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Workflows Articles

Browse 1206 articles about Workflows.

How to Build an AI Newsletter Digest Workflow with Claude Code, Gmail MCP, and /goal

Use Claude Code skills, Gmail MCP, and the /goal command to automatically scan your inbox for AI news, score stories, and draft LinkedIn posts every morning.

WorkflowsAutomationContent Creation

G Stack by Garry Tan: How to Turn Your AI Coding Agent Into a Virtual Engineering Team

G Stack gives your AI agent 23 specialist roles and 8 power tools. Learn how to install it in Claude Code or Codex and use it for code review and planning.

WorkflowsAutomationUse Cases

How to Use the /goal and /routines Commands in Claude Code for Scheduled Autonomous Workflows

The /goal command keeps Claude running until completion criteria are met. Pair it with /routines to build autonomous daily workflows that run without you.

WorkflowsAutomationClaude

How to Use Graphify to Build a Queryable Knowledge Graph for Your AI Agent

Graphify turns codebases and notes into a queryable knowledge graph, saving tokens and giving your agent persistent memory. Here's how to install and use it.

WorkflowsIntegrationsProductivity

How to Run GLM 5.2 in Claude Code Using OpenRouter: A 5-Minute Setup Guide

You can run GLM 5.2 inside Claude Code's harness via OpenRouter in minutes. This guide covers setup, the anthropic_base_url trick, and web search integration.

LLMs & ModelsIntegrationsWorkflows

Static Context vs Dynamic Context in AI Agents: How to Manage What Your Agent Knows

Static context loads every session; dynamic context loads on demand. Learn how to balance both for token efficiency and reliable AI agent performance.

WorkflowsPrompt EngineeringOptimization

Vibe Coding vs Agentic Engineering: Google's Spectrum Explained

Google's AI coding guide defines a spectrum from vibe coding to agentic engineering. Learn which approach fits your project and when to use each level.

WorkflowsAI ConceptsComparisons

What Is a Loop of Loops? How to Build AI Agents That Manage Recurring Work

A loop of loops lets recurring AI jobs notice each other, share context, and hand off without you managing every step. Learn the concept and how to apply it.

WorkflowsAutomationAI Concepts

How to Build an AI Newsletter Digest Skill with Claude Code and Gmail MCP

Use Claude Code Ultra Code mode and Gmail MCP to build a skill that scouts your inbox, scores AI news, and drafts LinkedIn posts automatically every morning.

ClaudeWorkflowsAutomation

How to Use Claude Code's /goal Command to Run Agents Until Completion

The /goal command in Claude Code lets agents run until measurable conditions are met. Learn how to set verifiable finish lines that prevent mid-task stops.

ClaudeWorkflowsAutomation

How to Use /goal and /routines in Claude Code for Autonomous Scheduled Workflows

Combine /goal and /routines in Claude Code to run recurring tasks autonomously. Learn how to set completion conditions so agents finish without stopping early.

ClaudeAutomationWorkflows

How to Add Persistent Memory to Claude Code: Storage, Injection, and Recall

Claude Code's built-in memory captures almost nothing. Here's how to add Memarch, Hermes, or GBrain for real storage, injection, and semantic recall.

WorkflowsAutomationClaude

What Is Seedance 2.5? ByteDance's Next-Gen AI Video Model Explained

Seedance 2.5 generates 30-second native clips with 50 multimodal references. Learn what's new, when it launches, and how it changes AI video workflows.

Video GenerationAI ConceptsWorkflows

Agent Loops Explained: Trigger, Action, and Stop Condition

An agent loop is a trigger, an action, and a stop condition. Learn how to design loops that run autonomously and know when to stop.

WorkflowsAutomationAI Concepts

How to Design Agent Loops with Verifiable Stop Conditions

The best agent loops use objective stop criteria, not subjective ones. Learn how to define done conditions that agents can check deterministically.

WorkflowsAutomationPrompt Engineering

AI Agent Ownership: Why Every Agent Needs a Single Responsible Owner

Unowned AI agents cause silent failures. Learn the four pillars of agent ownership—job, diet, boundaries, and review loop—to keep agents reliable.

Multi-AgentWorkflowsEnterprise AI

How to Build an AI Agent Roster for Your Team: The Agent Ownership Card

Every agent your team uses needs a name, owner, job, sources, permissions, and known failure modes. Here's how to build and maintain an agent registry.

Multi-AgentEnterprise AIWorkflows

Build vs Buy for AI Tools: A Framework for Business Owners Using Claude Code

When should you build a custom AI tool vs buy a SaaS? Use this two-criteria framework to avoid wasting time rebuilding what already exists.

WorkflowsAutomationEnterprise AI

How to Use GLM 5.2 as a Backend for Your AI Agents: OpenRouter Setup Guide

Run GLM 5.2 inside Claude Code or any agent harness via OpenRouter. Step-by-step setup to cut API costs without sacrificing coding quality.

LLMs & ModelsWorkflowsIntegrations

How to Build an Overnight Docs Sweep Loop for Your Codebase

Run a nightly agent loop that reviews your codebase for documentation gaps, updates outdated docs, and opens a pull request—automatically.

WorkflowsAutomationUse Cases