AI Second Brain OS? How to Build a Portable Knowledge System for Your Agents
An AI second brain OS is a folder of markdown files any model can read. Here's how to build one that survives model bans, platform changes, and context resets.
What Is OmniAgent? The Open-Source Meta Harness for AI Agent Orchestration
OmniAgent is Databricks' open-source meta harness that lets you run Claude, Codex, and custom agents under one roof with shared sessions and policies.
AI Pricing Is About to Change: Why the $20/Month Era Is Ending
AI subscriptions are unsustainably cheap. Learn why usage-based pricing is coming, what it means for your workflows, and how to prepare now.
Claude Code for Non-Coders: Every Key Concept Explained Simply
Claude Code can feel intimidating without a coding background. This guide explains auto mode, skills, MCP, hooks, and memory in plain language.
How to Build a Skill System in Claude Code: From Individual Skills to End-to-End Pipelines
Individual Claude Code skills are useful, but chaining them into skill systems is where the real automation leverage comes from. Here's how to build one.
Claude Fable 5 vs GPT 5.5: Which Frontier Model Wins for Agentic Workflows?
Compare Claude Fable 5 and GPT 5.5 on benchmarks, coding, research, and real-world agentic tasks to find the right model for your workflows.
How to Future-Proof Your Career with AI: 6 Skills That Actually Matter
Learn the 6 AI skills that protect your career from automation—from becoming the AI person at work to building multiple income streams with AI.
How to Build a Model-Agnostic AI Agent Stack That Survives Platform Disruptions
When Claude Fable 5 went offline overnight, workflows broke. Here's how to build portable AI agent systems that survive model bans and outages.
What Is the Vending Machine vs Slot Machine Principle for AI Agents?
Not every task needs an AI agent. Learn when to use deterministic workflows versus AI agents to cut costs and reduce failure risk in your automations.
What Is the AI Second Brain? How to Build a Knowledge Base Your Agents Can Search
An AI second brain stores your context so agents can recall it on demand. Learn how to build one with Claude Code, Notion, and markdown files.
What Is a Meta Harness for AI Agents? How OmniAgent Orchestrates Claude, Codex, and More
A meta harness sits above individual AI coding agents to orchestrate them together. Learn how OmniAgent unifies Claude Code, Codex, and Pi in one session.
How to Build an AI Workflow That Generates a Complete YouTube Video from One Prompt
Claude Fable 5 wrote the script, cloned the voice, rendered the avatar, built motion graphics, and edited the video autonomously. Here's the full workflow.
How to Build an AI Workflow That Survives Government Model Bans
The Claude Fable 5 shutdown showed how fragile single-model workflows are. Here's how to build portable, model-agnostic AI systems that keep running.
Tokens vs Harnesses: Why the Work Layer Matters More Than the Model for AI Strategy
Raw intelligence is becoming a commodity. The real value in AI is the harness—the context, evals, routing, and workflow layer that turns tokens into work.