Workflows Articles
Browse 406 articles about Workflows.
What Is the AI Learning Roadmap? Three Levels From Basic Prompting to Autonomous Agents
The AI learning roadmap has three levels: basic usage, context layer, and agentic systems. Learn why you must master the context layer before building agents.
Anthropic Managed Agents vs n8n vs Zapier: Which Should You Use?
Compare Anthropic Managed Agents, n8n, and Zapier for building AI automation workflows. See which platform fits your use case, skill level, and budget.
What Is Claude Code Agent Teams? How Parallel Agents Share a Task List in Real Time
Claude Code Agent Teams let multiple AI agents communicate through a shared task list. Learn how to enable it, when to use it, and what the token cost is.
5 Claude Code Agentic Workflow Patterns: From Sequential to Fully Autonomous
Learn the five Claude Code workflow patterns—sequential, operator, split-and-merge, agent teams, and headless—and when to use each for maximum productivity.
What Is Claude Code Headless Mode? How to Run AI Agents Without a Terminal
Claude Code headless mode uses the -p flag to run agents autonomously on a schedule. Learn how to set it up with cron jobs for fully automated workflows.
What Is the Claude Code Split-and-Merge Pattern? How Sub-Agents Run in Parallel
The split-and-merge pattern lets Claude fan out work to up to 10 sub-agents simultaneously. Learn how it works and when to use it over agent teams.
What Is the Gemma 4 Vision Agent? How to Combine a VLM With an Image Segmentation Model
Combine Gemma 4 with Falcon Perception to build a vision agent that counts objects, segments images, and reasons about visual data—all running locally.
What Is the Gemma 4 Vision Agent? How to Build Object Detection Pipelines With Local Models
Combine Gemma 4 with Falcon Perception to build a local vision agent that counts objects, segments images, and reasons about visual scenes without cloud APIs.
How to Save Tokens in Claude Code Using the Opus Plan Mode
Use /model opus-plan in Claude Code to plan with Opus and execute with Sonnet. This guide shows how to extend your session limit and cut token costs.
What Is Anthropic's Managed Agents? How to Build and Deploy AI Agents Without Infrastructure
Anthropic Managed Agents lets you build, test, and deploy AI agents with built-in OAuth, credential vaults, and hosted environments—no server setup required.
What Is the Archon Harness Builder? The Open-Source Framework for Custom AI Coding Workflows
Archon is the first open-source harness builder for AI coding. Learn how it wraps Claude Code and Codex to create deterministic, reusable workflows in YAML.
Anthropic Managed Agents vs n8n vs Trigger.dev: Which Should You Use?
Compare Anthropic Managed Agents, n8n, and Trigger.dev for building AI automation workflows. See which platform fits your use case and technical level.
What Is the Anthropic OpenClaw Ban? How Third-Party Harnesses Were Blocked From Claude Subscriptions
Anthropic restricted third-party tools like OpenClaw from using Claude subscriptions, forcing users to pay API rates. Here's what happened and why.
5 Claude Code Agentic Workflow Patterns: From Sequential to Fully Autonomous
Learn the five Claude Code workflow patterns—sequential, operator, split-and-merge, agent teams, and headless—and when to use each for maximum productivity.
OpenClaw vs Claude Code Channels vs Managed Agents: Which Should You Use in 2026?
Compare OpenClaw, Claude Code Channels, and Anthropic Managed Agents to find the right always-on AI agent setup for your workflow and budget.
What Is Anthropic's Managed Agents? How to Build and Deploy AI Agents Without Infrastructure
Anthropic Managed Agents lets you host AI agents on Anthropic's cloud with built-in OAuth, credential vaults, and MCP connections—no server setup required.
What Is the Claude Code Git Worktree Pattern? How to Run Parallel Feature Branches With AI
The claude -w flag creates isolated git worktrees for each task, letting you run multiple Claude Code sessions in parallel without context interference.
What Is the Claude Code Split-and-Merge Pattern? How Sub-Agents Run in Parallel
The split-and-merge pattern lets Claude fan out work to up to 10 sub-agents simultaneously, each with its own context window, then merge results automatically.
What Is Harness Engineering? The Next Evolution Beyond Prompt and Context Engineering
Harness engineering orchestrates multiple AI coding agent sessions to handle complex workflows. It's why Stripe ships 1,300 AI pull requests per week.
What Is the OpenAI Unified AI Super App? How ChatGPT, Codex, and Browsing Are Merging
OpenAI is building a unified AI super app that combines ChatGPT, Codex, and browsing into one agent-first experience. Here's what that means for users.