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  • AI Chat Tools
    • ChatGPT - OpenAI
      • Start with ChatGPT
      • Account Settings
      • ChatGPT Free Plan
      • ChatGPT Account Settings
    • Claude - Anthropic
      • Signup for Claude
      • User Interface
    • Gemini - Google
  • AI Concepts
    • Context
    • Tokenization
    • Prompt Engineering
    • Temperature
    • Max Tokens
    • Fine-Tuning
    • System Prompt
    • Persona
    • Memory
    • Hallucination
    • Model Bias
    • Embedding
    • Latency
    • User Intent
    • Multimodal AI
    • Safety Layers
    • Chain of Thought
    • Prompt Templates
    • Retrieval-Augmented Generation (RAG)
  • Introduction to Prompting
    • Beginner's Prompting Strategies
      • Understanding the Purpose of a Prompt
      • Be Specific and Clear
      • Using Contextual Information
      • Direct vs. Open-Ended Prompts
      • Step-by-Step Instructions
      • Role-Based Prompts
      • Sequential Prompts
      • Multi-Step Questions
      • Incorporating Examples
    • Common Prompting Mistakes to Avoid
      • Being Too Vague or Ambiguous
      • Overloading with Multiple Questions
      • Ignoring Context Limitations
      • Not Specifying the Desired Output
      • Lack of Iteration and Refinement
      • Neglecting to Set the Right Tone or Role
      • Using Jargon or Complex Language Unnecessarily
      • Ignoring Feedback from the AI
      • Overly Long or Short Prompts
      • Page 6
      • Page 5
      • Page 4
      • Page 3
      • Page 2
      • Page 1
    • Output Formatting Techniques
      • Using Headings and Subheadings
      • Bulleted and Numbered Lists
      • Paragraph Structure
      • Tables and Charts
      • Direct Answers vs. Detailed Explanations
      • Incorporating Summaries and Conclusions
    • Leveraging Formatting for Clarity
      • Highlighting Key Points
      • Guiding the AI on Tone and Style
      • Requesting Examples or Case Studies
      • Formatting for Different Audiences
      • Using Questions to Clarify Information
      • Prompting for Step-by-Step Guides
      • Customizing Responses for Presentation or Reports
      • Avoiding Over-Complicated Formatting
  • Types of Prompts
    • Direct Prompts
    • Instructional Prompts
    • Conversational Prompts
    • Contextual Prompts
    • Example-Based Prompts
    • Reflective or Feedback Prompts
    • Multi-Step Prompts
    • Open-Ended Prompts
    • Role-Based Prompts
    • Comparative Prompts
    • Conditional Prompts
    • Summarization prompts
    • Exploratory Prompts
    • Problem-Solving Prompts
    • Clarification Prompts
    • Sequential Prompts
    • Hypothetical Prompts
    • Ethical or Judgment-Based Prompts
    • Diagnostic Prompts
    • Instructional design prompts
    • Page 8
    • Page 7
  • Advanced Prompting Techniques
    • Zero-Shot
    • Few-Shot
    • Chain-of-Thought
    • Meta Prompting
    • Self-Consistency
    • Generated Knowledge
    • Prompt Chaining
    • Tree of Thoughts (ToT)
    • Retrieval-Augmented Generation (RAG)
    • Automatic Prompt Engineer (APE)
    • Active Prompt
    • Directional Stimulus
  • Live Examples
    • Legal
      • Non-Disclosure Agreement (NDA)
      • Employment Contract
      • Lease Agreement
      • Service Agreement
      • Sales Agreement
    • Zero-Shot Prompting
    • Few-Shot Prompting
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On this page
  1. Introduction to Prompting
  2. Leveraging Formatting for Clarity

Guiding the AI on Tone and Style

The tone and style of a response can greatly influence how the content is perceived. By specifying the desired tone—whether formal, casual, instructional, or conversational—you can tailor the AI’s response to fit the context. For example, “Explain the basics of investing in a friendly, easy-to-understand tone” versus “Provide a formal explanation of investment strategies.” This guidance ensures the response is not only formatted correctly but also delivered in a style that resonates with the intended audience.

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Last updated 5 months ago