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- xAI's Grok coding model arrives in VS Code
xAI's Grok coding model arrives in VS Code
PLUS: An AI platform automates 400 jobs and 1Password secures agents
Good morning, AI enthusiast.
xAI's Grok coding model has landed in Visual Studio, putting its powerful capabilities directly into the hands of millions of developers. The model is now accessible through the widely-used GitHub Copilot Chat extension.
This integration places Grok in direct competition with other models inside Microsoft's popular IDE. With xAI's tool now just a click away for Copilot users, will its performance be enough to challenge the established players in the AI coding assistant market?
In today’s AI recap:
xAI's Grok arrives in VS Code
An AI platform automates 400 jobs
1Password secures AI agents
AI labs self-insure against copyright lawsuits
8 trending AI tools
Grok Codes in VS Code

The Recap: xAI’s powerful Grok Code Fast 1 model is now available in Visual Studio, directly integrating into the workflow of millions of developers. The announcement from Microsoft Visual Studio confirms the model is accessible through the GitHub Copilot Chat extension.
Unpacked:
The model is delivered via the GitHub Copilot Chat extension, meaning developers can switch to Grok without installing a separate tool.
Access is currently in public preview and limited to users on Copilot's Pro, Pro+, Business, and Enterprise plans.
This integration places Grok in direct competition with other models powering developer tools right inside Microsoft's widely-used IDE.
Bottom line: By embedding Grok within an established tool like Copilot, xAI lowers the barrier for developers to test its capabilities against incumbents. The move also intensifies the battle for dominance in the AI coding assistant market, bringing more choice and power directly into the developer's editor.
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AI Tools of the Day
🗣️ Ditto – Make your video content speak any language using AI dubbing that preserves your original voice for a global audience.
💻 Energent.ai – Automate complex computer tasks like data entry and web scraping using simple, natural language commands.
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📈 ClickFrom.AI – Optimize your e-commerce store to get recommended by large language models like ChatGPT and drive a new wave of AI-generated traffic.
🎶 Riffusion – Compose completely unique music in real-time by describing styles and instruments with text prompts.
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⛽ DataFuel – Turn entire websites into perfectly structured, RAG-ready datasets with a single query to train your custom LLM applications.
Explore the Best AI Tools Directory to find tools that will 10x your output 📈
AI Automates 400 Jobs

The Recap: Global insurance and fintech firm Acrisure is laying off 400 accounting staff after successfully deploying an AI platform to automate their functions. The company announced the cuts will take place primarily in early 2026.
Unpacked:
This decision is the direct result of a long-term strategy that began when the company acquired Tulco’s AI business in 2020 for $400 million.
Acrisure plans to not only use the platform for internal efficiency but also commercialize it as a service for its small-business clients.
The company frames the move as resource reallocation, noting it is still hiring for over 100 open positions and hopes to transition some affected employees to new roles.
Bottom line: This is one of the most direct examples of AI replacing established white-collar roles at a significant scale. Acrisure’s plan to also sell the platform shows how internal automation tools can quickly become external revenue streams.
AI Training
The Recap: We just posted our very first (of many!) AI automation training videos on YouTube. In this video, we walk through how to use n8n, firecrawl, and rss.app to scrape virtually any piece of web content and transform it into LLM-ready output.
P.S. We also launched a free AI Automation Community for those looking to build and sell AI Automations — Come join us!
1Password Secures AI Agents

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AI's Copyright War Chest

The Recap: Top AI labs OpenAI and Anthropic are reportedly exploring using investor funds to self-insure against massive copyright lawsuits, signaling that the legal risks of training AI models have outgrown the traditional insurance market.
Unpacked:
The traditional insurance market simply lacks the capacity to cover the potential multi-billion dollar damages, with experts noting the sector doesn't have "enough capacity for (model) providers."
OpenAI has considered creating a “captive” insurance vehicle, a special internal fund that large companies use to manage unique, high-stakes risks themselves.
This isn't just theoretical; a federal judge recently gave preliminary approval to a $1.5 billion settlement in a copyright class-action lawsuit filed against Anthropic.
Bottom line: This strategy signals a major shift in how AI companies view legal challenges over training data. Instead of treating copyright infringement as an external risk, they are beginning to treat it as an unavoidable operational cost funded internally.
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Signing off,
David, Lucas, Mitchell — The Recap editorial team