Make: What Is an Agentic Loop? And How to Build One in 2026
What it is
Make explains the loop that separates an AI agent from a chatbot: perceive, reason, act, observe, then repeat until the task is done. It gives founders a simple mental model for designing automations that keep working instead of stopping after one prompt.
Why we picked it
Excellent bridge from chat prompting to true workflow design; strong fit for teaching "AI as an operator, not an answer machine."
How you might use it
Operations work is often invisible until something breaks. This fits the Run Smoother Operations workflow, which is about fixing the processes you run more than once a week. Pick one of those processes and test it there first.
Visit the resource
Go to make.comOpens the official site in a new tab.
More from M5: Operations Automation
Microsoft 12-Lesson AI Agents Course (Free, GitHub)
Free 12-lesson curriculum from Microsoft covering the fundamentals of building AI agents, from tool-calling and multi-ag...
IonRouter: High-Throughput, Low-Cost AI Inference Router (YC W26)
YC-backed inference routing platform that automatically selects the cheapest/fastest AI model for each request across pr...
Model Context Protocol (MCP): The Missing Standard for AI Agents
MCP (launched by Anthropic, Nov 2024, now widely adopted in 2026) is an open standard that lets AI agents connect to any...
Composio Agent Orchestrator: Open-Source Multi-Agent Tool Management
Open-sourced in late Feb 2026. Composio's Agent Orchestrator solves a critical problem: when AI agents have too many too...
The guided path
Want the guided path? The playbook shows you what to build first, step by step.
Seven workflows. The best tools from this library, arranged into a sequence that gets your first automation running in your first session.
