Complex Tasks and Reasoning
When Simpler Instructions Are Better
Recognize that longer prompts are not automatically better and modern models may respond better to direct, precise instructions.
In this lesson
Why this matters
Complexity is not the goal. Start with the simplest prompt that defines success, then add context, examples, or structure only when tests reveal a need. Some modern reasoning models can over-analyze verbose instructions.
How to apply it
- Define the task and desired outcome.
- Add only context or rules that affect success.
- Specify an output form or checkable criterion when needed.
- Test on realistic input and revise when a failure pattern appears.
Practical example
Weak example:
Weak version of the same task: استخدم عشر مراحل وخمس شخصيات لتلخيص جملة.The weak version leaves an important part of the task or its boundaries to guesswork. The improved version adds information tied directly to success without treating length or complexity as a goal.
Improved example:
Improved version: لخّص الفقرة في جملة لا تتجاوز 25 كلمة مع الحفاظ على الفكرة الرئيسية.Short practice
Apply the lesson concept to this task: اختصر Prompt طويلًا ثم اختبر النسختين على نفس الحالات.
Check your understanding
Check: متى تكون التعليمات البسيطة أفضل؟
Answer: عندما تحقق المهمة بثبات ولا يحل التعقيد مشكلة مثبتة.
Summary
Keep this concept as one tool rather than a magic formula. Tie it to the goal and success criteria, then build on it in the next lesson.