🛒 Google unveils a universal protocol to make AI agents real shoppers

Google has introduced the Universal Commerce Protocol (UCP), a new open standard designed to let AI agents handle more of the buying process on behalf of users and businesses.

🔸 Announced at the National Retail Federation (NRF) conference, UCP provides a shared language for AI agents to work across entire commerce workflows from product discovery through checkout and post‑purchase support without bespoke integrations for every retailer or system.

🔸 The protocol was developed in collaboration with major partners including Shopify, Etsy, Wayfair, Target, and Walmart, and is endorsed by more than 20 companies spanning payment networks and retailers.

🔸 UCP is designed to work alongside and interoperate with existing agent‑focused standards such as Agent Payments Protocol (AP2), Agent2Agent (A2A), and the Model Context Protocol (MCP), giving agents flexible interoperability across platforms.

🔸 Google says the protocol will soon power native checkout experiences directly within its AI surfaces including Google Search’s AI Mode and the Gemini app enabling users to complete purchases with Google Pay and shipping info stored in Google Wallet without leaving the conversation.

🔸 PayPal support is planned next, broadening payment options for UCP‑enabled transactions. Retailers can also embed branded “Business Agents” that answer product questions and offer direct discounts inside the AI shopping experience.

🔸 Google’s CEO Sundar Pichai described UCP as a foundational building block for an era where AI interfaces guide users from discovery to purchase seamlessly.

By standardizing how agents talk to merchants, platforms, and payment providers, Google is pushing AI beyond recommendations into actual transaction execution, potentially reshaping digital commerce.

📊 @tech

JUST IN: Google is working on a new tool for Gemini called "Auto Browse". Auto Browse will Chrome into a proper agentic browser, where Gemini will serve as a control interface.

This addition is a continuation of agentic functionalities announced in September.

📊 @tech

🔒 Deep dive guide surfaces for Cursor rival “Antigravity”

A comprehensive walkthrough of Antigravity, a competitor to Cursor and Google’s Windsurf, has appeared online, offering a rare behind-the-scenes look at the platform and its ecosystem of AI agents.

🔸 The guide was created by a developer who has analyzed the full stack, covering everything from installation to monetization.

🔸 It includes detailed instructions on setting up the platform, developing AI-powered features, and even generating revenue using the system.

🔸 The tutorial runs roughly 30 minutes, but it’s dense enough to serve as a complete primer for anyone looking to understand how Antigravity operates.

🔸 The analysis highlights how Antigravity leverages an army of AI agents to automate tasks that rival offerings like Cursor and Google Windsurf.

🔸 For developers and enthusiasts, this guide provides practical, hands-on insights that go beyond marketing materials, showing the platform’s real capabilities.

The post is already circulating among AI communities, suggesting that Antigravity’s architecture may influence future agent-based tools.

📊 @tech

💰 A profitable path to half a million:

1) Rebuild an expensive tool better
2) Launch open-source to attract users + contributors
3) Focus on SEO with programmatic content
4) Build in public for your audience

Iuliia Shnai took Papermark to $500K in 12 months - no funding

📊 @tech

📺 Google is rolling Veo 3.1 updates across Gemini, Flow, AI Studio and APIs.

🔸 Vertical formats support
🔸 Veo 3.1 Ingredients to Video
🔸 Improved ingredients to video consistency
🔸 Upscaling to 1080p and 4K across all Veo models
🔸 Verification of AI-generated videos in Gemini

📊 @tech

💻 AI code generation is turning into a real market

🔸 Analysts estimate the global market at $5.8B in 2025. Forecasts put it at $7.2B this year, with a projected path to $52B by 2035 at a 24.6% CAGR.

🔸 The smoothness of these curves deserves skepticism. Real markets rarely grow that cleanly for a decade.

🔸 Still, AI code generation is already embedded in daily developer workflows. That makes its impact on software labor costs a structural question, not a theoretical one.

📊 @tech

Anthropic puts $1.5M into Python and open source security

🔸 Anthropic signed a 2 year partnership with the Python Software Foundation, committing a total of $1.5M.

🔸 The focus is PyPI security and core infrastructure. One planned move is AI based scanning of every uploaded package. Today, most checks happen only after users report problems.

🔸 The first step is building a large dataset of known malware, with a chance it becomes open source.

This targets the weakest link in modern software supply chains.

📊 @tech