Workflows Articles
Browse 457 articles about Workflows.
What Is the Context Layer in AI? The Missing Step Between Basic Prompting and Agentic Workflows
Context is the most valuable asset on the internet. Learn how companies like Notion, Salesforce, and Snowflake own the context layer and why it matters.
What Is Cursor Remote Access? How to Control Your AI Coding Agent from Your Phone
Cursor now lets you run agents on your dev box and control them from anywhere, including your phone. Learn how to set it up and what it enables.
What Is the Gemini Notebooks Feature? How It Compares to Claude Projects and ChatGPT Memory
Gemini Notebooks organizes chats, files, and custom instructions in one space and syncs with NotebookLM. Here's how it stacks up against competitors.
What Is the Karpathy LLM Wiki Pattern? How to Build a Personal Knowledge Base With Claude
Andrej Karpathy's LLM Wiki uses plain text files instead of vector databases and is reportedly 70x more efficient than RAG. Here's how to build one.
LLM Wiki vs RAG: When to Use Markdown Knowledge Bases Instead of Vector Databases
The LLM Wiki pattern stores knowledge in plain text files instead of vector databases. Learn when it outperforms RAG and how to implement it.
What Is the Middleware Trap in AI? Why Building on Models You Don't Own Is Risky
Most AI app builders are thin wrappers with no durable moat. Learn why the middleware trap is real and which structural layers are safe to build on.
How to Build a Transcript-to-ClickUp Agent With Anthropic Managed Agents
Learn how to build a sales call transcript processor that automatically creates ClickUp tasks using Anthropic Managed Agents and OAuth integrations.
What Is Anthropic's Managed Agents? How to Deploy AI Agents Without Infrastructure
Anthropic Managed Agents lets you build and host AI agents on Anthropic's backend with OAuth, sandboxing, and session management built in.
What Is the Archon Harness Builder? The Open-Source Framework for Custom AI Coding Workflows
Archon is an open-source harness builder for AI coding that lets you define YAML workflows, run parallel agents, and automate your entire SDLC.
What Is GLM 5.1? The Open-Source Model That Matches GPT-5.4 on Coding
GLM 5.1 from ZAI is a 754B open-weight model under MIT license that rivals closed frontier models on SWE-bench. Here's what it can do.
What Is Harness Engineering? The Next Evolution Beyond Prompt and Context Engineering
Harness engineering is the practice of orchestrating multiple AI coding agent sessions into repeatable workflows. Learn how it works and why it matters.
What Is the AI Learning Roadmap? Three Levels From Basic Prompting to Autonomous Agents
The AI learning roadmap has three levels: basic usage, context layer, and agentic systems. Learn why you must master the context layer before building agents.
Anthropic Managed Agents vs n8n vs Zapier: Which Should You Use?
Compare Anthropic Managed Agents, n8n, and Zapier for building AI automation workflows. See which platform fits your use case, skill level, and budget.
What Is Claude Code Agent Teams? How Parallel Agents Share a Task List in Real Time
Claude Code Agent Teams let multiple AI agents communicate through a shared task list. Learn how to enable it, when to use it, and what the token cost is.
5 Claude Code Agentic Workflow Patterns: From Sequential to Fully Autonomous
Learn the five Claude Code workflow patterns—sequential, operator, split-and-merge, agent teams, and headless—and when to use each for maximum productivity.
What Is Claude Code Headless Mode? How to Run AI Agents Without a Terminal
Claude Code headless mode uses the -p flag to run agents autonomously on a schedule. Learn how to set it up with cron jobs for fully automated workflows.
What Is the Claude Code Split-and-Merge Pattern? How Sub-Agents Run in Parallel
The split-and-merge pattern lets Claude fan out work to up to 10 sub-agents simultaneously. Learn how it works and when to use it over agent teams.
What Is the Gemma 4 Vision Agent? How to Combine a VLM With an Image Segmentation Model
Combine Gemma 4 with Falcon Perception to build a vision agent that counts objects, segments images, and reasons about visual data—all running locally.
What Is the Gemma 4 Vision Agent? How to Build Object Detection Pipelines With Local Models
Combine Gemma 4 with Falcon Perception to build a local vision agent that counts objects, segments images, and reasons about visual scenes without cloud APIs.
How to Save Tokens in Claude Code Using the Opus Plan Mode
Use /model opus-plan in Claude Code to plan with Opus and execute with Sonnet. This guide shows how to extend your session limit and cut token costs.