Your Guide To What is Generative AI

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  • From Scroll to Shop: How AI is Personalizing Every Mobile Touchpoint

    Picture this: you’re unlocking your phone for the 60th time today, not looking for anything in particular. Then, without opening an app or typing a word, you see it—a look that feels made for you. The colors match your mood, the fit flatters your frame, and the style aligns perfectly with your weekend vibe.

    You weren’t shopping. But you just started.

    Welcome to the world of AI personalized shopping journeys, where Glance AI is leading a quiet revolution—turning idle moments into emotionally intelligent commerce touchpoints. This isn’t ecommerce as usual. It’s curated discovery layered into the rhythms of mobile life.

    In this blog, we unpack how Glance’s lock screen-powered, visual-first, and behavior-responsive ecosystem transforms every scroll, swipe, and pause into a personalized shopping experience—and why this model is setting the tone for the future of mobile AI shopping.

    For the full strategy, don’t miss the AI Shopping Guide, which details how Glance is building AI-native, zero-click commerce from the ground up.

    Why Mobile Shopping Needed a Rethink

    Let’s be honest—shopping on mobile can be exhausting.

    You open an app. Wait for it to load. Type in something vague like “nice summer top.” Scroll past 57 items that don’t look or feel right. Apply a few filters. Still too many results. You give up.

    And you’re not alone. Studies show that over 80% of users abandon mobile shopping journeys mid-scroll due to friction, decision fatigue, or irrelevant results (Baymard Institute).

    This is exactly what AI-powered personalization fixes.

    By learning from micro-interactions (scroll speed, tap patterns, dwell time), AI doesn’t just recommend products—it recognizes patterns of interest. It anticipates what you might want next and presents it before you even go looking.

    With Glance, that presentation happens the moment you unlock your phone.

    The mobile screen isn’t just an entry point anymore. It’s the experience itself.

    The Power of the Lock Screen: Discovery Without Effort

    Glance AI does something radically different: it turns your phone’s lock screen into a personalized style feed.

    Think of it as your daily fashion magazine—AI-curated, refreshingly visual, and context-aware.

    Here’s what makes it revolutionary:

    • No app open required

    • No login friction

    • No overwhelming grids of products

    Each time you unlock your phone, you’re met with 3–5 styled looks. These aren’t static product images—they’re full-blown editorial layouts styled around your:

    • Body type

    • Aesthetic persona (festive, bold, minimalist, etc.)

    • Engagement history (what you liked, saved, or paused on)

    And the data supports the design. According to Glance’s internal reports, user actions like “Add to Lock Screen,” “Buy Now,” and downloads have steadily increased, showing strong behavioral alignment with visual-first content.

    It’s not just about saving time. It’s about aligning with attention—those first few seconds where curiosity beats intent.

    AI Personas: Why the Algorithm Feels More Like a Stylist

    Personalization isn’t new. But Glance gives it a face—yours.

    Onboarding begins with a selfie, followed by quick selections for:

    • Body type

    • Hair type

    • Skin tone

    • Style preferences (casual, bold, ethnic, etc.)

    This builds your AI persona, which Glance’s algorithm uses as a foundation to:

    • Style complete outfits

    • Recommend color palettes and silhouettes

    • Tailor looks to your real-life proportions—not just trends

    And it’s not static. Your persona evolves based on how you interact. Download more ethnic looks during the festive season? Expect more fusion wear. Scroll past bold prints? You’ll start seeing cleaner aesthetics.

    It’s not guesswork. It’s machine learning modeled after human taste.

    This kind of adaptive personalization has a massive impact. Shopify reports that retailers using AI personalization see up to 150% higher conversions and 40% larger cart sizes (Shopify Plus).

    Visual UX That Converts—Without Feeling Like Shopping

    Gen Z and millennial shoppers don’t want to “go shopping.” They want to feel inspired.

    That’s why Glance replaces the traditional ecommerce grid with scrollable, full-screen lookbooks. Each layout feels like a social carousel—beautifully styled, effortless to consume, and always tappable.

