What\u2019s new in AI tools
Automated weekly roundup of release notes and changelogs across every AI tool we track. Currently indexing 113 updates.
This week \u2014 2026-W18
AI Tools This Week: 42 updates across 7 products
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April Drop 2026
Added slide and interactive HTML page generation features, plus embedded MCP Apps integration within Glean Assistant for cross-tool actions.
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June Drop 2026
Introduced meeting notes functionality that converts meetings into searchable context and enables interactive content creation for teams.
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Prompt Caching
Automatic computation reuse for requests with common prefixes, delivering 50% cost savings on cached tokens and improved response times. Rolling out to Kimi K2 with automatic expiration for privacy.
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Leanstral 1.5: Proof Abundance for All
Leanstral 1.5 is released with enhanced proof capabilities for mathematical reasoning.
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Custom instructions for personalized chat responses
GitHub Copilot now supports custom instructions in VS Code and Visual Studio to personalize chat responses based on preferred tools, organizational knowledge, and coding practices. This allows for more tailored AI assistance.
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Permission isn't purpose: Intent-based authorization in Omnigent
Databricks introduced contextual policies in Omnigent that provide intent-based authorization capabilities. The feature blocks unauthorized access based on the purpose and context of data requests rather than just permissions.
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Introducing AI spend controls with Unity AI Gateway
Databricks announced AI Spend Controls in Unity AI Gateway to help organizations manage and monitor AI-related costs. This feature extends the existing Unity AI Gateway capabilities with budget management functionality.
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Simplify AI agent orchestration with Lakebase Postgres
Databricks introduced Lakebase Postgres to simplify AI agent orchestration workflows. The solution addresses traditional auditing challenges and provides better data management for AI applications.
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Leanstral 1.5: Proof Abundance for All
Mistral AI released Leanstral 1.5, an updated version of their proof-focused model.
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Your Prompts and Skills need a system of record
Studio now provides a system of record for AI prompts and skills with versioning, ownership, and traceability features.
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Custom Instructions
GitHub Copilot now supports custom instructions to personalize chat responses in VS Code and Visual Studio based on preferred tools, organizational knowledge, and coding practices.
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Prompt Files
Users can now save and reuse prompt files to get faster and more consistent responses from GitHub Copilot across sessions.
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MCP Registry Integration
GitHub Copilot CLI includes GitHub MCP by default and can be extended with additional MCP servers for enhanced context and external tool integration.
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Meta's Spark Muse 1.1 is now available on Databricks, fully governed by Unity AI Gateway
Meta's Spark Muse 1.1 model is now integrated with Databricks platform and governed through Unity AI Gateway. This provides users access to the latest model capabilities with enterprise governance controls.
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The skills gap behind agentic AI — and how Databricks is closing it with a new context engineer certification and agent trainings
Databricks launched a new Context Engineer certification program and agent training courses to address the skills gap in agentic AI development. The certification focuses on building AI agents and context engineering capabilities.
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Leanstral 1.5: Proof Abundance for All
Mistral AI released Leanstral 1.5, an updated version of their proof-focused language model.
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Your Prompts and Skills need a system of record
Studio now provides a system of record for AI prompts and skills with versioning, ownership tracking, and traceability features.
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Share Notion Workers across your team
Workers can now be shared with teammates with either 'Can connect' or 'Full access' permissions, enabling team collaboration on custom code solutions.
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Ask Copilot for a repository overview
New feature allows users to request repository overviews directly from Copilot.
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Share Notion Workers across your team
Users can now share Notion Workers with teammates, allowing collaboration on Worker development and connecting Workers to multiple Custom Agents across teams.
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Share Notion Workers across your team
Teams can now share Notion Workers with different permission levels, allowing collaboration on AI automation tools across sales and marketing teams.
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Contextual Policies in Omnigent: Using session state to better govern AI agents
Databricks enhances Omnigent, their open source AI agent meta-harness, with contextual policies that use session state for improved governance. This allows for more sophisticated control over AI agent behavior.
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June Drop 2026
Added meeting notes functionality that turns meetings into searchable context with interactive content for team collaboration.
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Custom instructions for personalized chat responses
GitHub Copilot now supports custom instructions in VS Code and Visual Studio to personalize chat responses based on preferred tools, organizational knowledge, and coding practices.
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Leanstral 1.5: Proof Abundance for All
Mistral AI released Leanstral 1.5, an updated version of their open-source foundation model for trustworthy coding applications.
