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- Google Expands Gemini on Android With Cross-App AI Actions and Widget Creation
Google Expands Gemini on Android With Cross-App AI Actions and Widget Creation
AND: Meta Brings AI Replies to Threads in New Grok-Style Experiment
Danish Anwar
May 13, 2026
✨TodayOnAI’s Daily Drop
Google Expands Gemini on Android With Cross-App AI Actions and Widget Creation
Meta Brings AI Replies to Threads in New Grok-Style Experiment
Dessn Raises $6M to Bring AI-Powered Design Directly Into Production Codebases
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| 📌 The TodayOnAI Brief |
🚀 TodayOnAI Insight: Google unveiled a major expansion of Gemini-powered AI features at its Android Show: I/O Edition event, pushing Android closer to a fully agentic mobile experience. From completing tasks across apps to generating custom widgets with natural language, Gemini is evolving from a chatbot into a deeply integrated operating layer for Android.
🔍 Key Takeaways:
Gemini can now execute multi-step tasks across apps, such as copying grocery lists from Notes into shopping carts with user confirmation before checkout.
Android is gaining Gemini’s web automation tools, allowing the AI assistant to browse sites, fill forms, and complete actions like appointment booking.
Gemini in Chrome arrives on Android in June, enabling page summaries and contextual Q&A directly inside the browser.
Google introduced “Rambler” in Gboard, a multimodal dictation feature that reformats speech naturally by removing filler words while preserving tone.
Users will soon be able to “vibe-code” Android widgets using natural language prompts, bringing lightweight AI-powered customization to the home screen.
💡 Why This Stands Out: Google is steadily transforming Gemini into an ambient assistant woven across the Android ecosystem rather than a standalone AI app. The broader strategy is clear: make AI proactive, context-aware, and deeply embedded into everyday workflows. The widget-generation feature also hints at a future where software customization becomes conversational instead of code-driven.
Meta
🚀 TodayOnAI Insight: Meta is testing a new AI-powered feature on Threads that lets users mention Meta AI directly in posts and replies to get real-time explanations, recommendations, and trend context. The move positions Threads as more than a social platform — Meta wants it to become an AI-assisted discovery layer for live conversations.
🔍 Key Takeaways:
Threads users in select countries can now tag Meta AI in conversations to ask contextual questions directly inside the app.
The feature mirrors X’s Grok integration, where AI responds publicly to explain trends, events, or viral content.
Meta AI can answer prompts about sports, entertainment, breaking news, and online discourse in the same language as the original post.
Beta testing is currently limited to Malaysia, Saudi Arabia, Mexico, Argentina, and Singapore.
Meta says users can mute or hide AI responses, while the company continues refining moderation and safety safeguards before a wider rollout.
💡 Why This Stands Out: Social platforms are increasingly evolving into AI-mediated information ecosystems, where chatbots sit directly inside public conversations instead of separate search interfaces. Meta’s approach suggests the next phase of social media may center on contextual AI companions that explain the internet in real time. The bigger question is whether users will trust AI-generated context as these systems become more visible inside public discourse.
Dessn
🚀 TodayOnAI Insight: AI design startup Dessn has raised $6 million to rethink how product teams collaborate on software design. Instead of generating static mockups, Dessn lets designers work directly inside live codebases running in the cloud — aiming to close the gap between design exploration and production-ready implementation.
🔍 Key Takeaways:
Dessn abstracts away local dependencies so teams can run existing codebases instantly in the cloud without developer setup.
Unlike tools like v0 or Lovable, Dessn focuses on iterating on production software rather than generating apps from scratch.
The startup says working directly in production environments improves developer handoff and design fidelity.
Customers already include Mercury, Color, and Wispr, with pricing starting at $39 per user per month.
Dessn plans integrations with tools like Slack and Granola, but intentionally avoids Figma integrations to keep teams closer to production workflows.
💡 Why This Stands Out: Dessn reflects a broader shift in AI tooling: the value is moving from generating ideas to accelerating real operational workflows. Instead of replacing designers, the company is betting that AI will make high-quality product iteration dramatically faster — especially when design and engineering happen in the same environment. The bigger question is whether future design tools will still revolve around mockups at all, or evolve into direct interfaces for shaping live software.
| 💬 Let’s Fix This Prompt |
✨ See how a simple prompt upgrade can unlock better AI output.
🔹 The Original Prompt
"Generate blog ideas for a tech company."
At first glance, this prompt might seem okay. But it's too broad — and that limits the quality of AI-generated results. Let’s improve it using prompt engineering best practices.
✅ The Improved Prompt
Generate a list of unique, engaging blog post ideas for a B2B tech company that wants to attract decision-makers in mid-sized companies. Focus on topics related to emerging technology trends, industry insights, and practical solutions their software offers. Include suggested titles and a 1–2 sentence summary for each idea.
💡 Why It's Better
Specific audience: Targets decision-makers in mid-sized companies.
Contextual focus: Emphasizes emerging tech and practical solutions.
Actionable output: Requests summaries and titles to spark execution.
Tone and style: Guides the type of content (insightful, engaging, relevant).
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