Module 9: ChatGPT Integrations and Workflows - Wrap-up
Reviewing the power of connected AI, from API basics to automated workflows and security.
Module 9 Wrap-up: The Automated Professional
You've now moved beyond natural language and natural interfaces. You are building systems that use AI as a core component.
What We Covered
- Lesson 1: The basics of Request/Response via the OpenAI API.
- Lesson 2: Bringing AI to Notion, Slack, and Google Workspace.
- Lesson 3: Using Zapier and Make to build no-code automations.
- Lesson 4: Optimizing workflows with batching and "Human-in-the-loop."
- Lesson 5: Staying secure with API keys and data scrubbing.
Key Vocabulary
| Term | Definition |
|---|---|
| API | Application Programming Interface. |
| Zap | A single automated workflow in Zapier. |
| PII | Personally Identifiable Information (don't share this!). |
| HITL | Human-In-The-Loop. |
Quick Quiz
- Is data sent via the API used to train OpenAI's models?
- What is the difference between a "Trigger" and an "Action"?
- How can you prevent an automation from spending too much money?
What's Next?
Automation provides the scale, but Quality provides the value. In Module 10: Evaluating and Improving Outputs, we'll learn how to tell if an AI is actually doing a good job. We'll look at reducing hallucinations, bias detection, and the science of "Iterative Refinement" for high-stakes results.