Telemetry data
Learn about the telemetry data IBM Bob collects, how it's used to improve the product, and how to enable or disable data collection.
IBM Bob collects telemetry data by default to help improve the product. You can opt out to disable telemetry data collection at any time. Telemetry data helps IBM learn how to improve Bob. Your cooperation is greatly appreciated.
Note:
Enterprise plan users must keep telemetry enabled to view data in Bobalytics. Disabling telemetry will prevent your usage data from appearing in analytics dashboards.
Overview
When telemetry is enabled, IBM Bob collects usage data and telemetry about how you interact with the product. This includes:
- Actions you take in IBM Bob
- Features you use and how they perform
- Error and diagnostic information
This data helps IBM:
- Identify which features are most useful to users
- Prioritize future development efforts
- Diagnose and fix issues
- Improve overall product quality
Privacy
IBM Bob does not collect your code, prompts, or other sensitive information as part of telemetry data.
Configuring telemetry data collection
You can control telemetry data collection through IBM Bob's settings.
- In the top menu bar, click IBM Bob > Settings > Settings.
- In the settings panel, navigate to Application > Telemetry.
- Use the Telemetry Level dropdown to control data collection:
- Select off to disable telemetry data collection
- Select all to enable telemetry data collection (default)
- In the top menu bar, click File > Settings > Settings.
- In the settings panel, navigate to Application > Telemetry.
- Use the Telemetry Level dropdown to control data collection:
- Select off to disable telemetry data collection
- Select all to enable telemetry data collection (default)
Telemetry Level setting
The Telemetry Level setting controls all telemetry data collection. Set it to off to completely disable data collection, or all to enable it.
Custom rules
Custom rules influence how Bob responds to your requests, aligning output with your specific preferences and project requirements. Configure custom rules to control Bob's coding style, documentation approach, and decision-making processes.
Understanding MCP
The Model Context Protocol (MCP) is a standardized communication protocol that enables AI systems to interact with external tools and services.