AI Copilot

Premium

AI-powered analysis assistant for bioinformatics

Overview

The AI Copilot is an intelligent assistant that helps you navigate Kaidoku's bioinformatics tools. It can:

- **Tool recommendations**: Suggest appropriate tools for your analysis - **Query understanding**: Interpret natural language questions - **Analysis guidance**: Provide step-by-step guidance - **Tool execution**: Automatically execute tools when requested

Key features

- Natural language interface - Context-aware responses - Tool execution capabilities - Platform knowledge base

How to Use

Getting Started

1. Navigate to the Copilot page 2. Type your question or analysis request 3. The copilot will interpret your intent 4. Follow suggested tools or let the copilot execute them

Query Types

- **Tool questions**: "What tools can analyze DNA sequences?" - **Analysis requests**: "Analyze the GC content of this sequence" - **Platform questions**: "What is Kaidoku?" - **How-to questions**: "How do I align sequences?"

Example queries

- "What tools do I need for variant calling?" - "Calculate GC content for ATGCGATCG" - "How do I build a phylogenetic tree?"

Tool Execution

Automatic Execution

- For high-confidence queries, the copilot can automatically execute tools - Results are displayed directly in the chat - You can review and download results

Manual Execution

- Review tool suggestions - Click "Execute Tool" to run manually - Adjust parameters if needed

Execution Requirements

- Provide sequence data when needed - Ensure you have access to premium tools (if required) - Check tool-specific requirements

Use Cases

**1. Getting Started** - Learn about available tools - Understand platform capabilities - Get guidance on analysis workflows

**2. Tool Discovery** - Find tools for specific analyses - Understand tool capabilities - Compare different tools

**3. Workflow Guidance** - Get step-by-step analysis guidance - Understand tool ordering - Learn best practices

Tips & Best Practices

1. **Be specific**: Clear, specific queries get better results 2. **Provide context**: Include sequence data or analysis goals 3. **Review suggestions**: Always review tool suggestions before execution 4. **Iterate**: Refine queries based on responses 5. **Learn patterns**: The copilot learns from platform usage 6. **Combine with tools**: Use copilot guidance alongside direct tool usage