After this lesson, you will be able to: Understand the agent loop, observe, think, act, and why no-code platforms are a practical entry point for real agents.
Before installing anything, you need a working mental model of how an AI agent thinks. This intro lesson explains the loop, walks through tool calling and memory in plain English, and previews the four no-code platforms you'll use across this sub-track.
This is a free introductory lesson. No purchase required.
Every agent runs the same three-step loop. Observe, read the user input or environment. Think, the LLM decides what to do (answer directly, or call a tool). Act, execute the chosen action and feed the result back into the loop. The loop stops when the goal is met.
Short-term memory, what the agent remembers in this conversation (the chat history). Long-term memory, facts the agent stores across sessions (a database, a vector store, a Google Sheet). No-code platforms ship with both kinds; you choose where to store them.
n8n, most powerful no-code platform, self-hostable, AI Agent node built in. We use it most.
Zapier, lightweight, huge integration library, AI steps for quick automation.
Make.com, scenario-based, great for conditional logic and branching flows.
Voiceflow, purpose-built for chat and voice agents with a conversation canvas.