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On this page
  • 1. AI Chat (Home Section)
  • 2. AI Agent (File-Based AI Processing)
  1. Züs Apps
  2. Vult

Vult AI

PreviousMobileNextBatch Processing

Last updated 29 days ago

Vult AI is an advanced AI-powered system integrated into the Vult App that enables users to interact with AI models for real-time conversations, file analysis, image and text processing, and batch processing. It offers a variety of AI models, each optimized for different tasks, and provides users with a secure and privacy-focused experience.

1. AI Chat (Home Section)

Vult AI’s Home Section includes a Chat Interface where users can:

  • Interact with AI in real-time using text or voice commands.

  • Attach files to be processed by AI models.

  • Choose from multiple AI models optimized for different use cases.

  • Search the web for information.

  • Access stored chat history in the AI Chat Folder.

Available AI Models

For free-tier users, the following models are available:

  • GPT-4o-mini – Fast and lightweight.

  • GPT-4o – High-quality text processing.

  • Grok – General knowledge queries.

  • DeepSeek – Specialized AI assistant.

  • BFL – Image generation.

  • Minimax: AI Art Generator that converts text descriptions into images

For paid-tier users, additional advanced models are unlocked. Located on the left sidebar, it displays:

  • Usage percentage based on available AI credits.

  • Helps users manage their AI model consumption.

Chat History and Sessions

On the right panel, the UI displays session history, allowing users to revisit past AI interactions. Each chat session is automatically saved under AI Chat in the user's storage. Users can open previous sessions, continue conversations, or delete unwanted chats.

Response Handling and Output

AI-generated responses appear instantly in the chat window. If a file is attached, the AI processes the file and returns insights based on the document type (text extraction, summarization, etc.).

For image-based tasks, AI can enhance, modify, or generate new visuals from existing images.

Storage & Retrieval

  • Chats from the AI Home Section are saved in the AI Chat Folder.

  • Files processed via AI Agent are stored in the AI Agent Folder.

2. AI Agent (File-Based AI Processing)

The AI Agent, accessible in the All Files section, allows users to analyze and process files using AI models.

How to Use AI Agent

  1. Navigate to the All Files section. Right-click on a file and select AI Agent.

  1. The AI Agent interface opens, where the user can input a single prompt.

  1. The AI Agent processes the file and provides a single response.

  1. The response is stored in the AI Agent Folder.

Supported File Types

  • Text Files (.txt, .json, .md)

  • Code Files (.py, .js, .go, .java, etc.)

  • Document Files (.pdf, .docx, .ppt)

  • Image Files (.png, .jpg, .jpeg)

Processing Time

  • Single file requests: AI generates an instant response.

  • Batch processing: Large-scale processing may take up to 24 hours.

The AI Agent feature is accessible from the All Files section. It allows users to perform AI-powered processing on specific files instead of general chat. Unlike AI Chat, which focuses on real-time conversations, AI Agent is designed for single-action requests that process files individually.

AI Agent Features and Limitations

  • AI Agent is ideal for code analysis, document summarization, image processing, and batch file operations.

  • It supports one-time responses only, meaning users cannot engage in follow-up queries within the same session.

  • Files processed using AI Agent are stored in the AI Agent folder, separate from AI Chat sessions.

Batch Processing with AI Agent

Vult AI Agent also supports batch processing, which allows users to process multiple files in a folder. When batch processing is enabled:

  • The system downloads all files from the selected folder.

  • It generates a JSONL file containing the file data and user prompt.

  • The batch request is sent to OpenAI’s Batch API, which processes the request and returns results as text.

  • Batch processing takes up to 24 hours, making it suitable for large-scale document analysis, OCR tasks, and file-based AI automation.

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