AI Workflows
AI agents, LLM pipelines, and intelligent automation for production systems.
AI workflows sit at the intersection of language models, agent frameworks, and automation infrastructure. This pillar covers how to build, deploy, and operate AI-powered systems: from single-prompt pipelines to multi-agent orchestrations that plan, execute, and verify autonomously. Guides here explore MCP server integration, Claude Code and Cursor workflows, RAG pipelines, and the governance layer that separates reliable agents from fragile demos. Each article is grounded in practitioner experience and benchmarked data, with clear architectural recommendations for teams moving from prototype to production.
Tool Guide
Tutorial
Building Your First AI Agent: A Step-by-Step Guide
Go from zero to a working AI agent in under 100 lines. Tool-calling, reasoning loops, and MCP integration with practical Python code you can copy, run, and extend.
Fundamentals
Fundamentals
What Are AI Agents and How Do They Work
AI agents plan, execute, and verify tasks autonomously. This guide explains how they work, what separates them from chatbots, and where they fit in your automation stack.
Standalone
Why we built the index the agent ecosystem was missing
The Automation Switch Skills Hub: What We're Building and Why
The Automation Switch Skills Hub is a curated directory of 46 production AI agent skills across nine categories. Here is what we are building, why we built the internal index, and what to expect as the hub grows.
Tool Guide
12,000+ servers across directories, registries, and indexes.
Where to Find MCP Servers in 2026: Every Directory, Registry, and Index
The navigation guide to MCP server discovery across 12,000+ servers. Compare PulseMCP, Smithery, Glama, MCP.so, the official registry, and every major index to find the right one for your workflow.
Deep Dive
How to Build Your First MCP Server (Python, Under 100 Lines)
Most MCP tutorials are either too abstract or too long. Here is a working MCP server in Python in under 100 lines, exposing real tools, testable with Claude Code.
Deep Dive
Notion Component Library Sync Demo
A live sync demo showing how a strict Notion component grammar maps into Sanity schema blocks and renders with parity on Automation Switch.
Deep Dive
SKILL.md Files: The Agent Skills Directory
SKILL.md files are the configuration layer for AI agent behavior. How they work, how to write them, and the emerging directory of community-built skills.
Tool Guide
How SDRs Are Cutting Research Time in Half With PrecisionReach
Manual outreach research eats 45 minutes per email. PrecisionReach runs a full research-to-email pipeline in one go — industry mapping, org hierarchy, customer profiles, and five cold emails ready to send.