20:17Tina Huang
Tina compresses Google's full prompting course into the two things a library actually stores: a five-part task/context/references/evaluate/iterate framework, and four named iteration moves to tighten a prompt over time. She also walks through agent and chain-of-thought patterns, so the same video doubles as the entry point for the more advanced templates you'll add to the library later.
What you should get from this: Turn one-off prompts into reusable patterns with evaluation notes and iteration rules.
Watch or know first: Comfortable prompting on your own; this is about turning that into shared assets.
AI Expert note: Watch it here for what a library-grade entry should store — the five framework fields plus named iteration moves — rather than as another prompting course.
