AI Automation · Free

AI Automation Basics

Spot repetitive tasks and design simple AI-assisted workflows.

1. Lesson 1 · 10 min

   Finding tasks worth automating

   Learn

   Good candidates are frequent, repetitive and rule-based: sorting emails, summarising forms, drafting routine replies.

   Write the task as steps: trigger → input → what AI does → output → where it goes.

   Practise This

   Map one repetitive task in your week as trigger, input, AI step, output and destination.

   Build With What You Learned

   Estimate how much time automating that task could save each month.

2. Lesson 2 · 10 min

   How automation tools connect

   Learn

   Automation platforms such as Zapier, Make or n8n are external products that connect apps and can add AI steps between them.

   Start small: one trigger, one AI step, one action. Keep a human review step until you trust the result.

   Practise This

   Sketch (on paper or in a doc) a three-step workflow for the task you mapped.

   Build With What You Learned

   Decide which step must always have human review and why.

3. Lesson 3 · 8 min

   An introduction to AI agents

   Learn

   AI agents are tools that can plan steps and use other tools to complete a goal. They are powerful but can make mistakes across many steps.

   Give agents narrow goals, clear limits and checkpoints where you approve the next action.

   Practise This

   Write a clear goal, limits and approval checkpoints for a small task you might give an agent.

   Build With What You Learned

   List what an agent should never be allowed to do without your approval.