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Workflows Articles

Browse 1221 articles about Workflows.

How to Use GLM 5.2 for Agentic Workflows: Agent Harness, Chrome Extensions, and Game Clones

GLM 5.2 excels at coding agents, Chrome extensions, and long-context tasks at a fraction of frontier model costs. Here's how to use it effectively.

LLMs & ModelsWorkflowsAutomation

Human-in-the-Loop Checkpoints for AI Agents: Why Full Autonomy Is the Wrong Goal

The best AI agent workflows aren't fully autonomous—they have human checkpoints at the right moments. Here's how to design them into your systems.

Multi-AgentWorkflowsAutomation

Open-Weight AI Models vs Closed Frontier Models: How to Choose for Your Agent Stack

GLM 5.2, Qwen, and DeepSeek are catching up to Claude and GPT. Learn when open-weight models win and when frontier models are worth the cost.

LLMs & ModelsComparisonsAI Concepts

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

OKF is Google's open standard for LLM wikis—a minimal layer on top of Karpathy's knowledge base pattern that makes wikis shareable across AI agents.

AI ConceptsWorkflowsProductivity

What Is an AI Second Brain Knowledge Base? How to Build One with Claude Code

An AI second brain stores your knowledge so agents can search it by meaning. Learn how to build one with Claude Code using automated hourly processing.

ClaudeWorkflowsAutomation

How to Build a Brand Context Folder for Claude Code: Voice, Visual Identity, and Positioning

A brand context folder gives Claude your voice, design tokens, and ICP so every output sounds like you. Here's how to build one in 30 minutes.

ClaudeWorkflowsContent Creation

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

Learn how to use Google's Gemini Omni Flash Interactions API to edit videos with text prompts, swap characters, and restyle scenes programmatically.

GeminiVideo GenerationWorkflows

Multi-Perspective AI Research: How Sub-Agents Beat Single-Prompt Deep Research

Using 5 expert sub-agents for research produces better results than 100+ parallel agents. Here's the architecture and why it works for AI workflows.

Multi-AgentWorkflowsAutomation

How to Use the STORM Research Method in Your AI Agent Workflows

Stanford's STORM method uses 5 expert perspectives to produce 25% more organized research. Learn how to implement it as a Claude Code skill.

ClaudeWorkflowsAutomation

The AI Context War: Why Siri, Claude Tag, and Codex Are All Solving the Same Problem

Apple, Anthropic, and OpenAI are all racing to connect AI to your real-world context. Here's why context access now matters more than model intelligence.

AI ConceptsAutomationEnterprise AI

How to Build a Brand Context Folder That Makes Every AI Output Sound Like You

A brand context folder with voice profile, visual identity, and positioning files gives every Claude session consistent, on-brand outputs from the start.

WorkflowsAutomationClaude

How to Use Claude Code's /goal Command with Routines for Fully Autonomous Scheduled Workflows

Combining /goal with Claude Code routines lets you set finish conditions and run recurring tasks on a cron schedule without ever sitting at your terminal.

WorkflowsAutomationClaude

Human-in-the-Loop Checkpoints for AI Agents: Why Full Autonomy Is the Wrong Goal

The best AI workflows aren't fully autonomous. Learn how to identify the two or three checkpoints where human review prevents costly mistakes and AI slop.

WorkflowsAutomationMulti-Agent

OpenAI Codex Record and Replay: How to Automate Repetitive Computer Tasks Without Code

Codex's record-and-replay feature lets you demonstrate a workflow once and have AI repeat it. Learn how it works, its limits, and how to use it effectively.

GPT & OpenAIAutomationWorkflows

How to Use Seed Audio as a Reference for Seedance Video Generation

Generating audio first with Seed Audio and using it as a Seedance reference produces better voice acting and ambient sound while reducing expensive re-rolls.

Video GenerationWorkflowsAutomation

How to Build a Multi-Perspective AI Research Workflow Using the STORM Method

Stanford's STORM method uses five expert agent personas to produce research 25% more organized than single-prompt approaches. Here's how to build it.

WorkflowsMulti-AgentAutomation

Sub-Agents vs Agent Teams in Claude Code: What's the Difference and When to Use Each

Sub-agents report to one session but can't talk to each other. Agent teams can debate and collaborate. Learn which architecture fits your workflow.

Multi-AgentWorkflowsClaude

Claude Code Auto Mode, /goal, and /routines: How to Run Agents Without You

Learn how to combine Claude Code's auto mode, /goal command, and routines to build AI workflows that run scheduled tasks without human supervision.

WorkflowsAutomationClaude

How to Build an AI Second Brain Knowledge Base with Claude Code

Learn how to build an AI second brain using Claude Code with voice profiles, visual identity files, and positioning docs that power every agent session.

WorkflowsAutomationClaude

How to Prevent AI Sycophancy in Your Workflows: The Multi-Persona Council Method

AI models agree with you 88% of the time. Learn how to use a multi-persona council—contrarian, buyer, researcher—to stress-test ideas before you build.

Prompt EngineeringWorkflowsAI Concepts