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Google Launches Gemini Spark With Deep Workspace Integration

Introduction

Google introduced Gemini Spark during its Google I/O conference, unveiling a new AI assistant designed to handle long-running tasks through deeper integration with the company’s ecosystem and productivity tools. The launch reflects Google’s broader push to expand agentic artificial intelligence systems capable of operating with limited user supervision.

Agentic Intelligence With Seamless Integration

Gemini Spark is built on Google’s Gemini models and uses an agentic framework developed by Google Antigravity. Sundar Pichai, CEO of Alphabet, said the assistant is designed to manage long-horizon tasks autonomously without requiring users to keep devices continuously active. The system is intended to function as a persistent AI agent capable of carrying out ongoing workflows across multiple applications.

Enhanced Productivity Through Data-Driven Functionality

Gemini Spark integrates directly with products across Google Workspace, including Gmail and Google Docs. According to Josh Woodward, Vice President of the Gemini App and AI Studio at Google Labs, the assistant can analyse information across emails, documents and spreadsheets to help users generate professional communications and manage workflows more efficiently. Google said the integration removes the need for complex third-party configurations by embedding the assistant directly within existing productivity tools.

Competitive Landscape And Future Prospects

The launch follows similar developments from companies including Anthropic and OpenAI, both of which recently introduced AI agents focused on productivity and workplace automation. Google’s approach, however, centres heavily on integration across its wider ecosystem of services and devices. Users will be able to interact with Gemini Spark through a dedicated Gmail address while monitoring activity through Chrome and Android systems.

Rollout And Availability

Gemini Spark is currently being tested internally at Google and is expected to become available next week for subscribers of Google AI Ultra. The company also signalled plans to expand connectivity through MCP integrations as it continues developing broader agentic AI capabilities across consumer and enterprise products.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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