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Granular Usage Attribution for dbt Pipelines with Query Tags
Databricks introduces query tags functionality to provide detailed usage attribution for dbt pipelines, helping teams track and manage warehouse costs more effectively.
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Introducing Waymo Premier, an elevated rider experience
Waymo launched Premier, a premium tier service offering an elevated experience for top riders. The new service tier provides enhanced features for frequent users of Waymo's autonomous ride-hailing platform.
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Introducing Waymo Premier, an elevated rider experience
Waymo launched Premier, a premium tier service offering an elevated experience for top riders. The new service tier provides enhanced features and amenities for frequent users.
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Introducing Waymo Premier, an elevated rider experience
Waymo launched Waymo Premier, a premium tier service offering an elevated experience for top riders of their autonomous ride-hailing service.
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Introducing Waymo Premier, an elevated rider experience
Waymo launched Premier, a new premium tier service offering enhanced rider experience features. The service provides priority status and elevated amenities for riders.
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Introducing Waymo Premier, an elevated rider experience
Waymo launched Premier, a premium tier service offering an elevated experience for top riders of their autonomous ride-hailing service.
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Introducing Waymo Premier, an elevated rider experience
Waymo launched Premier, a new premium service tier offering an enhanced rider experience with additional features and amenities.
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Same Driver, new vehicle: Welcoming our first riders trips in the Ojai
Waymo began offering rider trips in their new Ojai vehicle model. The deployment maintains the same autonomous driving technology while introducing a new vehicle platform.
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Same Driver, new vehicle: Welcoming our first riders trips in the Ojai
Waymo introduced the Ojai as a new vehicle option in their autonomous fleet, marking the first passenger trips in this vehicle model.
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Merge cells in simple tables
Users can now merge cells in simple tables to create headers spanning multiple columns or group related rows into structured layouts.
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Merge cells in simple tables
Users can now merge cells in simple tables to create headers spanning multiple columns and structured layouts.
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Merge cells in simple tables
Added ability to merge cells in simple tables to create headers spanning multiple columns and group related rows.
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Custom instructions for personalized chat responses
GitHub Copilot now supports custom instructions in VS Code and Visual Studio to personalize chat responses based on preferred tools, organizational knowledge, and coding best practices.
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Prompt files for consistent responses
Users can now save and reuse prompt files to get faster and more consistent responses from GitHub Copilot. This feature helps standardize interactions with the AI assistant.
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Accelerating LLM Inference with Prompt Caching for Open‑Source Models on Databricks
Databricks introduces prompt caching capabilities for open-source LLM inference to improve performance and reduce latency. The feature optimizes repeated inference operations by caching common prompt patterns.
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December Drop 2025
Added new quickstart agents designed to help sales and revenue teams accelerate their workflows from request to completion.
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Transforming industries with conversational AI: Partner solutions built on Databricks Genie
Databricks showcases partner solutions leveraging Databricks Genie for conversational AI across various industries. The announcement highlights ecosystem expansion and industry-specific AI applications.
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Announcing the Databricks analytics engineer learning pathway
Databricks launched a new Analytics Engineer Learning Pathway to provide structured training for analytics engineers.
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Helix-02 Bedroom Tidy
The Helix-02 system demonstrates autonomous bedroom cleaning and organization capabilities.
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Helix-02 Bedroom Tidy
Figure AI demonstrated Helix-02's ability to perform bedroom cleaning and organization tasks autonomously.
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Helix-02 Bedroom Tidy
Figure AI's Helix-02 robot demonstrates autonomous bedroom cleaning and organization capabilities.
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Plan Mode
Introduced Plan Mode for Custom Agents, which adds a preliminary step where agents ask clarifying questions and build detailed plans before executing complex multi-step tasks. This reduces errors and increases confidence in agent outputs.
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Plan Mode
Introduced Plan Mode where agents ask clarifying questions and build detailed plans before executing complex multi-step tasks. This feature reduces surprises and increases confidence when agents make significant changes to pages or databases.
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New Custom Agent Directory
Added a dedicated Custom Agent Directory in the Library where users can browse all workspace agents, pin favorites, and create new ones. The directory provides centralized access to automate team workflows.
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New Custom Agent controls for admins
Added comprehensive admin controls for Custom Agents including permission management, per-agent credit limits, workspace-level spending controls, and usage tracking dashboards. Includes automatic guardrails to prevent unexpected spending.