New Onboarding Experience
- Interactive product demo that walks through Push AI’s capabilities in under 5 minutes — no setup required
- Progressive demo starting with a basic data answer, then layering on web research and integrations to show the full power of multi-source AI
- Streamlined flow to connect your data warehouse (Snowflake, BigQuery, Redshift, ClickHouse, Databricks) with connection testing and field grouping
- After connecting tools like Slack, Notion, and GitHub via OAuth, onboarding shows what was discovered (channels, repos, pages) in a scrollable carousel
- Clear 5-step progress indicator (Demo, Connect, Explore, Model, Integrate) keeps you oriented throughout setup
Redesigned Home Dashboard
- Completely redesigned landing experience with a query input overlay and live metric ticker bar with inline sparkline charts
- Click any metric in the ticker to see a full-width trend chart powered by real data from your warehouse
- See your active agents and recent activity at a glance from the home page
Metric Formatting
- Configure how each metric displays its values — choose number, currency, or percentage with decimal precision, compact notation (1.2K, 3.4M), and custom currency symbols
- Formatting settings now apply consistently across charts (axes, tooltips, value labels), data tables, and CSV/JSON exports
- Set format and goal direction directly from the metric settings modal
- Update format and goal direction for multiple metrics at once
Unified Data Display
- Every data result now has a single toggle to switch between table view, chart view, and the underlying SQL
- Smooth cross-fade animations when switching between table, chart, and code views
- Toggle text wrapping in data table cells for better readability of long values
- Tables with many columns now handle gracefully, preventing issues with wide datasets
Charts in Notifications
- When an agent sends a scheduled report, charts are now rendered as images and included inline in Slack, Teams, and Email
- Data table results sent to Slack now include a downloadable CSV file attached to the message
AI Agent Improvements
- Live-updating todo list in the context sidebar as the agent works through complex analyses — see what’s pending, in progress, and completed
- Agents can now execute longer analysis runs for deeper, more thorough results
- Upgraded report writing for more coherent and complete output
- Data queries no longer cap at 100 rows — the agent retrieves all the data it needs for accurate analysis
- Improved chart generation with more reliable field detection for visualizations
Semantic Layer & Validation
- New issues page showing all invalid objects with error details and one-click resolution paths
- When a dimension, entity, or time field becomes invalid, all metrics that reference it are now automatically flagged
- Models with dimensions but no metrics are now fully supported
- Faster validation on large semantic layers
Data Model & Connections
- Redesigned business graph with a hub-and-spoke layout and dedicated panels for Sources, Metrics, Relationships, and Knowledge
- Consolidated warehouse connection forms into a single consistent experience across all providers
Task Progress
- Integration discovery and metadata sync now report detailed progress (which schemas, tables, and columns are being processed) instead of just showing “pending”
Performance & Reliability
- Fixed several issues that could freeze the query page or prevent navigation
- Fixed rendering issues with wide data tables containing many columns
- Fixed chart rendering issues in scheduled Slack and Email reports
Charts & Visualizations
- New chart types: treemap, heatmap, pie, and donut charts with percentage labels and smart aggregation
- Interactive charts: click to select data points, legend filtering, and reference lines/bands for annotations
- Smart date axes with continuous temporal scale and automatic quarter label formatting
- Small multiples: break a chart into a grid of subcharts by any dimension for easy comparison
- Download charts as images directly from the chat interface
- Simplified, cleaner tooltip design for source citations
Data Tables
- Completely rebuilt data tables with column sorting, drag-to-reorder columns, and column resizing
- Tables with hundreds of rows now render instantly
- Global search across all columns with instant highlighting and filtered row counts
- Row grouping and aggregation: group rows by any dimension with collapsible sections and automatic numeric aggregation
- One-click copy to clipboard, or export as CSV / JSON — respects any active search filters or row selection
- Conditional formatting: toggle heatmap-style color coding for numeric columns to spot patterns at a glance
- Sticky headers and optional row numbering
Query & Chat Experience
- New context sidebar showing all data sources and integrations referenced in your conversation
- Click any data source in the context sidebar to open a resizable live data preview alongside your chat
- Scroll-to-bottom button to quickly jump to the latest message in long conversations
- Metrics built from other metrics (derived/composite) are now fully supported in queries
- View the generated SQL behind any metric or query result
Integrations
- Connect third-party tools directly from settings with a streamlined OAuth experience
- Name your connections, view details, and delete with inline confirmation
- Push AI now automatically discovers your Slack channels, GitHub repos, Linear projects, Notion pages, and Asana workspaces so the AI can reference them in context
- Improved search and navigation in the integrations settings panel
Semantic Layer & Models
- Create and edit semantic models using a rich YAML editor with inline validation and error messages with line numbers
- View and manage derived/composite metrics that reference other metrics
- More reliable syncing between your data warehouse schema and your semantic model definitions
AI Agent
- 11 new built-in analysis skills including trend analysis, cohort comparison, anomaly detection, and more
- Human-in-the-loop tool approval — the agent asks for your approval before executing sensitive actions
- Hybrid query mode: the agent can now fall back to direct SQL when the semantic layer doesn’t cover a question
- Agent actions collapsed by default with clear one-line summaries; expand for full detail
Settings & UX
- Redesigned modal-based settings with faster loading and cleaner navigation
- Two-panel dashboard layout with improved schema browsing on the data page
- Better UX for finding and managing saved queries
- Cleaner agent history grouped by query instead of individual runs
- Streamlined product experience with fewer options for a more focused workflow
Performance
- Faster data transfer with an optimized data pipeline
- Query results, entity recognition, and join resolution now cached with automatic invalidation on model changes
- Fixed inflated query view counts — now tracks unique viewers per query
