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Introduction

A concise introduction to MultitaskAI and its main features

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Overview

Welcome to the MultitaskAI documentation. This custom chat interface helps you seamlessly work with AI models like OpenAI’s GPT and Anthropic’s Claude. By bringing your own API keys, you maintain complete privacy while managing and comparing conversations, uploading files, and exploring advanced agent setups—all in one place.

Key Capabilities

Simplified Chat Experience

MultitaskAI provides a single, intuitive dashboard for initiating and managing your chats with OpenAI's GPT, Anthropic's Claude, and Google's Gemini models. You can enable split-screen sessions to compare responses in separate panels. This approach fosters more organized workflows without losing track of vital information.

Advanced File Handling

Files can be uploaded and parsed to extract text or other relevant data before integrating them into your ongoing chats. These attachments give you contextual references readily available as you refine prompts or converse with multiple AI agents.

Multi-Agent Interactions

Agents allow you to set up different systems to specialize in a variety of tasks. Each agent can include unique context, instructions, file references, and custom models. This structure enables you to handle multiple lines of thought at once, especially when you’re exploring varied solutions or creating localized experts.

Model Configuration

With MultitaskAI, you can configure and manage different AI models to suit your specific needs. Adjust global settings, per-chat configurations, or within agents to optimize the AI's behavior and enhance your workflow.

Background Completions and Message Queueing

With background completions, other tasks continue in the foreground while existing chats finish up. You can also queue instructions so that once one message is answered, follow-up queries automatically proceed, establishing a steady flow of productive exchanges.

Main Components

  • Chats: Interact with AI models in an intuitive chat interface with advanced features like message queueing and stream control.
  • Agents: Create specialized AI agents with custom contexts, instructions, files, and models.
  • Files: Upload and manage files to use as context in your conversations.
  • Models: Configure AI models and settings to suit your workflow.
  • Settings: Customize application preferences and global configurations.

Setting Up API Keys

Before you can start chatting with AI models, you need to provide your own API keys from OpenAI, Anthropic, and/or Google. These keys allow MultitaskAI to connect directly to the AI models while keeping your data private.

  • API Keys: Learn how to obtain and configure your API keys.

Next Steps

Setup and Configuration

In the next sections of our documentation, you’ll see how to set up MultitaskAI by adding your own API keys. Learn how to tailor model parameters to best suit your workflow, from quick question-answer sessions to more thorough coding or research tasks.

Exploring the Interface

  • Chats: Dive deeper into the chat interface and discover how to utilize features like message queueing and stopping the AI stream.
  • Agents: Learn how to set up different agents with custom models and files for specialized tasks.
  • Files: Understand how to upload and use files within your conversations and agents.
  • Models: Explore how to configure and optimize AI models and their settings.

Customizing Agents and Prompts

Once you’re comfortable with the basics, test out custom system instructions. Experiment with dynamic placeholder variables in your prompts, or set up unique agents to streamline creative, technical, or informational tasks.

Dive into the following pages to discover detailed guides, advanced use cases, and best practices that will help you get the most out of MultitaskAI.

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