Prompt Engineering
What is Prompt Engineering?
Last Updated: June 16, 2025Prompt engineering is the practice of designing clear, precise, and effective questions or commands, known as prompts, to guide the AI’s analysis. In the context of the Discourse Analyzer AI Toolkit, prompt engineering means thinking carefully about how you ask the AI to perform a task, answer a question, or analyze a text. Every prompt...
Why Prompt Quality Matters
Last Updated: June 16, 2025The quality of your prompt directly shapes the results you get from Discourse Analyzer. When you use clear, focused, and specific prompts, the AI can understand your intent and provide more relevant, accurate, and useful analysis. Poorly worded, vague, or overly broad prompts make it harder for the AI to know what you want, which...
Prompt Structure: How to Ask Effectively
Last Updated: June 16, 2025Getting the best results from Discourse Analyzer starts with writing clear, direct, and actionable prompts. The way you ask your question shapes the AI’s analysis. Here’s how to structure your prompts for maximum clarity and effectiveness: Prompt Structure Examples: The clearer your prompt, the more focused and actionable your results will be. This saves you...
Examples of Good vs. Bad Prompts
Last Updated: June 16, 2025The way you write your prompt makes all the difference in the analysis you get from Discourse Analyzer. Here are some examples to help you see what works and what doesn’t: Good Prompt Examples Bad Prompt Examples Commentary With Discourse Analyzer, always give a clear instruction that points to the result you want. Avoid vague...
Prompting in Free Mode vs. Tool Mode
Last Updated: June 16, 2025Discourse Analyzer gives you two main ways to enter prompts: Free Mode and Tool Mode. Each mode affects how your prompts are handled and what kind of results you get. Free Mode Example prompt for Free Mode: Tool Mode Example prompt for Tool Mode: Key Differences Tip: If you want maximum control and precision, use...
Customizing Prompts for Different Tasks
Last Updated: June 16, 2025With Discourse Analyzer, you can shape the AI’s analysis by customizing your prompts for each type of task. The more specific your instructions, the more targeted and insightful your results will be. For Theme Analysis Tell the AI what kind of themes to look for or what to ignore.Example: For Structure Analysis Ask about how...
Prompt Engineering for Interactive Articles
Last Updated: June 16, 2025Interactive Articles in Discourse Analyzer let you engage with content on a deeper level. To get the most out of these articles, focus on writing targeted, context-aware prompts when you click on highlighted text. How to Get Detailed, Context-Aware Explanations Tips By practicing targeted, context-aware prompt engineering in Interactive Articles, you’ll get detailed explanations that...
Common Mistakes and How to Avoid Them
Last Updated: June 16, 2025When using Discourse Analyzer, prompt mistakes can lead to weak or confusing results. Here are typical errors and how to fix them: 1. Vague or Broad Prompts 2. Overly Long or Complex Prompts 3. Missing Context 4. Yes/No Prompts for Deep Analysis 5. Unrelated or Off-Topic Prompts 6. Ignoring Tool Mode 7. Forgetting About Credits...
Advanced Techniques: Refining and Iterating Prompts
Last Updated: June 16, 2025Getting the most from Discourse Analyzer often means adjusting your prompts as you work. Refining and iterating your prompts is how you turn broad results into targeted insights. Start with an initial question or analysis request. Review the AI’s response. If the answer is too general, too short, or misses something important, don’t hesitate to...
Prompt Length, Tokens, and Credits
Last Updated: June 16, 2025When you use Discourse Analyzer, every prompt you enter is measured in tokens. Tokens are units of text (roughly a word or a few characters each) used by the AI to process both your prompt and its response. The total number of tokens affects how much detail the AI can handle and how many credits...