Compare the outputs of 3 different web-based prompting tools on the same task.
🎯 Objective
Apply the knowledge from this lesson to:
Identify a real-life task in your work area that could benefit from AI automation.
Evaluate whether it is suitable for automation.
Propose a simple solution using a no-code or low-code AI tool.
📝 Step-by-Step Instructions
1. Choose a Work Area
Select a department or function you are familiar with:
Marketing
Sales
Human Resources
Customer Support
Finance / Administration
Project Management
2. Describe a Repetitive Task
Think of a task that occurs frequently in that area, such as:
Answering recurring customer questions
Sending weekly reports
Screening incoming resumes
Summarizing tickets or meetings
Scoring and categorizing leads
Example:
“In customer support, we receive about 20 emails per day with similar questions. Currently, a person responds manually to each one.”
3. Evaluate if the Task is Automatable
Use this quick checklist to assess feasibility:
Criteria
Is it repetitive? Does it Apply? (Yes/No)
Does it follow clear rules?
Does it use structured or semi-structured data?
Does it require minimal human judgment?
✅ If you answer "Yes" to 3 or more, the task is likely a good candidate for AI automation.
4. Choose a Tool to Automate It
Select an automation tool based on what you learned in the lesson. Some common options include:
Zapier + OpenAI
Make.com
Power Automate + AI Builder
ChatGPT (with prompt templates)
Tidio / Drift (for chat automation)
Notion AI (for summaries and internal documentation)
Example:
“I would use Zapier + OpenAI to automatically generate and send email replies based on common customer questions stored in Notion.”
5. Describe Your Automation in 3 Steps
Example format:
Trigger – A new customer email is received.
AI Action – Use OpenAI to generate a response using pre-defined logic.
Output – Send reply automatically and log it into the CRM.