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Workflows Articles

Browse 1206 articles about Workflows.

What Is Semantic Compression? How to Cut AI Token Costs by 75% Without Losing Quality

Semantic compression rewrites prompts and system files to maximum information density. Learn how to reduce token usage by 75% with zero quality loss.

WorkflowsOptimizationPrompt Engineering

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

AI coding ranges from enhanced search to fully autonomous deployment. Learn the 5 levels, where you should be, and what it takes to reach the dark factory.

WorkflowsAutomationAI Concepts

Claude Sonnet 5 vs Opus 4.8 for AI Workflows: Which Model Should You Actually Use?

Claude Sonnet 5 is cheaper but can cost more than Opus in agents. Learn when to use each model and how to pick the right one for your workflows.

ClaudeLLMs & ModelsComparisons

How to Build an LLM Wiki Knowledge Base with Obsidian and Claude Code

Learn how to build a self-growing knowledge base from YouTube transcripts, PDFs, and URLs using Karpathy's LLM wiki architecture and Claude Code.

WorkflowsAutomationClaude

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.

WorkflowsAutomationOptimization

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.

WorkflowsAutomationAI 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-AgentWorkflowsAI 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-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