Prompt Efficiency Score

What Makes a Good AI Prompt?

A well-crafted prompt is the foundation of great AI interactions. The best prompts are clear, specific, contextual, and structured. They tell the AI exactly what you want, provide necessary context, specify the output format, and often include examples. A good prompt dramatically improves the quality of AI responses, reduces the need for follow-up clarifications, and saves you time.

The 8 Dimensions of Prompt Efficiency

This analyzer evaluates your prompts across eight critical dimensions:

• Clarity (15%): Is the prompt easy to understand? No ambiguity or confusing language
• Specificity (15%): Does it specify exactly what you want? Details matter
• Context (12%): Does it provide background information the AI needs?
• Structure (12%): Is it well-organized with clear sections or steps?
• Constraints (10%): Does it set boundaries (length, format, style)?
• Actionability (10%): Can the AI actually do what you're asking?
• Examples (8%): Does it include examples of desired output?
• Conciseness (8%): Is it efficient without unnecessary words?

Common Prompt Mistakes

Avoid these common pitfalls that reduce prompt effectiveness:

• Being too vague: "Tell me about marketing" vs "Explain 3 B2B marketing strategies for SaaS startups"
• No context: Not telling the AI your role, audience, or goal
• Asking too much at once: Breaking complex tasks into smaller steps works better
• No output format: Not specifying whether you want a list, essay, code, etc.
• Assuming knowledge: The AI doesn't know what you haven't told it
• Being too wordy: Long, rambling prompts can confuse the AI

Prompt Engineering Frameworks

Popular frameworks for writing better prompts:

• CRISPE: Capacity, Role, Insight, Statement, Personality, Experiment
• RTF: Role, Task, Format
• CARE: Context, Action, Result, Examples
• BROKE: Background, Role, Objectives, Key results, Evolve
• Chain of Thought: Ask the AI to think step by step before answering
• Few-Shot Prompting: Provide 2-3 examples of the desired output

How This Analyzer Works

This analyzer uses heuristic analysis to evaluate your prompt across the 8 dimensions. It checks for things like sentence length, presence of specific keywords, structural elements (lists, numbers, headers), context indicators, constraint keywords, and more. While it can't replace human judgment, it gives you a quantitative baseline and specific suggestions for improvement.