> ## Documentation Index > Fetch the complete documentation index at: https://docs.push.ai/llms.txt > Use this file to discover all available pages before exploring further. # Product Updates > New updates and improvements. ### New Feature: AI-Assisted Model Editing * The AI agent can now suggest changes to your semantic models — adding metrics, measures, and dimensions with inline patch suggestions * Live activity timeline shows each step the agent takes when building or updating a model * Modified rows are highlighted so you can quickly review what changed before accepting suggestions * Smarter validation catches issues like duplicate measure names and invalid metric configurations before they're saved ### New Feature: Learning Center * Interactive learning modules covering key concepts: data modeling, knowledge graphs, integrations, context windows, agent skills, and more * Each module walks through a topic in digestible sections with clear explanations * Mobile-friendly layout with responsive navigation ### Charts & Visualizations * New waterfall chart type with dynamic formatting and percentage support * Time series analysis charts now lock their chart type to prevent accidental changes * Fixed-schema chart types hide irrelevant configuration controls for a cleaner editing experience ### Context & Integrations * New Context overview page showing a unified summary of all connected sources — data warehouses, integrations, knowledge, and web sources * Redesigned context sidebar with per-card scrolling and clearer organization * Agent responses now link back to the specific integration sources they used, so you can see where each answer came from * Data table previews load faster with pre-fetched source details ### Semantic Layer & Models * Top-level metric filters let you scope any metric to a specific subset of data directly from the metric configuration modal * Percentile aggregation support for measures * Derived metrics now support per-reference filters on formula tokens for more precise calculations * Cascading validation: deleting or modifying a model element now correctly flags all dependent metrics and dimensions * Models can be created without measures for dimension-only use cases ### AI Agent Improvements * Agent now tracks and displays web page sources used during analysis * Improved search with pagination and per-type result counts for more complete answers * Better handling of complex metric references and object mentions in conversation ### Onboarding * Onboarding now includes a real query step so you can test your data connection immediately after setup * Data source auto-detection streamlines the warehouse connection flow ### Settings & UX * Column type icons are now consistently aligned across all data tables * Full internationalization pass across the product with improved translations * Fixed a settings panel flash when closing modals ### Performance & Reliability * Faster permission checks with cached authorization policies * Fixed streaming timeouts that could interrupt long-running agent sessions * Fixed issues with model creation forms silently dropping invalid configurations * Resolved errors when editing conversion metrics and derived metric references * Fixed query planner errors when referencing removed semantic objects ### 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 ### General Updates * Added support for dimensions with derived metrics ### 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