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Suggestion Agent ​

Overview ​

The Suggestion Agent provides contextual, proactive suggestions to enhance user productivity and discovery within the Mantis platform. It analyzes user behavior, data patterns, and platform context to offer relevant recommendations for actions, visualizations, and insights.

Proactive Intelligence

The Suggestion Agent anticipates your needs and provides timely recommendations to help you discover new capabilities and optimize your workflows.

Purpose ​

The Suggestion Agent leverages machine learning and pattern recognition to understand user intent and provide timely, relevant suggestions. It operates across all aspects of the platform, from data analysis workflows to interface navigation, helping users discover new capabilities and optimize their workflows.

Key Features ​

Intelligent Recommendations ​

  • Context-aware suggestions based on current workspace state
  • User behavior analysis and pattern recognition
  • Data-driven insights and visualization recommendations
  • Workflow optimization suggestions
  • Feature discovery and capability recommendations

Proactive Assistance ​

  • Real-time suggestions as users work
  • Predictive recommendations based on user patterns
  • Automated insights from data analysis
  • Smart shortcuts and time-saving suggestions
  • Learning from user feedback and preferences

Adaptive Learning ​

  • User preference learning and adaptation
  • Feedback integration for continuous improvement
  • Collaborative filtering from similar users
  • Contextual relevance scoring and ranking
  • Personalization based on user history

Suggestion Types ​

Smart Recommendations

Each suggestion type is designed to enhance different aspects of your workflow.

Data Analysis Suggestions ​

For data exploration and visualization with intelligent chart recommendations.

Visualization Suggestions ​

For chart and graph creation with optimal visualization type selection.

Tool and Feature Suggestions ​

For platform capabilities and tools that match your current task.

Workflow Optimization Suggestions ​

For process improvement and efficiency enhancements.

Research and Discovery Suggestions ​

For information gathering and exploration opportunities.

Example Suggestions ​

"Try creating a scatter plot to visualize the correlation between variables"
"Consider using the heatmap tool for this categorical data"
"Switch to the analysis panel for detailed statistical insights"
"Enable the time series view to see temporal patterns"
"Use the comparison tool to analyze differences between groups"