KNOWLEDGE NOTES

Knowledge Notes

Explore curated knowledge, course notes and methods, with their existing content and sources preserved.

This index lists complete English editions. Additional Chinese notes and bilingual updates remain available in the Chinese index.

350knowledge notes
AI Engineering / AI Products and Assisted Design

Google Prompting Essentials Course Highlights (Prompt Framework / 4 Iteration Methods / Prompt Chaining / High-Frequency Scenario Playbooks)

A self-contained bilingual highlight of Google’s official Prompting Essentials course. The core is the 5-element prompt framework TCREI (Task / Context / References / Evaluate / Iterate, with the mnemonic Thoughtfully Create Really Excellent Inputs), which frames writing prompts as equivalent to writing a clear brief for a new hire. It covers: 4 iterative fix methods (return to the framework / split long prompts / switch to a similar task / add constraints) and chain-of-density summarization; prompt chaining, which uses the previous step’s output as the next step’s input, distinguished from simple iteration, including chain-of-thought / tree-of-thought variants; reusable prompt skeletons for 6 high-frequency office scenarios (brainstorming / table trackers / meeting notes / data visualization / text-to-image / presentation speaker notes), plus email writing / summarization / tone and style / multimodal prompts / meta-prompts / decoding formulas and jargon; and a human-in-the-loop checklist for responsible AI use (preventing hallucinations / preventing bias / protecting data). It complements [[newtype-prompt-engineering]]: while Lao Huang’s piece takes the contrarian stance that “prompt engineering doesn’t need to be studied” and covers product-grade prompt orchestration, this article provides Google’s official standardized framework and scenario templates, suitable for non-technical PMs to use immediately as a starting point.

PromptsPrompt chainingAI ApplicationsEnglish edition