About Prompt
- Prompt Type – Dynamic
- Prompt Platform – ChatGPT, Grok, Deepseek, Gemini, Copilot, Midjourney, Meta AI and more
- Niche – Documentation
- Language – English
- Category – Business
- Prompt Title – AI Agent Prompt for AI-Powered Knowledge Base Assistance
Prompt Details
This prompt is designed to be dynamic and adaptable for use across various AI platforms for business documentation purposes. It aims to extract information, generate content, and provide insightful analysis related to a specific knowledge base. Use the placeholders provided (within curly braces `{}`) and replace them with your specific inputs.
**Prompt Structure:**
“`
Task: {Specify the task – Choose ONE from the options below}
Knowledge Base Context: {Provide context about the knowledge base – see detailed instructions below}
Specific Input/Query: {Provide the specific input or query related to the task and knowledge base}
Output Requirements: {Specify the desired output format and any specific requirements – see detailed instructions below}
Optional Parameters: {Include any optional parameters for fine-tuning – see detailed instructions below}
“`
**Task Options (Choose ONE):**
* **Information Retrieval:** Retrieve relevant information from the knowledge base.
* **Content Generation:** Generate content based on information from the knowledge base. (e.g., summaries, explanations, tutorials, FAQs)
* **Comparison and Analysis:** Compare and analyze different aspects within the knowledge base. (e.g., feature comparison, version differences)
* **Gap Analysis:** Identify gaps or missing information within the knowledge base.
* **Content Optimization:** Suggest improvements for existing content within the knowledge base. (e.g., clarity, conciseness, SEO)
* **Knowledge Base Structure Analysis:** Analyze the structure and organization of the knowledge base.
* **Question Answering:** Answer specific questions based on the knowledge base.
**Knowledge Base Context (Required):**
Provide comprehensive context about the knowledge base including:
* **Domain/Subject:** Specify the domain or subject area of the knowledge base. (e.g., software development, finance, healthcare)
* **Target Audience:** Describe the intended audience for the documentation. (e.g., developers, end-users, administrators)
* **Knowledge Base Format:** Specify the format of the knowledge base. (e.g., Markdown files, HTML pages, database entries, API documentation)
* **Key Concepts/Terminology:** List key concepts, terminology, or jargon specific to the knowledge base that the AI should be aware of.
* **Location/Access:** If necessary, provide instructions on how to access the knowledge base. This could include URLs, file paths, or API endpoints. If the knowledge base is not directly accessible by the AI, provide relevant excerpts or summaries.
**Specific Input/Query (Required):**
Provide the specific input related to the chosen task. Examples:
* For **Information Retrieval:** “Retrieve information about user authentication.”
* For **Content Generation:** “Generate a tutorial on how to set up a new account.”
* For **Comparison and Analysis:** “Compare the features of version 2.0 and version 3.0.”
* For **Gap Analysis:** “Identify missing information regarding data security best practices.”
**Output Requirements (Required):**
Specify the desired output format and any specific requirements. Examples:
* **Format:** “Markdown,” “JSON,” “HTML,” “Plain text”
* **Length:** “Concise summary,” “Detailed explanation,” “Approximately 500 words”
* **Style:** “Formal,” “Informal,” “Technical,” “Non-technical”
* **Tone:** “Objective,” “Persuasive,” “Informative”
* **Inclusions:** “Include code examples,” “Provide step-by-step instructions,” “Include relevant links”
**Optional Parameters (Optional):**
Include any optional parameters to fine-tune the output. Examples:
* **Keywords:** Provide relevant keywords to guide the AI’s focus.
* **Examples:** Provide examples of desired output format or style.
* **Constraints:** Specify any constraints on the output. (e.g., “Do not include information about pricing”)
* **Specific Instructions:** Provide any specific instructions for the AI. (e.g., “Use active voice,” “Focus on benefits for the user”)
**Example Prompt (Information Retrieval):**
“`
Task: Information Retrieval
Knowledge Base Context: Domain: Software Development; Target Audience: Developers; Knowledge Base Format: Markdown files located in the /docs folder on GitHub; Key Concepts: API, REST, Authentication, OAuth; Location/Access: [GitHub Repository URL]
Specific Input/Query: Retrieve information about integrating with the payment gateway API.
Output Requirements: Format: Markdown; Length: Detailed explanation; Inclusions: Include code examples in Python.
Optional Parameters: Keywords: API integration, Payment Gateway, Python, Authorization; Specific Instructions: Focus on error handling and security best practices.
“`
This dynamic prompt structure allows for flexible and precise interaction with AI models across different platforms, enabling efficient knowledge management and enhanced documentation workflows. Remember to replace the placeholders with your specific details. The more detailed and specific the prompt, the better the results.