πŸ”΅ Gmail gets a new AI Agent to help manage your day and the ChatGPT App Store officially launches

Β· Source: Department of Product Β· Field: Technology & Digital β€” Artificial Intelligence & Machine Learning, Software Development & Engineering, Project & Product Management Β· Depth: Intermediate, medium

Summary

Google is rolling out new experimental AI products, including a Gmail agent named CC designed to summarize "Your day ahead" by accessing Gmail, Calendar, Drive, and the web. Another experimental tool, Opal, is now available in the Gemini app, allowing users to build and share AI mini-apps for tasks like business profiling and product research. Concurrently, the ChatGPT App Store has officially launched, enabling developers to submit apps, with early adopters including Figma and Instacart. This period also highlights significant product data and trends for 2025, such as a 19% growth in global internet traffic, a substantial increase in lines of code per developer due to AI augmentation, and Notion generating half its revenue from AI products. Kindle also introduced an "Ask this Book" AI Assistant for spoiler-free recaps, while DoorDash launched Zesty, a restaurant discovery app leveraging AI for hyper-specific searches.

Key takeaway

For product teams assessing future distribution and development strategies, you should closely monitor the performance of AI app marketplaces like the ChatGPT App Store. Your investment in these platforms could become crucial as user behavior shifts from native applications to integrated AI tools. Additionally, consider how AI-powered discovery apps, like DoorDash's Zesty, can create valuable data moats for personalization and user engagement, informing your own product ecosystem expansion.

Key insights

AI is rapidly integrating into core productivity and discovery platforms, driving significant shifts in product development and user interaction.

Principles

Method

The "10x Leverage Tool" prompt identifies asymmetric growth opportunities by analyzing goals, context, and past efforts to rank micro-actions by ROI and map minimum viable sequences.

In practice

Topics

Best for: Entrepreneur, AI Product Manager, Product Manager, Software Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Department of Product.