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

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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.

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Step 3: Select an agent

Choose the agent that best matches your task:

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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

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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

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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

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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”

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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

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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]

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Advanced agent usage

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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

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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

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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

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Common use cases

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Literature review

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

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Study preparation

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

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Research organization

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

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Next steps

Now that you can use agents, explore: