37 minutesI Tried AI as a Life Coach for 365 Days - Here's What I Learned
Use AI to challenge assumptions, compare options and surface counterarguments before making decisions.
Jeff Su. Six-part formula — task, context, exemplars, persona, format, tone — explained with office-work examples such as workout plans, resumes, and internal emails. It provides a compact frame that overlaps with several of the article's patterns.
Watch it before the article's patterns if you want a compact frame, then use the article to separate that frame into task-specific patterns and validation habits.
You can assemble task, context, exemplars, persona, format and tone into working prompts for everyday office tasks.
None — watchable cold.
Last reviewed: Aug 11, 2026
Continue through the same learning path with the next curated companion videos.
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Hand-picked external courses that go deeper on this topic.
Dr. Jules White
The academic complement to DeepLearning.AI's short course — same discipline, longer arc, written for people who don't code. Dr. White teaches prompting as a set of reusable patterns (Ask for Input, Outline Expansion, Fact Check List, Menu Actions) rather than tricks. After this you'll prompt LLMs like a designer, not a guesser.
Isa Fulford · Andrew Ng
Ninety minutes to a year's worth of intuition. If you've started writing code that calls an LLM — or you're about to — this is the most efficient course online for closing the gap between "playing with ChatGPT" and "shipping a feature that calls an LLM."
Microsoft Learn
Prompt engineering, but for the tool most office workers will actually touch first. Microsoft's own four-part prompting framework (goal, context, source, expectation) is a genuinely useful mental model, and unlike the generic ChatGPT prompting courses already in our catalog, this one is grounded entirely in Microsoft 365 Copilot's specific quirks and grounding behavior.