Constraints are rules and limitations you specify in prompts to control output precisely. By setting clear constraints, you guide the model to produce outputs that match your exact requirements for format, length, style, and content.
Types of Constraints
Format constraints specify output structure: "Write in JSON format," "Use bullet points," "Create a table with three columns." These ensure outputs match your technical requirements.
Length constraints control output size: "Write exactly 200 words," "Keep responses under 100 characters," "Provide a one-sentence summary." These are essential when outputs need to fit specific spaces or requirements.
Style constraints define tone and voice: "Write in a professional tone," "Use simple language," "Match the style of a technical manual." These ensure outputs match your brand or audience needs.
Effective Constraint Usage
Be specific with constraints. "Write a short summary" is vague; "Write a 50-word summary in bullet points" is precise. Specific constraints produce more reliable results.
Combine multiple constraints when needed. You can specify format, length, style, and content requirements together. The model will attempt to satisfy all constraints simultaneously.
Test constraints to ensure they're achievable. Some constraint combinations may be incompatible or too restrictive. If outputs don't meet constraints, adjust them or break the task into steps.
Key Takeaways
- • Constraints control format, length, and style
- • Be specific with constraint requirements
- • Combine multiple constraints when needed
- • Test constraints to ensure they're achievable
- • Essential for outputs with specific requirements