Workflows Articles
Browse 861 articles about Workflows.
What Is the Claude Agent SDK? How It Differs from the Claude API
The Claude Agent SDK gives your agent tools, bash access, and a full agentic loop—not just a text response. Here's when to use it over the raw API.
Why You Shouldn't Switch Models Mid-Conversation in AI Coding Agents
Cursor's blog explains why switching models mid-session causes cache misses, out-of-distribution context, and slower turns—and what to do instead.
How to Build an AI Agent with Persistent Memory Using RAG and Vector Search
Learn the multi-layer memory architecture that combines semantic search, file system tools, and backtracking to give Claude agents reliable long-term recall.
How to Use the Claude Agent SDK to Deploy Agentic Workflows to Modal or Trigger.dev
The Claude Agent SDK gives you Claude Code's full tool loop as an API endpoint. Learn how to deploy it to Modal or Trigger.dev for serverless agent execution.
Claude Cloud Routines vs Scheduled Tasks: Which Should You Use?
Claude's cloud routines run on Anthropic's servers 24/7 while scheduled tasks need your machine on. Here's how to choose the right deployment method.
Claude for Small Business: Pre-Built Agents for Finance, HR, Sales, and Ops
Anthropic's small business plugin pack includes 31 skills for payroll, invoicing, and CRM. Here's what's inside and how to set it up in Claude Co-work.
How to Deploy Claude Agents That Run While You Sleep: 3 Methods Compared
Compare slash loops, Claude routines, and Modal deployments for running autonomous Claude agents 24/7 without keeping your computer on.
How to Generate AI Videos with Claude Code, HyperFrames, and ElevenLabs
This open-source workflow uses Claude Code, HyperFrames, and ElevenLabs to generate fully synced AI videos from a single topic prompt in under 15 minutes.
Mega Skills vs Modular Skills in Claude Code: Why Architecture Matters
Building one giant skill for end-to-end workflows kills reusability and quality. Here's the modular skill system pattern that scales across multiple pipelines.
How to Build Modular Claude Skills That Chain Into Skill Systems
Isolated skills and mega-skills both fail at scale. Learn the orchestrator-plus-child-skills pattern that makes Claude OS compound in value over time.
How to Use the Notion Developer Platform with AI Agents: CLI, Webhooks, and SDK
Notion's new developer platform lets AI agents read, write, and trigger workflows in Notion via CLI, webhooks, and an agents SDK. Here's how to connect it.
What Is Progressive Disclosure in AI Agent Design? How Skills Load Context Efficiently
Progressive disclosure means loading only the context a skill needs at each step. Learn why this pattern prevents quality drops in complex Claude workflows.
What Is Agentic RAG? How Multi-Layer Retrieval Beats Standard Vector Search
Agentic RAG uses semantic pre-filtering plus file system tools to retrieve information from complex documents. Here's the architecture and when to use it.
What Is an Orchestrator Skill? How to Wire Claude Skills Into End-to-End Systems
An orchestrator skill is the brain that chains child skills together into a full workflow. Learn the pattern that powers production-grade Claude automations.
Agentic RAG vs Standard RAG: Why AI Agents Need Multi-Layer Retrieval
Standard RAG misses context. Agentic RAG uses semantic search, file system tools, and backtracking to retrieve information from complex documents.
How to Build an AI Agent with Persistent Memory Using Claude and Milvus
Learn how to give Claude agents multi-layered memory using Milvus vector search and file system tools for retrieval from complex PDF documents.
How to Build an AI Video Generation Workflow with HyperFrames and ElevenLabs
Learn how to combine Claude Code, HyperFrames, and ElevenLabs to generate fully automated short-form videos with synced audio and transitions.
How to Build a Tool-Agnostic AI Workflow That Survives the Coding War
Structure your AI projects so you can switch between Claude Code, Codex, Hermes, and OpenClaw in under an hour without losing productivity.
What Is the Implementation Layer? The Six Components That Make AI Agents Enterprise-Grade
Workflow design, data access, authority, evals, audit trails, and recovery—these six components separate toy agents from production-ready systems.
What Is the Agent Context Bundle? How to Stop Your AI Agent from Rediscovering Everything
Agents waste tokens rediscovering context on every run. Learn how to define and pre-assemble the exact data bundle your agent needs to do its job reliably.