🎯 Objective
By the end of this assignment, you will be able to:
Define a useful task that could be handled by an AI agent
Set clear rules for when the agent should act independently and when it should involve a human
Choose a tool or platform to implement your agent (Zapier, Make.com, or VectorShift)
Describe your agent’s workflow using a simple 3–4 step structure
📝 Step-by-Step Instructions
Step 1: Identify a Use Case for an AI Agent
Think of a task in your role or department that involves some decision-making but follows consistent logic.
💡 Examples:
Responding to simple support tickets
Prioritizing incoming requests
Drafting candidate screening summaries
Sorting new leads into CRM pipelines
My agent will help with:
→ __________________________________________
Step 2: Set Guardrails (When to Act, When to Ask)
Decide when your agent can operate alone, and when it should ask for human approval.
Scenario Can the agent act alone? (Yes/No) What should it do if it needs help?
Standard request
Complex or sensitive case
Example:
For password reset emails → ✅ act alone
For billing disputes → ❌ ask support lead to review
Step 3: Outline Your Agent Workflow
Use this 4-step structure to define your workflow:
Trigger – What starts the process?
AI Action – What does the AI analyze or decide?
Decision Logic – If conditions are met, what happens next?
Output – Where does the result go?
My Agent Workflow:
Trigger: _____________________________________
AI Action: ___________________________________
Decision Logic: _______________________________
Output: _____________________________________
Step 4: Choose a Platform
Which platform would you use to build this AI agent?
🔘 Zapier + ChatGPT
🔘 Make.com
🔘 VectorShift
🔘 Not sure yet
Step 5: Optional – Write the AI Prompt
If your agent is using ChatGPT, what would you like it to do?
💡 Example:
“Summarize this support message in 3 bullet points. If it contains a refund request, flag it as high priority.”
My prompt would be:
→ __________________________________________________________
🤔 Reflection (Optional)
What benefits would this agent bring to your team?
What risks or limitations should you monitor?
What would be the first small version (MVP) of this agent you could try?