AI for Developers and Builders
A practical sequence for developers, analysts, and workflow implementers.
Open learning path: AI for Developers and BuildersTopic
Prompting
This topic appears in 13 published training items.
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Practical AI at Work
Hands-on habits for choosing AI-fit work, prompting, review, and workflow support in everyday professional work.
Open course: Practical AI at WorkLessons - 4
Deciding Where AI Fits
Learn a practical fit test for deciding when AI should draft, summarize, compare, structure, or stay out of the workflow.
Open lesson: Deciding Where AI FitsGrounding and Context
Learn how source material, context windows, and review habits reduce unsupported AI output.
Open lesson: Grounding and ContextPrompt Iteration and Safe Review Habits
Learn how to test prompts as drafts, diagnose failures, improve them with a simple loop, and keep human review in place.
Open lesson: Prompt Iteration and Safe Review HabitsPrompt Structure That Survives Real Work
Learn a practical prompting pattern that improves clarity without pretending prompts solve everything.
Open lesson: Prompt Structure That Survives Real WorkResources - 4
Grounding Checklist
A compact worksheet for tying AI output to source material before you rely on it.
Open resource: Grounding ChecklistPrompt Review Checklist
A compact worksheet for checking prompt quality, output reliability, and safe use before acting.
Open resource: Prompt Review ChecklistPrompting Template
A reusable worksheet for drafting, planning, summarizing, and synthesis prompts.
Open resource: Prompting TemplateUse-Case Fit Worksheet
A worksheet for deciding whether a workplace task is a strong, partial, or weak fit for AI assistance.
Open resource: Use-Case Fit WorksheetGlossary entries - 3
Grounding
Supplying a model with relevant source material so its answer is tied to the right context.
Open glossary: GroundingPrompt
The instruction, context, source material, and output request given to an AI model.
Open glossary: PromptRetrieval
Finding relevant material at request time and placing it into the model's working context.
Open glossary: Retrieval