Free AI Evaluation for Your AI Prompts Engineering Skills

In today’s digital landscape, mastering the art of prompt engineering can significantly enhance your communication, marketing strategies, and overall effectiveness across various platforms. As a professional, you understand the importance of clear, engaging, and relevant content that resonates with your audience. With Nikolay Gul‘s innovative approach to AI prompt crafting, you can achieve just that—while ensuring security and privacy without third-party logins.

Unlocking the Power of Effective AI Prompts Engineering Skills

Nikolay Gul‘s method stands out for its user-friendly design, prioritizing security and personalization. The beauty of this approach lies in its simplicity, allowing you to customize prompts to fit your specific needs while safeguarding your data.

Why Focus on AI Prompt Engineering?

1. Clarity and Engagement: Well-crafted prompts lead to clearer AI responses, improving engagement with your content.
2. Relevance: Tailoring prompts to specific audiences ensures that your content hits home.
3. Actionability: Prompts that include concrete calls to action help drive your audience toward desired outcomes.

 

Review of the “AI Prompt Engineering Skills Evaluation” Idea

Uniqueness & Methodology

The idea of assessing AI prompt engineering skills within a user’s own ChatGPT account, using historical prompts and chats, stands out for its emphasis on privacy and customization. This private evaluation system is innovative because it doesn’t rely on third-party tools or data sharing, which distinguishes it from traditional external platforms such as PromptBase or Cohere. The 25+ criteria for evaluation offer a comprehensive approach that covers a wide range of skills like creativity, clarity, optimization, and problem-solving.

Master Prompts & Custom Instructions

The system’s Master Prompt is highly original. Its ability to evaluate users across a detailed framework of criteria directly within their own ChatGPT environment is a key strength. Custom Instructions guide users through the evaluation and tailor feedback, which increases the depth of analysis. The granular nature of feedback, such as suggestions for improving creativity or optimization, enhances its learning potential and aligns it with real-world applications.

Comparison to Existing Methods

Current methods for evaluating AI prompt skills, such as those used by external tools like PromptBase or GPT-4-powered evaluation systems, often require sharing data or connecting to external platforms. In contrast, Nikolay‘s method uses a privacy-first approach, leveraging existing chat histories within a user’s account. This makes it both secure and accessible. Traditional methods lack the ability to offer tailored feedback based on individual chat data stored privately in a user’s own account. Additionally, this system provides free usage, while some external platforms charge for evaluations.

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Copy and Paste in to Your new ChatGPT Chat:

Master Prompt for AI Prompt Engineering Skills Evaluation

Objective: Evaluate all AI prompt engineering skills based on the user’s chat history and prompt usage within this ChatGPT account. Provide detailed feedback and recommendations to help improve the user’s prompt crafting abilities tailored for LinkedIn, blog posts, SEO, and marketing strategies.

Instructions: Analyze all relevant chats and prompts within this user account. Focus on evaluating AI prompt engineering skills using the defined criteria, grouped by importance and relevance to the most popular industries on LinkedIn. Assess creativity, clarity, optimization, and other key parameters. Structure the evaluation with detailed feedback, examples of areas for improvement, and personalized recommendations.

