#08 Prompting Technique

Binary Prompts

Get clear yes/no answers for fast decision-making.

Overview

What It Is

Binary prompts ask AI to make a simple yes/no or true/false determination. Instead of asking for analysis or recommendations, you request a straightforward binary answer based on specific criteria.

These prompts work best for quick filtering, validation, or qualification decisions. Binary prompts are especially powerful for processing large volumes of items, qualifying leads, filtering content, or making rapid go/no-go decisions based on established standards.

The Mechanics

Why It Works

Binary prompts work because they constrain AI's output space to just two options, eliminating ambiguity and forcing clear classification. When AI must choose between only two patterns, it focuses entirely on classification rather than generation.

The binary format also enables easy batch processing — you can validate hundreds of items by applying the same criteria repeatedly, creating systematic decision pipelines that would take hours to do manually.

Decision Guide

When To Use It

Use When
  • Qualifying leads or opportunities
  • Content filtering and moderation
  • Compliance and policy checks
  • Quality control validation
  • Categorization and sorting tasks
Skip When
  • Situations requiring nuanced judgment
  • When you need explanation or reasoning
  • Exploratory analysis without clear criteria
  • Complex multi-factor decisions
  • When 'maybe' or 'it depends' is a valid answer
Copy & Paste

Ready-to-Use Templates

T01 Qualification Check Determining if something meets specific criteria
Does this [item] meet the following requirements? Requirements: - [Criterion 1] - [Criterion 2] - [Criterion 3] [Provide item details] Answer with only: YES or NO
Example

"Does this lead meet our qualification criteria? Requirements: Budget over $10K, Decision-maker involved, Need identified, Timeline under 90 days. Lead details: [contact info, conversation notes]. Answer with only: YES or NO"

T02 Policy Compliance Checking adherence to rules or standards
Policy: [State the policy or rule] Prohibited: [What's not allowed] [Provide content to evaluate] Does this comply with the policy? Answer with only: YES or NO
Example

"Policy: All marketing emails must include unsubscribe link, physical address, and company name. Prohibited: Misleading subject lines, purchased email lists. Email draft: [content]. Does this comply? Answer with only: YES or NO"

T03 Threshold Evaluation Determining if something meets a standard
Threshold: [Specify the minimum or maximum standard] [Provide data to evaluate] Does this meet/exceed the threshold? Answer with only: YES or NO
Example

"Threshold: Customer satisfaction score must be 4.0 or higher to qualify for a case study. Current score: 4.2 from 15 reviews. Does this meet the threshold? Answer with only: YES or NO"

T04 Matching Determination Checking if two things align or correspond
Item A: [First thing to compare] Item B: [Second thing to compare] Matching criteria: [What makes them a match] Do these match according to the criteria? Answer with only: YES or NO
Example

"Item A: Job requirements — Python, AWS, 5 years experience. Item B: Candidate skills — Python, Azure, 6 years experience. Matching criteria: Must have all required skills. Do these match? Answer with only: YES or NO"

T05 Consistency Check Verifying internal consistency or logical coherence
Statement/Data: [Provide content to evaluate] Check for: [What type of consistency to verify] Is this internally consistent? Answer with only: YES or NO
Example

"Statement: We offer 24/7 support with same-day response times, staffed by our 3-person team working 9-5 EST. Check for: Logical consistency. Is this internally consistent? Answer with only: YES or NO"

Pro Tips

  • Be explicit about the output: End with 'Answer with only: YES or NO' to prevent AI from adding explanations you don't need.
  • Make criteria objective: Subjective criteria like 'high quality' lead to inconsistent answers. Specify measurable standards.
  • Test your criteria: Try edge cases before batch processing to ensure your criteria capture what you actually want.
  • Batch process for efficiency: Apply the same binary prompt to multiple items systematically to scale decision-making.
  • Follow up selectively: Use binary prompts to filter, then apply detailed prompts only to the items that need deeper analysis.

Understanding the Fundamentals

These techniques work because of how AI actually processes language. Our Making AI Make Sense series breaks down exactly why — making techniques like this intuitive instead of mysterious. 34 videos, free on YouTube.

Watch on YouTube →

Need Help Applying AI to Your Business?

Templates teach the technique. We help you figure out where it actually fits in your work.

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