Automations & Agents

How AI Agents Differ from Traditional Automations
Explore how AI agents use LLMs to think, adapt, and make decisions such as an agent that reviews incoming customer messages, understands the intent, and decides whether to respond, escalate or create a support ticket.

Understanding Basic Automations (Rule-Based Workflows)
Review how tools like n8n can automate repetitive tasks without A.I.for example, automatically moving new CRM leads into a spreadsheet and sending a welcome email every time a form is submitted.

Combining Automations with A.I. for Smarter Workflows
Learn how simple workflows can trigger A.I. actions for instance, an automation that collects sales data daily, then an A.I. agent analyzes trends and writes a short performance summary for management.

Why Knowing the Difference Saves Time & Improves Results
Through real examples, students see when basic automation is enough (like scheduling reports) versus when an AI agent adds value (like handling unpredictable customer questions), helping teams design faster, more efficient processes.