When 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 your analysis will use.
Longer, more detailed prompts let you give the AI extra context or ask for in-depth analysis. This usually leads to better, more targeted results. However, if your prompt is too long or includes unnecessary information, you might use more credits without improving the output. Keep your prompts clear, focused, and only as long as needed to get the detail you want.
Credit use is directly tied to token count. Each plan in Discourse Analyzer gives you a set number of credits. Submitting longer prompts or asking for detailed, lengthy responses will use more credits. If you run out, you’ll need to add more credits or wait for your subscription to renew.
Tips:
- Be as detailed as necessary, but avoid adding unrelated or repetitive info.
- Short, vague prompts can waste credits by generating off-topic or unhelpful answers.
- If your request is complex, break it into smaller, focused prompts to save tokens and credits while still getting deep analysis.
In summary:
Balance detail with clarity. Use your tokens wisely to get the best answers and make the most of your credits in Discourse Analyzer.
