Chat AI — detailed guide
Everything you need to know about how Chat AI works, what tokens are, and how to get the best results from your transcriptions.
What is Vscoped Chat AI?
Chat AI is an advanced artificial intelligence-driven technology that analyzes transcribed data to extract valuable insights and generates content based on the transcribed information. It employs natural language processing and machine learning to identify patterns, trends, and significant information within transcribed content. This approach assists businesses in understanding customer feedback, market trends, and creating meeting minutes — and serves as a powerful tool for content creators to produce high-quality, customized content swiftly.
What are Chat AI tokens?
Chat AI tokens are the building blocks of text that AI uses to understand and process words and sentences. Think of tokens as small chunks of text — each token can be part of a word or a complete word, depending on language and context. For example, in English, a token might represent one word like "apple" or part of a word like "chat."
Quick reference
1,000 tokens ≈ 750 words in English
Understanding Chat AI inputs
Template
Start fresh and describe what you want, or choose from Vscoped's ready-made templates for common tasks like meeting minutes, summaries, or YouTube descriptions.
Name
A label to help you organize your chats. Chat AI does not use this information in its responses.
Input
Tell Chat AI exactly what to do with your transcription. Be specific — e.g. 'Create meeting minutes with action items' or 'Write a YouTube video description.'
Additional information
Share any context beyond the transcript itself — meeting date, attendees, channel name, or anything else that might help Chat AI produce better results.
Transcription length
Choose which part of the transcript Chat AI uses. By default it uses the full transcript, but you can narrow to a specific section.
Token estimation
Vscoped provides an estimate of how many tokens your input, additional information, and transcribed data will consume. We cannot estimate the tokens used in Chat AI's response until after it's generated — the final count is displayed once the response is complete.
Use cases
- Meeting Minutes: Automatically create detailed meeting minutes from transcribed discussions and decisions.
- Meeting Summaries: Concise summaries of meetings or discussions.
- Content Summaries: Generate concise summaries of any transcribed content.
- Learning and Education: Develop study notes or summaries from recorded lectures or classes.
- Market Research Reports: Extract key insights and data trends from transcribed market research interviews.
- Customer Feedback Analysis: Analyze transcribed customer feedback to improve products and services.
- Content for Social Media: Create posts, tweets, and updates based on transcribed content.
- YouTube Video Content: Create titles, descriptions, and content ideas for YouTube videos.
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