Evaluation Criteria and Method

1. Creativity and Innovation
   • Details: Assess originality and how the user’s prompts stand out with unique ideas.
   • Example of Improvement: Highlight snippets from prompts needing more creativity and suggest inventive angles.
   • Recommendation: Use unexpected metaphors or novel scenarios to add depth.
2. Clarity
   • Details: Evaluate how clearly the prompts convey ideas.
   • Example of Improvement: Show examples of overly complex or ambiguous language.
   • Recommendation: Simplify instructions and avoid unnecessary jargon.
3. Optimization
   • Details: Review how well prompts guide AI responses efficiently.
   • Example of Improvement: Identify verbose prompts and recommend concise alternatives.
   • Recommendation: Focus on essential language that drives clear, effective responses.
4. Relevance
   • Details: Ensure prompts align with intended goals without deviating into irrelevant areas.
   • Example of Improvement: Show where prompts lost focus.
   • Recommendation: Keep questions targeted to the primary objective.
5. Specificity
   • Details: Check for detailed guidance within prompts.
   • Example of Improvement: Highlight vague prompts and suggest adding specific examples.
   • Recommendation: Include clear instructions or scenarios to direct AI responses.
6. Grammar and Syntax
   • Details: Evaluate correctness and clarity of language used in prompts.
   • Example of Improvement: Highlight errors or awkward phrasing.
   • Recommendation: Refine sentence structure for easier comprehension.
7. Adaptability
   • Details: Assess prompt flexibility for various contexts and audiences.
   • Example of Improvement: Show prompts that lack context adjustments.
   • Recommendation: Modify tone and language to suit different industries or audiences.
8. Strategic Questioning
   • Details: Check for insightful, thought-provoking questions within prompts.
   • Example of Improvement: Identify missed opportunities for deeper exploration.
   • Recommendation: Use probing questions to extract comprehensive AI responses.
9. Tone and Style Appropriateness
   • Details: Evaluate if the tone matches the context and audience needs.
   • Example of Improvement: Show where tone adjustments could enhance engagement.
   • Recommendation: Align tone with professional or casual settings as needed.
10. Overall Effectiveness
    • Details: Measure how well prompts achieve desired outcomes.
    • Example of Improvement: Highlight prompts that didn’t meet objectives.
    • Recommendation: Focus on crafting prompts that directly lead to valuable AI outputs.

Execution Instructions

1. Review all relevant chats and prompts within this account.
2. Evaluate the 5-10 most applicable criteria based on the type of content (e.g., LinkedIn posts, blog articles, SEO writing).
3. Provide scores for each criterion, with examples of strengths and areas needing improvement.
4. Offer customized tips and actionable recommendations for enhancing each skill.
5. Summarize the evaluation in a comprehensive table and detailed feedback.

Scoring System:

• Beginner: 1-250 points
• Intermediate: 251-750 points
• Advanced: 751-1500 points
• Expert-GURU: 1501-2500 points

If character limits are reached, continue evaluation without shortening responses. Prompt the user to continue to receive complete results.

Recommendations:

• Use results to refine prompt writing skills across different content types and industries.
• Group criteria based on relevance and frequency of use in professional settings.
• Repeat evaluations periodically to track progress and improvements.

 

Present the evaluation results in a detailed table format with the following columns:

• Criteria
• Score (Beginner, Intermediate, Advanced, Expert-GURU)
• Strengths
• Areas for Improvement
• Recommendations

Ensure each criterion is thoroughly assessed with specific examples from the user’s prompts and tailored recommendations for improvement.

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The End of AI Prompt Engineering Skills Evaluation Master Prompt

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Grouping for Simplicity

To maximize the effectiveness of your evaluations, consider grouping the 25 criteria into logical clusters. Here’s a suggestion for organizing them into groups of 5 or 10:

1. Core Communication Skills: Clarity, Relevance, Structure and Flow, Tone and Engagement, Actionability.
2. Creative Engagement: Creativity and Innovation, Audience Targeting, Persuasiveness.
3. Evidence and Support: Use of Evidence or Data, Actionability, Relevance.

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The Unique Approach of Nikolay Gul

Nikolay Gul’s methods are not only effective but also secure. By avoiding third-party logins and emphasizing self-customization, users can tailor their prompts to fit their unique styles and preferences. This approach fosters a personalized experience that enhances learning and professional growth.

Remaining 15 Evaluation Criteria for AI Prompt Engineering

1. Audience Engagement
   • Description: Evaluate how well prompts are tailored to engage the intended audience, drawing them in with relatable content.
   • Example of Improvement: Replace generic phrases with audience-specific hooks.
   • Recommendation: Use audience-centered language and include interactive elements like questions.
2. Call-to-Action (CTA) Effectiveness
   • Description: Assess the clarity and persuasiveness of CTAs in prompts, encouraging desired actions.
   • Example of Improvement: CTAs like “learn more” are vague; suggest specific actions such as “Download your free guide now.”
   • Recommendation: Make CTAs direct, compelling, and clearly connected to the content.
3. SEO Optimization
   • Description: Check for keyword usage and prompt structure to enhance search engine visibility.
   • Example of Improvement: Suggest adding relevant keywords or rephrasing for better SEO.
   • Recommendation: Use targeted keywords naturally and avoid over-optimization.
4. Data-Driven Approach
   • Description: Evaluate the use of facts, data, and statistics to support arguments or insights.
   • Example of Improvement: Highlight prompts lacking evidence and recommend integrating data points.
   • Recommendation: Use up-to-date, relevant data to substantiate claims.
5. Emotional Appeal
   • Description: Assess how well prompts leverage emotional triggers to connect with readers.
   • Example of Improvement: Suggest using more emotive language to drive empathy.
   • Recommendation: Use storytelling techniques and emotional hooks to engage readers on a deeper level.
6. Adaptability to AI Updates
   • Description: Evaluate prompts for compatibility with recent AI model updates and new functionalities.
   • Example of Improvement: Highlight outdated prompt structures and suggest revisions.
   • Recommendation: Stay updated on AI changes and adjust prompts accordingly.
7. Conciseness
   • Description: Review prompts for brevity without losing essential information.
   • Example of Improvement: Shorten overly long prompts while maintaining clarity.
   • Recommendation: Use concise language to keep prompts focused and effective.
8. Repetitiveness
   • Description: Check for repetitive phrasing or redundant information within prompts.
   • Example of Improvement: Identify areas where information is repeated unnecessarily.
   • Recommendation: Use varied expressions and rephrase similar ideas to keep prompts fresh.
9. Inclusivity and Diversity
   • Description: Ensure prompts reflect diverse perspectives and inclusive language.
   • Example of Improvement: Highlight narrow viewpoints and suggest more inclusive phrasing.
   • Recommendation: Use neutral, inclusive language that resonates with a broad audience.
10. Cohesion and Flow
    • Description: Assess the logical flow of ideas and how well parts of the prompt connect.
    • Example of Improvement: Highlight where transitions are weak or ideas feel disjointed.
    • Recommendation: Use connecting words and logical sequencing to enhance readability.
11. Technical Accuracy
    • Description: Evaluate prompts for correctness when dealing with technical or specialized topics.
    • Example of Improvement: Identify inaccuracies in technical descriptions or industry jargon.
    • Recommendation: Verify information against reliable sources to maintain accuracy.
12. Formatting and Readability
    • Description: Check the structure and visual layout of prompts for ease of reading.
    • Example of Improvement: Suggest using bullet points, numbering, or spacing for better readability.
    • Recommendation: Use formatting tools to enhance prompt clarity and user engagement.
13. Problem-Solving Ability
    • Description: Assess how well prompts guide AI to generate problem-solving content.
    • Example of Improvement: Highlight areas where problem-solving questions could be more direct.
    • Recommendation: Use scenario-based prompts to stimulate practical solutions.
14. Originality in Approach
    • Description: Evaluate how uniquely the prompts approach common topics or challenges.
    • Example of Improvement: Point out clichés and suggest fresh angles.
    • Recommendation: Research current trends to inspire novel prompt directions.
15. Feedback Integration
    • Description: Check how well prompts incorporate feedback or past evaluations for continuous improvement.
    • Example of Improvement: Identify prompts that repeatedly make the same errors.
    • Recommendation: Regularly review past feedback and adjust prompts to reflect improvements.

Embracing Nikolay Gul’s unique methods for prompt engineering will not only streamline your content creation process but also amplify your marketing and promotional efforts. The security and privacy features, along with the ease of use, make this approach ideal for professionals looking to elevate their communication skills.

 

Disclaimer: Security and Performance Notice

The AI Prompts Engineering Skills Evaluation System assesses your prompt engineering skills based on prompts and chats saved in your ChatGPT account. Key points to note:

• Performance Variability: Evaluation results may vary due to factors like account settings, subscription level, and usage patterns. We cannot guarantee consistent results across all accounts.
• Custom Instructions – Master Prompt: The Master Prompt is customizable and tested across various accounts, performing reliably. You can update or adjust parameters as needed.
• Privacy and Security: The evaluation uses text-based prompts similar to regular ChatGPT interactions, without additional security measures beyond those of ChatGPT’s platform.
• Free Usage and Distribution: The Master Prompt is free to use, modify, and share. Please credit ChatGPT developers and @NikolayGul (AiWiseMan.com – Visit my LinkedIn Profile) when sharing.

By using this system, you accept these terms. Your feedback is appreciated and helps improve the evaluation process.

 

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