AI Operations Fundamentals

// TRACK 01 · FIELD LEVEL

A field-level course for SMB operators putting practical AI to work: how to find the friction worth automating, how to baseline before you touch anything, and how to govern the agents you deploy so they stay assets instead of liabilities.

Finding the Friction: What Actually Deserves Automation

A field method for scanning day-to-day operations and identifying which repeated tasks are genuinely worth automating, and which are noise.

10 min

Measure Before You Automate: Setting a Real Baseline

How to establish a time-and-error baseline for a task before introducing any automation, so you can actually prove the intervention worked.

12 min

Agents as Employees: A Governance Mental Model

A practical framework for treating deployed AI agents like new hires (onboarding, scope, supervision, and a review cadence) instead of black-box scripts.

13 min

Reducing Rework: Catching Errors Before They Compound

Practical checkpoints for catching AI-assisted output errors early, before they propagate into customer-facing work or downstream systems.

9 min

What NOT to Automate: Protecting Judgment and Trust

A closing framework for recognizing the categories of work where automation actively destroys value: relationship judgment, novel decisions, and trust-critical moments.

8 min