LATEST AI NEWS

AI NEWS
Google Adds Automated Workflow Creation to Opal

AI NEWS
Anthropic Launches Remote Control for Claude Code

HEALTH
Oura Adds Women’s Health Model to AI Chatbot

SOCIAL MEDIA
Google ‘Deeply Sorry’ After Push Alert Drops Racial Slur

AI-Generated Video Controversy:

ByteDance’s new Seedance 2.0 generative video tool, known for viral clips of AI versions of Tom Cruise and Brad Pitt, draws both praise for its realism and sharp criticism from Hollywood studios over copyright and “slop”-style output

Source: The Verge

AI NEWS

Google Adds Automated Workflow Creation to Opal

Google has introduced a new feature to its experimental AI workspace tool, Opal, enabling users to create automated workflows with simple prompts. The update, reported by TechCrunch, positions Opal as a lightweight automation builder designed for non-technical users. With this launch, Google aims to simplify how individuals and small teams orchestrate repetitive digital tasks using natural language instead of code.

The new workflow capability allows users to describe a goal — such as summarizing emails, updating spreadsheets, or generating reports — and have Opal automatically assemble a multi-step process. Users can connect different tools and data sources within a visual builder interface, adjusting logic and triggers without writing scripts. The system translates plain-English instructions into structured automation flows, lowering the barrier to entry for productivity automation.

Notably, Opal blends conversational AI with modular building blocks. Users can stack prompts, condition-based actions, and outputs into reusable sequences. The interface reportedly includes templates to accelerate common workflows, along with customization options for advanced users who want greater control. By combining AI reasoning with a drag-and-drop framework, Google is positioning Opal somewhere between chat-based assistants and full-scale automation platforms.

This move reflects a broader industry trend toward no-code AI tools that empower everyday professionals rather than developers alone. As generative AI becomes embedded in work software, companies are racing to make automation intuitive and accessible. For Google, Opal’s workflow feature could strengthen its productivity ecosystem and offer an alternative to specialized automation tools.

The feature is currently rolling out in limited access, with broader availability expected as Google refines performance and integrations.

Source: Tech Crunch

Robi’s Insights:

  • Users can automate repetitive digital tasks without learning scripting languages, making productivity tools more accessible.

  • Small teams gain faster setup for workflows, reducing reliance on IT support or external automation platforms.

  • Natural language workflow building lowers experimentation costs, encouraging users to test new productivity ideas.

  • Templates and modular blocks can help professionals standardize recurring processes across projects.

  • Integration within Google’s ecosystem may streamline cross-app collaboration for everyday work tasks.

  • As AI handles more coordination tasks, users can focus more on decision-making rather than manual execution.

Robi’s Remarks:

“Every tech giant now believes the future of productivity is “just describe your dream and we’ll automate it.” We’ve gone from learning to code to learning how to politely delegate to software. The real skill in 2026? Prompt-based management.”

OTHER IN AI NEWS

Anthropic Launches Remote Control for Claude Code: Anthropic has introduced Remote Control for Claude Code, allowing users to seamlessly hand off active terminal tasks to their phone or browser for on-the-go management.

Source: X Post

SOCIAL MEDIA

Google ‘Deeply Sorry’ After Push Alert Drops Racial Slur

Google is apologizing after a push notification sent through its Discover feed included a racial slur, telling users it was “deeply sorry” for the message and blaming the incident on a system error. The notification, which appeared on users’ phones, contained offensive language before being quickly pulled, and Google says it is investigating how it slipped through its automated processes. The company did not detail exactly what triggered the alert but emphasized that the content does not reflect its values and that safeguards are being reviewed.

In other words, one of the most powerful tech companies on Earth, armed with planet-scale AI and a trillion-dollar market cap,

somehow managed to blast a slur straight into people’s lock screens. It’s 2026, we’re promised helpful generative assistants that can summarize court rulings and write sonnets, yet the humble push notification still can’t clear the very low bar of “don’t send hate speech.” Google says it’s working to prevent it from happening again, which is corporate for “we also cannot believe this happened.” For a company that lectures the world about responsible AI, the irony is doing backflips. When your algorithm can autocomplete emails but not basic decency, maybe the real bug isn’t the code but the confidence. Silicon Valley remains undefeated at self-owns. Again, spectacularly.

Source: BBC

🤖 Robi’s Take :

“The modern AI stack can predict trends, generate art, and optimize supply chains, yet somehow still needs a reminder about basic human decency. Progress is exponential; common sense remains in limited release.”

OTHER IN SOCIALS

YouTube Premium Lite Adds Background Play & Offline Downloads: YouTube is rolling out background playback and offline video downloads to its Premium Lite subscription, closing a key feature gap with the full Premium plan.

Source: Youtube

HEALTH

Oura Adds Women’s Health Model to AI Chatbot

Oura has introduced a women’s health model within its AI-powered chatbot, expanding personalized insights for menstrual cycles, fertility, and hormonal changes. The update integrates cycle tracking data with biometric signals captured by the Oura Ring, aiming to deliver more tailored guidance to users.

The company says the feature builds on its existing Readiness, Sleep, and Activity scores by adding context about hormonal fluctuations. By analyzing temperature trends, heart rate variability, and self-reported cycle information, the chatbot can answer questions about symptoms, predict upcoming phases, and explain how physiology may influence energy or recovery.

Oura developed the model using aggregated, anonymized data and clinical research on menstrual health, positioning the tool as educational rather than diagnostic.

The chatbot is designed to surface evidence-based explanations while reminding users that it does not replace medical advice. According to Oura, the addition reflects growing demand for women-specific analytics in wearable technology.

The rollout arrives as digital health companies compete to embed generative AI into consumer devices, transforming raw sensor data into conversational insights. By centering women’s health, Oura signals a broader push toward inclusive design and preventative care. The company plans continued updates to refine accuracy and expand reproductive health capabilities.

Industry analysts note that expanding AI into reproductive health could deepen user engagement while raising ongoing questions about data privacy, transparency, and regulatory oversight in sensitive wellness applications across global markets.

Source: Ouraring

🤖 Robi’s Take :

“Wearables are evolving from step counters to full-time life narrators. Soon your ring won’t just track your sleep, it’ll explain your mood, your energy, and possibly your last text message. Self-awareness, now with firmware updates.”

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PROMPT OF THE DAY

Customer Journey Mapping Excellence

Prompt: You are a customer experience strategist specializing in creating detailed customer journey maps that identify pain points and optimization opportunities. Your task is to develop a comprehensive customer journey mapping framework for a [business type or niche] selling [product or service] across [channels such as website, mobile app, social media] to [describe target audience].

Your framework should include: (1) identification of all customer touchpoints from awareness to advocacy, (2) emotional mapping and pain point analysis at each stage, (3) data collection methods to validate journey assumptions, (4) cross-functional collaboration strategies for implementation, (5) optimization recommendations based on journey insights, and (6) metrics to measure journey effectiveness including satisfaction scores, conversion rates, and customer lifetime value. The framework must be actionable for teams of any size.

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