🧠

Case Studies: Four Complete Worked Examples

Theory becomes skill when you watch it applied end to end.

AI Foundations · Beginner · 14 min read · 4 quiz questions

By Ronan Liedmeier, fractional head of growth and course author · Reviewed 13 October 2026

What you will learn

  • Case Study 1: The solo consultant's tax weekend that became a Tuesday morning
  • Case Study 2: The agency's one-idea content engine
  • Case Study 3: The ops manager's inbox and meeting machine
  • Case Study 4: The e-commerce founder's ad operation

Lesson preview

Four realistic scenarios — a consultant's tax weekend, an agency's content engine, an ops manager's inbox machine, and a founder's ad operation — show the same underlying shape every time: set up once, run a cheap repeatable rhythm, apply targeted human checkpoints, and systemize what works. Verification isn't overhead in these stories, it's exactly what makes the speed safe. Sarah, a freelance UX consultant in the Netherlands, faced quarterly VAT filing with 214 receipts spread across Gmail, Downloads, and phone photos — previously a full resentful weekend of manual sorting. Her new process: collect everything into one AI-Workspace folder (10 min); run an agent session in Claude Code that extracts vendor, date, amount, and VAT from every file, renames files, builds a categorized spreadsheet with a needs-review tab, and shows its plan first (25 min, mostly unattended); review the needs-review tab and spot-check 15 random rows (20 min); create an accountant-formatted summary tab (5 min); and systemize the whole process into a reusable Skill called quarterly-receipts (5 min). Outcome: about 65 minutes of her time, 20 of which was genuine review, with cleaner input than before for her accountant. What could have gone wrong — the agent misreading a European-format amount, or a personal receipt slipping through — was caught precisely because spot-checking and category review existed. The pipeline is fast because the human checkpoints are cheap and targeted, not because they're skipped.

Continue reading

Frequently asked questions

Who is "Case Studies: Four Complete Worked Examples" for?
This Beginner module in AI Foundations is for people who are new to AI tools and want practical, everyday results without jargon. It takes about 14 minutes and ends with a 4-question quiz.
Do I need to code?
No. Everything in this module works in tools like ChatGPT, Claude or Gemini through a normal chat window.
What comes before and after this module?
Before "Case Studies: Four Complete Worked Examples", take "Building Your AI Operating System" (module 12 of AI Foundations). Afterwards, continue with "Capstone: Build and Document Your AI Operating System".

Unlock this lesson and the full academy

  • Monthly€9.99 / month
  • Yearly€69.99 / year
  • Lifetime€129.99 one time
See plansStart with the free lessons

Loading your lesson…

Related modules