Build Agents That Work
The difference between a chatbot trick and a reliable system
There is a big difference between asking ChatGPT a question and building an agent that runs a real workflow. Most people never make that jump because nobody shows them how.
A Chatbot Trick
You open ChatGPT. You type “help me write a marketing email.” It writes one. You copy it. You close the tab. Next week you do the same thing again.
That is useful. It is not an agent.
An Agent
An agent has a defined role, a structured workflow, clear constraints, and it runs without you hovering over it. You design the system once. It executes repeatedly. You handle exceptions and approvals. It handles everything else.
The Key Components
- A clear role. What is this agent? A security auditor. A lead researcher. A meal planner. Not “a helpful assistant.”
- Structured input. What information does it need? Where does it get it? What format?
- A defined workflow. Step 1, step 2, step 3. With verification between steps. Not “figure it out.”
- Constraints. What it must not do. What it should never assume. When it should stop and ask.
- Output format. How it reports back. Structured, consistent, actionable.
- Guardrails. Timeouts, approval gates, rollback procedures. Things that prevent the agent from going off the rails.
If your “agent” is just a system prompt that says “you are a helpful marketing assistant,” you have built a chatbot, not an agent. The structure is what makes it reliable.
Start Small
Pick one task you do every week that is repeatable and annoying. Write a structured prompt for it. Run it manually a few times. Refine the prompt until the output is consistently good. Then automate the trigger. That is your first agent.
I will help you build your first real agent on our call. Your workflow, your constraints, your output.