Course track

AI Agents and Human-in-the-Loop Automation

A current AI automation track grounded in real workflow design rather than hype. It covers agentic tools, structured outputs, knowledge retrieval, confidence thresholds, human approvals, evaluation, and where AI belongs or does not belong in production automations.

Lessons14
Live now14
Draft queue0

This track page is intentionally kept out of the index until more of the public lessons are live. That keeps the curriculum navigable for humans without asking search engines to rank thin track pages before the lesson bodies exist.

Track lessons

Live lessons link out directly. Draft lessons are already scaffolded in the repo so the track can be written in order without changing slugs or metadata later.

  1. Lesson 1Live
    AI Workflow Automation Explained
  2. Lesson 2Live
    AI Agents vs Rules-Based Automation
  3. Lesson 3Live
    Where AI Fits in Workflow Automation
  4. Lesson 4Live
    How to Design AI-Human Handoffs in Business Workflows
  5. Lesson 5Live
    Prompt Design for Automation Builders
  6. Lesson 6Live
    Structured Outputs for AI Automations
  7. Lesson 7Live
    Retrieval and Knowledge Base Design for AI Automations
  8. Lesson 8Live
    AI Summarization vs Extraction vs Classification Workflows
  9. Lesson 9Live
    AI Approvals and Confidence Thresholds
  10. Lesson 10Live
    How to Evaluate AI Automation Quality
  11. Lesson 11Live
    Zapier Agents vs n8n AI Agents vs Copilot Studio
  12. Lesson 12Live
    Common AI Automation Failure Modes
  13. Lesson 13Live
    Best AI Automations to Start With
  14. Lesson 14Live
    When Not to Use AI in a Workflow

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