Welcome to the Agent Cookbook
You've probably heard the buzz — AI agents, large language models, autonomous workflows. But what does any of it actually mean, and more importantly, what can it do for you?
This cookbook is your guided tour. Whether you're completely new to AI or you've been tinkering for a while, we'll take you from the very basics all the way to building real autonomous agents that do useful work.
What you'll find here
Who this is for
No coding experience required for most of this cookbook. Concepts and Recipes are written for anyone. The Tools section goes deeper for those who want to build.
This cookbook is for three types of people:
- The curious newcomer — you've heard about AI and want to actually understand it, not just the hype. Start with History and Concepts to build a solid mental model before diving in.
- The business operator — you want to save your team hours every week by putting agents to work. Head straight to Recipes for step-by-step playbooks you can run today without writing any code.
- The builder — you're ready to ship something and need to pick the right stack. The Tools section breaks down every major platform, when to use each, and how they fit together.
Not sure which one you are? Start with Quick Start — it takes less than 10 minutes and shows you concretely what agents can do.
What is an AI agent, exactly?
An AI agent is a program that uses a language model as its "brain" and connects it to tools — so instead of just answering questions, it can take action.
A plain chatbot responds. An agent acts.
Here's the difference in practice:
| Chatbot | Agent |
|---|---|
| "Here's how you could draft that email." | Drafts the email and sends it. |
| "Here's a summary of that document." | Reads the document, summarizes it, and files it in the right folder. |
| "Here are some leads that might fit your criteria." | Searches the web, scores each lead, and adds them to your CRM. |
The underlying model is the same — what changes is whether you've connected it to tools and given it the ability to act on your behalf.
How to think about agents
Think of an AI agent like a new team member who never sleeps, never forgets, and can work across dozens of tools at once — but needs clear instructions. This cookbook teaches you how to give those instructions well, and which tools to put in their hands.
A few principles that will serve you throughout:
Clarity beats cleverness. The more specific your instructions, the better the output. Vague prompts produce vague results — good briefs produce good work.
Start narrow, then expand. Don't try to automate your entire business in one go. Pick one well-defined task, get it working reliably, then build from there.
Agents work best with structure. Give them a defined input, a clear goal, and a known output format. The more ambiguous any of those are, the more likely you'll need to iterate.
Oversight matters early on. Modern agents are impressively capable, but they're not infallible. Build in review steps for anything consequential until you've established trust in a workflow.
A note on how to read this
This cookbook is organized so you can jump around based on what you need. But if you're new to this space, the recommended order is:
- Quick Start — get hands-on immediately
- History — understand how we got here
- Concepts — learn the building blocks
- Recipes — apply it to your real work
- Tools — go deeper when you're ready to build
Let's start cooking.