@ mention an agent in chat

This tutorial will show you how to use Anara’s specialized AI agents to enhance your research workflow with powerful, task-specific capabilities.

Step 1: Access the agents menu

To see available agents:

1. Type @ in any chat input
2. A dropdown menu appears showing all available agents
3. Each agent is listed with its specific capabilities

You can type @ anywhere in your message, not just at the beginning. This lets you combine multiple agents or add them mid-sentence.

Step 3: Select an agent

Choose the agent that best matches your task:

Research agents

• @Research: Get comprehensive answers from your library, web, and academic papers
• @Search Papers: Search millions of academic papers from PubMed, arXiv, JSTOR
• @Search Web: Find current information from across the internet
• @Search YouTube: Find and extract information from YouTube videos
• @Search Workspace: Search across all files and notes in your library

Creation agents

• @Create Citation: Generate properly formatted academic citations
• @Create Flashcards: Turn content into study materials
• @Edit Note: Modify existing notes with specific instructions
• @Complete Form: Fill out templates with organized information

Step 4: Write your query

After selecting an agent:

1. The agent name appears in your message (e.g., “@Research”)
2. Type your specific request after the agent mention
3. Be clear and specific about what you need

Example queries:

• “@Research What are the latest findings on climate change mitigation?”
• “@Search Papers Find studies on CRISPR gene editing from 2023”
• “@Create Citation Generate APA citations for all files in this folder”
• “@Create Flashcards Make study cards from this chapter on photosynthesis”

Step 5: Combine multiple agents

You can use multiple agents in a single conversation:

1. Start with one agent for initial research
2. Follow up with another agent to process the results
3. Chain agents together for complex workflows

Example workflow:

You: @Search Papers Find recent papers on machine learning in healthcare
[Agent provides results]

You: @Create Citation Create citations for the top 5 most relevant papers
[Agent generates citations]

You: @Create Flashcards Make flashcards from the key findings
[Agent creates study materials]

Advanced agent usage

Agent-specific tips

@Research

• Ask complex, multi-part questions
• Request synthesis across multiple sources
• Perfect for literature reviews

@Search Workspace

• Use when you know the information is in your library
• Great for finding forgotten notes or documents
• Searches file contents, not just titles

@Complete Form

• Provide a clear template structure
• Useful for systematic reviews
• Automates repetitive information gathering

Context awareness

Agents understand the context of your current view:

• In a folder: Agents can access all files within
• In a document: Agents know which document you’re viewing
• In a note: Agents can reference and modify the current note

Tips for effective agent use

• Match agent to task: Each agent excels at specific functions
• Be specific: Clear instructions yield better results
• Iterate: Use follow-up questions to refine results
• Combine strengths: Chain agents for complex research tasks
• Save time: Let agents handle repetitive tasks

Common use cases

Literature review

1. @Search Papers to find relevant studies
2. @Research to synthesize findings
3. @Create Citation for your bibliography

Study preparation

1. @Search Workspace to gather your notes
2. @Create Flashcards for active recall
3. @Edit Note to create a study guide

Research organization

1. @Complete Form to extract structured data
2. @Search Web for current context
3. @Create Citation for proper attribution

Next steps

Now that you can use agents, explore:

• Creating comprehensive notes with agent assistance
• Adding citations found by agents
• Organizing research for agent analysis