New Feature: Slack as a Source of Context in Reviews
- The agent uses what your team is already discussing in the channel to improve relevancy and respond to feedback.
- This gives the agent context around what’s important and a method of providing feedback
- Use this to facilitate an asynchronous weekly business review style workflows
Agent Updates
- Latency improvements through faster tool initialization with integrations
- Thread management in Slack across both channels and app DMs
Agent Updates
- Latency improvements through LLM model caching
- Enhanced charting configuration
- Enhanced search capabilities for faster and more relevant results
New Feature: Record-level Data Queries
- Support for record-level queries to drill into data further
- Define Attributes for longer context or high cardinality fields (Beta)
New Feature: Tools
- Tools allow you to leverage context from and take action in your third-party applications
- Tool integrations include Gmail, Hubspot, Google Calendar, Linear, Notion and 250+ additional integrations.
- Over time, we’ll work to more deeply integrate and connect the objects and resources from these integrations into the Business Graph (e.g., connect a message, meeting transcript, or document to a single, canonical customer record)
Agent Updates
- Query Agent: Improved Slack search performance and latency
- Query Agent can now answer questions using Push.ai documentation
- Added support for web tools, enabling real-time web and documentation search
New Feature: Use the Query Agent in Slack and Microsoft Teams
- Query the Agent directly in Slack channels, App DMs, and Microsoft Teams
- Agent responses in Reviews now include deeper background analysis, chart generation, and custom destination formats
New Feature: The Push.ai Query Agent
- Ask questions in natural language using trusted semantic-layer queries
- Agentic Business Graph exploration (i.e., it can do data analysis for you)
- Brings explicity tagged and relevant untagged Business Objects into context
- Support for citations, sources, charts, tables
New Feature: Knowledge
- Support for generic knowledge processors of chat systems, meeting recording transcripts, and documents
- Source specific and LLM-driven chunking
- Added ability to integrate knowledge via data warehouses
- Added ability to upload knowledge from files
General Updates
- Enhanced performance and latency of the dbt semantic layer integration
General Updates
- Introduced additional calculations for trailing periods and introduced calculations for future periods including “Next Period” and “Leading Periods”
- Introduced Spanish translation support
Bug Fixes
- Fixed issue where calculation order was lost in Reviews
- Fixed issue with displaying duplicate Dimensions in the Dimension table on metric pages
New Feature: Outliers (experimental)
- Introduced ability for users to receive outliers for any metrics they’ve subscribed to
- Introduced sensitivity configuration for outlier detection
Performance Improvements
- Improved caching and performance of object selectors and omni-search
- Introduced unlimited scroll for dimension-values, improving app performance with high cardinality dimension values
UI Upgrades
- Expanded use of iconography for metrics, dimension and dimension-values
Bug Fixes
- Fixed issues with Review creation and saving
- Fixed ability to group-by dimensions and filter to dimension values