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then check names, organizations, numbers, and text direction. Chapter Three provides a
detailed comparison of tools and their support for Arabic.
TABLE 1-6: USEFUL CAPABILITIES AND THE CONDITIONS FOR BENEFITING FROM THEM
Capability When is it strong? Condition for good use
Summarization and When the source is clear and the Compare claims and figures with the
organization request is specific. source.
Extraction and When fields or categories are
Test edge cases and rare categories.
classification defined through examples.
When the user can evaluate both Treat the output as a first draft, not
Draft production
form and substance. an approved text.
When consistent criteria and Keep opinion separate from fact and
Initial comparison
balanced material are provided. document the differences.
Alternative When many alternatives are Use human selection and remove
generation needed quickly. unrealistic or repetitive options.
When converting text into a Specify what must be preserved and
Format conversion
table, explanation, or list. what may change.
▣ Practical example: Preparing a meeting brief
Context: You have a 30-page performance report.
Task: Extract five trends and three questions that support a decision.
Method: Ask the system to link each point to the relevant page or table.
Why this task fits: It transforms and organizes existing information rather than inventing it.
Verification: An employee checks the figures and their source links before sending the
brief.
? Question to consider: What is the real value?
Does the system save time only, or does it also improve the quality of thinking? The
answer may differ by task: summarization may save time, while comparing scenarios may
broaden the range of ideas considered.
● Remember: Section summary
• Key idea: AI is strongest when it transforms material that already exists and the reader
can compare the output with the source.
• Practical decision: Start with tasks whose output you can check quickly, and state what
must be preserved and what may change.
• Mistake to avoid: Judging value by how good the text looks instead of by the time saved
after review and correction.
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