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Add Constraints
Constraints define what AI should avoid or stay within. Length limits, vocabulary restrictions, and tone guidelines are all constraints that shape the response.
What Constraints Do
Constraints tell AI what boundaries to stay within.
Common constraints:
- Length: 'Keep it under 100 words'
- Vocabulary: 'Avoid technical jargon'
- Tone: 'Use a friendly, casual tone'
- Scope: 'Focus only on the security risks, not the performance aspects'
- Format: 'Do not use bullet points'
- Content: 'Do not include pricing information'
- Style: 'Match the tone of the existing document'
Constraints prevent AI from going off-topic or producing more (or less) than you need.
Deep Learning ⊂ Machine Learning ⊂ Artificial Intelligence
Constraint Examples
- Length constraint: 'Write a product description in exactly 60 words.'
- Vocabulary constraint: 'Explain this concept without using any programming terms.'
- Tone constraint: 'Keep the response professional but not overly formal.'
- Scope constraint: 'Only address the authentication issue, not the database design.'
- Audience constraint: 'Assume the reader has no technical background.'
- Content constraint: 'Do not recommend any specific tools or products.'
Key Takeaways
- Constraints define boundaries for the AI response
- Length, vocabulary, tone, scope, and content are the most useful constraints
- Constraints prevent AI from going off-topic or producing too much or too little
- You do not need many constraints; add only what is genuinely important
- Conflicting constraints (be brief but cover everything) will confuse AI
Key Takeaways
- Constraints define what AI should avoid or stay within.
- Length constraint: 'Write a product description in exactly 60 words.'
- Vocabulary constraint: 'Explain this concept without using any programming terms.'
- Tone constraint: 'Keep the response professional but not overly formal.'