Conciseness makes communication efficient by including every instruction the AI needs while removing wording that adds confusion or repetition. It does not mean making a prompt as short as possible; it means making it the right length for the task. section 4.3.1
Use exact language and keep the request focused. Conciseness works alongside clarity, relevance, and specificity: a short prompt can still fail when it does not explain the task or its purpose. section 4.3 section 5.1.1
Removing unnecessary wording
Wordy prompt: “Take a look at the list of IT support tickets we have and go through each one of them to decide whether they should be classified under the category of High Priority, Medium Priority, or Low Priority based on their urgency and importance.” Concise prompt: “Sort these IT support tickets into High, Medium, and Low Priority.” The shorter version preserves the required action and categories. section 4.3.1
Conciseness is not enough
“Tell me about project management” is readable and brief, but it can produce a broad, rambling response. Adding the user’s role, project size, and excluded concerns makes the request more relevant and specific without unnecessary detail. section 5.1.1
Before sending a prompt, remove repeated phrases, preserve essential constraints, and check whether the AI knows what the response will be used for. Model differences may also affect how well a concise prompt performs. section 4.3 section 5.1.1
