Frequently Asked Questions
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PermaURL : How accurate is the AI's analysis?
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PermaURL : How can I get longer, more detailed answers from the AI?
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PermaURL : Why is the AI's answer sometimes cut in the middle?
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Various chat settings can influence how many credits are used per response:
- AI Model Selection: More advanced models (like newer versions of GPT, Claude, or Gemini) typically use more credits than standard models. In the model selection dropdown, models that use credits are clearly marked.
- Context Budget: A larger context budget allows the AI to consider more of your documents content, but uses more credits. This is especially important for comprehensive analysis of big collection and/or lengthy documents.
- Thinking Level: Higher thinking levels enable more thorough reasoning but require more computational resources and therefore more credits.
- Maximum Answer Length: Longer maximum output settings allow for more detailed responses but use more credits.
PermaURL : How do chat settings affect credit usage? -
PermaURL : What are some general tips for asking effective questions?
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PermaURL : How should I frame my questions when analyzing large datasets?
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PermaURL : Can I ask docAnalyzer.ai to parse, extract, or translate a very large dataset all at once?
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PermaURL : Can docAnalyzer effectively analyze structured content like tables or Excel files?
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PermaURL : If I delete a chat, do you keep a copy ?
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PermaURL : If I delete a document, do you keep a copy ?