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Workflows Articles

Browse 1221 articles about Workflows.

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 Use Claude Fable 5 Without Triggering the Opus 4.8 Safety Fallback

Claude Fable 5 silently routes certain requests to Opus 4.8. Learn which prompts trigger the fallback and how to avoid it in your agent workflows.

ClaudePrompt EngineeringWorkflows

Claude Fable 5 Effort Levels Explained: When to Use Low, Medium, High, and Max

Claude Fable 5 has five effort levels that control cost and reasoning depth. Learn which to use for routine tasks vs complex agentic workflows.

ClaudeWorkflowsOptimization

How to Build an OKF Knowledge Bundle and Share It with Any AI Agent

OKF bundles let you package structured knowledge and share it across agents. Here's how to build one, add metadata, and deploy it to your second brain.

WorkflowsMulti-AgentAI Concepts

How to Prompt Claude Fable 5 for Maximum Output Quality: 6 Rules from Anthropic

Anthropic's own documentation reveals six prompting rules for Claude Fable 5—including effort levels, negative prompting, and avoiding Opus fallback.

ClaudePrompt EngineeringWorkflows

How to Use Gemini Omni Flash for Conversational Video Editing via the API

Gemini Omni Flash lets you edit video through natural language in multi-turn sessions. This guide covers the Interactions API and key use cases.

GeminiVideo GenerationIntegrations

How to Use GLM 5.2 in Agent Harnesses: Cursor, OpenCode, and Claude Code

GLM 5.2 integrates with Cursor, OpenCode, and Claude Code for agentic coding tasks at roughly one-fifth the cost of frontier models.

LLMs & ModelsWorkflowsMulti-Agent

What Is Seedance 2.5's Multimodal Reference System? 50 Inputs, One Consistent Video

Seedance 2.5 supports up to 50 image, video, and audio references in a single generation. Here's how the reference system works and when to use it.

Video GenerationAI ConceptsContent Creation

What Is GLM 5.2? The Open-Weight Model With 1M Token Context for Agentic Workflows

GLM 5.2 is ZAI's flagship open-weight model with 1M token context, MCP support, and frontier-level coding at a fraction of the cost.

LLMs & ModelsMulti-AgentAI Concepts

What Is the Open Knowledge Format (OKF)? Google's Standard for AI Knowledge Bases

OKF is Google's open standard for building shareable LLM knowledge bases. Learn how it works, why it matters, and how to adopt it for your agents.

AI ConceptsWorkflowsIntegrations

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