Built-in AI tools that extend Hyper’s native capabilities
Hyper includes powerful built-in tools that work natively within the platform without requiring external connections. These tools handle everything from data analysis to web research, file processing, and content creation.
Code Interpreter
Execute Python code, analyze data, and generate reports directly within Hyper.Example requests:
“Use Code Interpreter to analyze this CSV file and create a sales performance chart”
“Use Code Interpreter to calculate customer lifetime value from my spreadsheet data”
“Use Code Interpreter to process this data and generate a summary report with insights”
Web Search
Search the web for real-time information and research.Example requests:
“Use Web Search to find SaaS pricing trends and compile a competitive analysis”
“Use Web Search to research industry news and create a weekly intelligence briefing”
“Use Web Search to find contact information for healthcare AI startups”
Web Browsing
Navigate websites, extract content, and monitor changes.Example requests:
“Use Web Browsing to extract key product features from competitor websites”
“Use Web Browsing to monitor competitor pricing pages and alert me of changes”
“Use Web Browsing to screenshot our landing page and compare it to competitors”
Image Generation
Create custom images and visual content from text descriptions.Example requests:
“Use Image Generation to create a hero image for our new product launch”
“Use Image Generation to create social media graphics for our marketing campaign”
“Use Image Generation to design a logo concept for our startup”
File Management
Upload, organize, convert, and process files automatically.Example requests:
“Use File Management to convert these PDF documents to text and organize by topic”
“Use File Management to process uploaded invoices and extract billing information”
“Use File Management to compress these images and organize them into folders”
Supported formats: PDF, DOC, XLSX, CSV, images, archives, and moreVector Store
Store and search document embeddings for AI knowledge bases.Example requests:
“Use Vector Store to build a searchable knowledge base from company documents”
“Use Vector Store to find similar documents to this product specification”
“Use Vector Store to create a semantic search index of our customer feedback”
System tools work best when combined with your app integrations to create powerful workflows. Try chaining multiple system tools alongside your connected apps and you can accomplish virtually anything you can imagine.
Select system tools in your chat toolkit or workflow builder
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Make Requests
Describe your task and specify which tools to use in your request
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Review Results
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System tools work best when combined with app integrations. For example: “Search the web for leads, add them to Google Sheets, and send personalized emails via Gmail.”