πŸ”΅ Notion's new Workers can build Stripe Dashboards and is a Claude Backlash brewing?

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

Summary

Notion has launched a new Developer Platform featuring "Workers" and "Feature Creatures" to enable internal tool building and third-party integrations, exemplified by a Stripe sync and an agent for feature toggling. Google introduced agentic workflows and "vibe-coded" widgets for Android, allowing natural language task automation across apps and custom widget generation. Microsoft is refining its Copilot Design System to treat AI as a thought partner, while also scaling back some AI features like TikTok's AI summaries and Microsoft's own Copilot entry points due to user feedback. Data indicates Anthropic's Claude has surpassed OpenAI in business adoption, with a 3.8% rise to 34.4% compared to OpenAI's 32.3%, and AI is increasingly impacting workforce planning, with companies like Monday.com maintaining flat headcount due to productivity gains.

Key takeaway

For AI Product Managers evaluating platform strategies, Notion's new Developer Platform with "Workers" and "Feature Creatures" offers a compelling model for empowering non-engineering teams to build internal tools and manage integrations. You should explore how similar agentic capabilities could streamline your product's workflows and reduce reliance on engineering resources for routine tasks, while also considering user feedback to avoid feature bloat.

Key insights

AI agents and platforms are transforming product development and user interaction through automation and proactive capabilities.

Principles

Method

Google's agentic workflow allows users to describe complex, multi-app tasks in natural language, which Gemini then executes sequentially, using screen context and personal data.

In practice

Topics

Best for: Investor, CTO, VP of Engineering/Data, AI Product Manager, Product Manager, Director of AI/ML

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