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Chapter Objectives
Understand prompting and prompt engineering as a process of design and testing, not
merely elegant wording.
Distinguish among asking, instructing, and staged collaboration, and choose the level that
matches the clarity and complexity of the task.
Build a professional prompt that defines the task, context, source material, audience,
format, tone, constraints, and success criteria.
Use the PACFT framework, a teaching aid prepared by the author, as a quick recall tool,
while knowing its limits.
Use examples, follow-up prompts, structured evaluation, and the discipline of changing one
factor at a time.
Understand how generation settings such as temperature affect variation, and why
variation is not the same as knowledge.
Understand the difference between prompting general models and prompting reasoning
models, and avoid treating the length of an explanation as evidence that it is correct.
Use structured outputs and schema validation when a task requires a strict structure.
Reduce sycophancy, and treat confidence statements and self-critique with appropriate
caution.
Handle images, files, Arabic-language work, long documents, and large context in a practical
way.
Recognize when the problem is not the prompt, and when the source, model, tool, or
workflow should change instead.
Build a small library of tested templates, with versions and evaluation cases, rather than
collecting prompts copied from the internet.
FIGURE 2-1: FROM AN IDEA TO A TESTED PROMPT
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