- Faster page loads through reduced bundle size
New Feature: Multi-Model Queries
- Query data across multiple semantic models in a single request
- Smart disambiguation when objects exist in multiple models
- Automatic discovery of join paths between models
Complex Metrics
- Create derived metrics based on other metrics
- Use metrics in filter conditions
- Support for queries without aggregation
Model Validation
- See exactly why a model or object is invalid
- Automatic scheduled validation of models
YAML Model Creation
- Create semantic models using YAML syntax with a built-in code editor
- Real-time validation with helpful error messages
- Automatic label generation from definitions
New Feature: Tool Approval
- Review and approve tool executions before they run
- Clear visual feedback on approval status
- Dedicated approval flow for SQL execution
New Feature: AI Skills
- New skills system for higher-level agent orchestration
- 11 new analysis skills available out of the box
- Create custom skills for your team
Hybrid Query Mode
- Automatically fall back to SQL when the semantic layer can’t answer a question
- Combine semantic layer precision with SQL flexibility
Time Field Improvements
- Models can specify default time fields
- Better handling of time grain throughout queries
Performance
- Faster query compilation and execution
New Feature: Subagents
- Main agent can now coordinate specialized subagents for complex analysis
- Parallel subagent execution with result aggregation
- View results from subagent runs in the main conversation
- Control how many subagents run simultaneously
New Feature: Agent Scheduling
- Set up agents to run on a recurring schedule
- Configure scheduling behavior with flexible policies
- Track whether a run was triggered manually or by schedule
Agent Configuration
- Configure reasoning effort for more thorough or faster analysis
- Control the level of detail in agent responses
- Choose which AI model powers each agent
Data Table Improvements
- Better axis configuration for data visualizations
- Richer metadata for table columns
- Improved dimension value handling
Knowledge Documents
- Documents now influence query mode selection
- Documents included in AI context based on query mode
New Feature: SQL Explore Mode
- New query mode for direct SQL exploration of your data
- Choose between Explore, Analyze, and Deep Research modes
- Select specific data sources for exploration
- Configure which schemas, tables, and columns are available
Data Source Objects
- Reference schemas, tables, and columns in queries using @mentions
- Data source objects now appear in the business graph
- Detailed tooltips for database objects on hover
AI-Powered Metadata
- AI-suggested descriptions and synonyms for objects
- Edit metadata directly in tables
- Refresh schema with automatic column reconciliation
Knowledge Documents
- Link knowledge documents to metrics, dimensions, and other objects
- Documents can influence which query mode is used
- Full lifecycle management: publish, unpublish, and delete
Agent History
- View parameter values used in agent runs
- See who created each agent run
Search Improvements
- Improved search including descriptions and synonyms
- Option to search by name only for precise matching
- Show complete object paths in selector
Integrations
- Updated authentication for improved compatibility with third-party providers
New Feature: Knowledge Documents
- Full-featured document editor with versioning and autosave
- Save drafts and publish when ready
- View and restore previous versions of documents
- Compare changes between document versions
Navigation Reorganization
- “Knowledge” is now “Context” for clearer navigation
- New dedicated Integrations tab under Context
New Feature: Business Graph 2.0
- Completely rewritten visualization with an interactive canvas
- Automatic graph layout with smart positioning
- Web pages and knowledge documents now appear in the graph
- Rich tooltips on graph nodes showing object details
- Navigate the graph by expanding and collapsing nodes
Agent Improvements
- Agents can now have parameterized dimension values
- New card UI with metric charts showing goal progress
- View agent run history with status and timing
- Dedicated tabs for monitoring agent status
New Data Source: ClickHouse
- Connect to ClickHouse databases
- Full schema discovery for ClickHouse with proper case-sensitivity handling
Integration Objects
- Select which Slack channels and users to include
- New UI for selecting integration objects
New Feature: Report Builder
- Add data queries directly to reports
- Use relative time periods instead of fixed dates
- Include agent analysis in reports
New Feature: Agent Configuration
- New rich text editor for configuring agent prompts
- Reference integrations, metrics, and other objects directly in agent prompts using @mentions
- Configure goal metrics for agents to track
Object Mentions
- Rich tooltips showing object details on hover
- Integrations can now be mentioned like other objects in prompts
New Feature: Metric Formulas
- New UI for creating and editing metric formulas
- Automatic measure extraction from data queries
- Visual indicators when objects aren’t valid for use in formulas
Field Mapping
- Redesigned field mapping step in model creation
- Progressive field mapping during model setup
Query Experience
- Share queries at specific timestamps
- Check for model references in queries
New Chart Types
- Waterfall charts for visualizing incremental changes over time
- Area and scatter chart options
- Improved axis formatting with smarter date and time labels
New Feature: Query Sharing
- Share queries with team members via a new sharing modal
- Generate public links to share query results externally
- View and edit permissions now enforced on shared queries
Model Management
- Improved model editing experience with better field management
- Bulk operations for business objects
- Merge duplicate or related business objects
- Track and display active and inactive fields
Metrics & Measures
- Improved interfaces for managing measures including SQL preview
- Better metric type selection and configuration
- Support for distinct count and other aggregate functions
- Improved time field handling in models
Query Experience Overhaul
- Redesigned query creation flow with a cleaner, more intuitive interface
- New query grid layout for browsing and managing saved queries
- More responsive query cancellation
Data Exploration
- Explore dimension values directly within the query interface
- Real-time “Analyzing…” feedback while the AI processes your question
Integrations
- Integrations now seamlessly connect to the AI assistant
- Better visibility into agent task execution status
Permissions
- New permission scoping for better access control
- Fixed interaction issues with permission-gated elements
Internationalization
- Added support for Spanish and French locales
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