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Workflows Articles

Browse 1178 articles about Workflows.

How to Build a Long-Running AI Agent That Doesn't Go Off the Rails

Long-running agents need 7 components to stay reliable: goal, evaluator, verifiers, loops, orchestration, observability, and memory. Here's how to build them.

Multi-Agent Workflows Automation

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

Learn how to use the Gemini Omni Flash Interactions API to generate, edit, and restyle videos through multi-turn conversation with code examples.

Gemini Video Generation Workflows

Token Reduction Strategies for AI Agents: 8 Techniques That Cut Costs by 50% or More

Semantic compression, RTK, logs to SQLite, and capped thinking budgets can cut AI agent token costs by 50–99% with near-zero quality loss. Here's how.

Workflows Automation Optimization

What Is the Dark Factory Approach to AI Coding? How to Ship Code Without Human Bottlenecks

The dark factory takes a spec and ships production code with no human in the loop. Learn the architecture, required agents, and why most teams aren't ready yet.

Workflows Multi-Agent Automation

The 5 Levels of AI Coding: From Spicy Autocomplete to the Dark Factory

Discover the five levels of AI coding autonomy—from manual reference tools to fully autonomous dark factories—and find the right level for your workflow.

Workflows Automation AI Concepts

AI Agent Evaluators and Verifiers: How to Stop Agents from Grading Their Own Work

Learn why AI agents shouldn't evaluate their own output and how to build separate evaluator and verifier components that catch errors before they ship.

Multi-Agent Workflows AI Concepts

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-Agent Workflows Automation

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.

Workflows Automation Use 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.

Workflows Automation AI 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-Agent Workflows AI 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.

Workflows Automation AI 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-Agent Workflows Automation

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-Agent Workflows AI 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.

Workflows Automation Multi-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.

Claude Prompt Engineering Workflows

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.

Claude Workflows Optimization

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.

Workflows Multi-Agent AI 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.

Claude Prompt Engineering Workflows

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.

Gemini Video Generation Integrations

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 & Models Workflows Multi-Agent