Keyboard shortcuts
Several shortcuts can help you work more efficiently:
@shortcut: Type@anywhere in the chat input to open a menu for switching agents, selecting tools, or attaching context. You can tag agents, AI models, tools, data sources, folders, and individual documents. Use the arrow keys to navigate the menu, or keep typing to filter results.

/shortcut: Type/in the chat input to open the command menu. From there, you can insert formatting blocks like text, headings, bullet lists, ordered lists, code blocks, blockquotes, and dividers, or choose Save prompt to save the current prompt.- Navigate to chat: Press
Cmd+K(orCtrl+K) to jump directly to the Chat view from anywhere in the app. - Save reusable prompts: Use
Cmd+Sor type/in the chat bar and select “Save current prompt”. When you save a prompt, you’ll be asked to give it a label. Your saved prompts are accessible from the/menu. - Cancel a response: Press
Escto stop a response that is being generated.
Research mode

Detailed analysis
Synthesize information from many sources into a single, coherent answer
Multi-step reasoning
Break down complex questions into sequential sub-tasks
Comprehensive reports
Generate structured reports with citations from hundreds of sources
How research mode works
Multi-agent execution
Specialized sub-agents perform tasks like searching, reading documents, and analyzing data.
Example use cases
Competitive analysis
Competitive analysis
“Analyze all mentions of our competitors in customer calls and summarize key themes from the past quarter.”
Project status review
Project status review
“Review all project updates across Linear, Slack, and documentation to create a comprehensive status report.”
Knowledge synthesis
Knowledge synthesis
“Compile everything we know about customer X from all sources and identify gaps in our documentation.”
Research mode may take longer than standard queries because it reads and analyzes many more sources to provide a comprehensive answer.
Using filters in chat
For example, “How many HubSpot deals of type new business are in the stage building business case?” will automatically filter by data source (HubSpot), deal type (new business), and stage (building business case).Reviewing and editing filters

- Check the filters shown above your results to see what was applied
- Click on the pencil icon to modify any incorrect filters
- After editing, rerun the query to get updated results
Filtering by data source
You can narrow down your queries by telling Realm where to look. For example:By data source
By data source
“Based on HubSpot, what’s our history with customer Acme Corp?”
By time range
By time range
“List all support tickets from the customer Realm Technologies from the past 14 days”
By channel or location
By channel or location
“Summarize discussion from the #sales-gtm channel”
By entity
By entity
“Only include results from Acme company, exclude everything else”
Special features
Documents

Exporting documents

Data analysis

What you can do with Data Analysis:
- Generate charts and visualizations
- Calculate statistics and summaries
- Identify trends and patterns
- Create pivot tables and aggregations
Support ticket resolution
If you’re working with support tickets in tools like Zendesk or Freshdesk, you can ask Realm to suggest resolutions. Paste a link to the ticket in chat, and Realm will analyze the ticket content, search relevant knowledge base articles, and suggest a resolution.Foreign language support
You can ask Realm questions in languages other than English. Realm searches for materials in the same language as your prompt, and responses are provided in that language. Cross-language search is also supported.If a significant share of your knowledge base is in a foreign language, have your admins inform the Realm team. We can make significant optimizations that improve Realm’s performance in a given language.

