Use The Ultimate AI Detector To Discern Between Human Written And AI Generated Text. This Tool Utilizes Advanced NLP Techniques To Identify Textual Features Indicative Of AI Generation Such As Unnatural Phrasing, Repetitive Patterns, And Lack Of Emotional Depth.

Use the Ultimate AI-Detector to discern between human-written and AI-generated text. This tool utilizes advanced NLP techniques to identify textual features indicative of AI generation such as unnatural phrasing, repetitive patterns, and lack of emotional depth.

M
mcdiddy
·May 3, 2026·
36 0 495
$6.99
Prompt
780 words

AI-Generated Text Analysis Prompt Template

Purpose: This template is designed to help users submit text for analysis to determine if it is AI-generated or human-authored. It focuses on breaking down the text analysis process into clear, sequential steps to detect AI characteristics. Language Support:

  • The system currently supports analysis of text in English, Spanish, French, German, Italian, Portuguese, Dutch, Polish, Russian, Arabic, Hindi, Mandarin Chinese, Japanese, and Korean.
  • If your text is in a language not listed above, please contact our support team for assistance. Input and Preprocessing:
  • Input Handling: Accept raw, unstructured text from the user for analysis. Ensure compatibility with various text formats such as .txt, .doc, .docx, .pdf, and .rtf.
  • Normalization: Convert text to a uniform format, including lowercasing, removing punctuation and special characters, and standardizing whitespace. Feature Extraction:
  • Text Analysis:
    • Detect repetitive phrases, sentence structures, and overuse of buzzwords (e.g., "synergy", "cutting-edge", "disruptive innovation"). This analysis relies on our custom-built NLP models.
    • Evaluate emotional depth and personal touch using advanced sentiment analysis powered by our proprietary EmotionXtract tool, which goes beyond basic sentiment to identify nuanced emotions.
    • Assess consistency of style and tone to identify shifts that are uncommon in human-written text, such as sudden changes in formality or emotion without context.
    • Analyze sentence structure and syntax for patterns that typically appear in AI-generated texts, such as overly complex or overly simplistic sentence constructions.
    • Examine formal language usage and identify generic or vague statements (e.g., "great for all your needs"), which can often indicate a lack of genuine, specific content. Scoring and Identification:
  • Scoring System: Each feature is assigned a score from 1-10 based on its frequency and severity as an indicator of AI generation. Frequency is a count of occurrences, while severity is determined by how strongly the feature suggests AI authorship based on our extensive training data.
    • For example, a high frequency of buzzwords might receive a score of 8, while occasional generic statements may receive a 3.
  • Threshold Determination: Texts are flagged as potentially AI-generated if they meet one of these criteria:
    • Total feature score exceeds 75 points
    • Any single feature receives a score of 9 or 10
    • More than half of the features are scored 5 or above Detailed Analysis and Reporting:
  • Analysis Depth: Users can choose from three levels of analysis:
    • Basic: Overall score and a list of flagged features (results within 5 minutes)
    • Standard: Detailed breakdown of each feature with examples from the text (results within 30 minutes)
    • Advanced: In-depth analysis with additional AI pattern detection and detailed explanations (results within 2 hours)
  • AI Text Identification: For texts that exceed the threshold, the system performs a deep dive to identify specific traits, such as:
    • High similarity to known AI language model outputs (e.g., GPT-3 patterns)
    • Structural markers of chatbot-generated text (e.g., overly consistent turn-taking)
    • Anomalies in context retention and logical progression that suggest AI generation
  • Report Generation: The comprehensive report includes:
    • Overall AI-generation score and confidence level
    • Breakdown of scores for each feature analyzed
    • Relevant examples from the text illustrating each flagged feature
    • Explanations of AI traits identified in the detailed analysis
    • Visual aids like heatmaps showing the distribution and severity of AI characteristics
    • Recommendations for human review of specific sections as needed User Instructions:
  1. Submit Text: Input the text you wish to analyze. Please ensure it meets our format and size requirements.
  2. Provide Context (Optional): If desired, provide brief context about the purpose of your analysis (e.g., verifying authorship, checking for AI use in student essays). This can help us tailor recommendations.
  3. Choose Analysis Depth: Select Basic, Standard, or Advanced analysis. Note that deeper analysis requires more processing time.
  4. Review Report: After analysis is complete, carefully review the detailed report to understand the results and determine the likelihood of AI generation. Focus on high-scoring features and identified AI traits.
  5. Provide Feedback: We value your feedback to improve our tool. Please rate the usefulness of the report and provide any other comments via the feedback form. Support and Troubleshooting:
  • For issues with submitting text or receiving results, please first consult our FAQ and troubleshooting guide.
  • If you encounter any errors or have questions not addressed in the documentation, our support team is available via email or live chat to assist you. By following this enhanced prompt template, users can systematically analyze texts to identify potential AI-generated content, with greater customization, detailed reporting, and support options to optimize their experience and interpretation of results.

{INPUT TEXT TO ANALYZE}

{INPUT TEXT TO ANALYZE}

How to Use

Use with LangChain: hub.pull("mcdiddy/aidetector")

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