    What you’ll see:

    • A model styled according to your persona

    • Tappable product tiles (e.g., shirt, jeans, earrings)

    • CTA buttons like “Shop This Look,” “Try This On,” or “Save to Lock Screen”

    There’s no filter maze. No dropdown menus. Just fluid motion from inspiration to interaction.

    It feels more like flipping through Instagram stories than using a shopping app. And that’s the point.

    Glance mirrors how digital-native users consume content—aesthetic-first, low-effort, highly shareable.

    Scroll Behavior = Intent Signal: How Glance AI Learns

    Here’s where the AI earns its magic.

    Every user gesture—however subtle—is a signal.

    • Pause for more than 2 seconds on a look? That’s interest.

    • Tap a product tile? That’s preference.

    • Scroll quickly past? That’s disinterest.

    Glance AI logs these signals in real time and reweights your persona accordingly.

    This behavioral loop means:

    • Your lookfeed improves with every use

    • The AI gets smarter even if you don’t tap or buy

    • Looks get more relevant without becoming repetitive

    And this isn’t just user-friendly. It’s commercially powerful.

    McKinsey estimates that personalization at scale can lift revenues by 10–30% and reduce acquisition costs by up to 50% (McKinsey & Company).

    Glance makes that scalable—across tens of millions of devices, without requiring login credentials or app installations.

    From Discovery to Checkout in One Tap

    One of the biggest friction points in mobile commerce? Checkout.

    Too many clicks. Too much hesitation. Not enough confidence.

    Glance solves this with:

    • One-tap “Buy Now” buttons integrated into lookbooks

    • Shop the Look flows that bundle items into ready-to-buy edits

    • Upcoming AI virtual try-on shopping to reduce fit anxiety and improve purchase confidence

    These design elements don’t just shorten the funnel. They eliminate it.

    Because the journey doesn’t feel like a funnel anymore—it feels like scroll, feel good, tap, done.

    For mobile users with shrinking attention spans, this UX is crucial. According to Google, 53% of mobile users abandon sites that take longer than 3 seconds to load, and conversion drops 12% for every second of delay (Think With Google).

    Glance reduces decision time—not by rushing you, but by removing cognitive load.

    Case Study: The Lock Screen to Cart Experience

    Let’s say Ayesha, a 23-year-old student in Pune, unlocks her phone during a lecture break. Glance shows her a festive Indo-Western look styled for her exact body type and aesthetic profile.

    • She pauses on the look for 4 seconds.

    • Taps the jhumka tile.

    • Hits “Shop Similar” for a more affordable version.

    • Saves the look to her lock screen.

    • Buys it later that evening, all from the same screen.

    This is scroll-to-shop at its most seamless.

    Ayesha didn’t search. She didn’t browse. She discovered, engaged, and converted—without leaving her natural mobile flow.

    Multiply this by millions of users, and you have a commerce engine not driven by ads, but by emotional relevance.

    How This Expands Glance’s AI Shopping Ecosystem

    Glance’s lock screen personalization is just one surface in its expanding AI commerce ecosystem.

    According to the AI Shopping Guide, Glance is also investing in:

    • AI look generation for connected TVs

    • Voice-led fashion prompts

    • Try-on overlays using AR and body mapping

    • Cross-device style syncing between mobile and TV

    All of this ties back to one central principle: contextual commerce delivered in the moment of intent—or before it.

    That’s what makes Glance an AI-native shopping platform—not just a feature layer on top of ecommerce.

    Conclusion: Scrolls Are the New Searches

    Shopping doesn’t begin with intent anymore.

    It begins with a scroll, a swipe, or a pause. It begins when something just feels right—before we’ve even realized we were looking for it.

    That’s the superpower of AI personalized shopping journeys. And Glance is building the blueprint.

    By embedding smart discovery into mobile behaviors—without interrupting them—Glance transforms every device into a visual stylist, moodboard, and shoppable canvas.

    Want to see how this personalization strategy scales across connected TVs, virtual try-ons, and voice-led commerce?

    Read the full AI Shopping Guide for more trends, features, and strategic insights.

    Because in the era of AI commerce, the best stores?

    Aren’t on websites. They’re in your scroll.

  • AI for E-Commerce Logistics: Improving Efficiency

    Behind every instant delivery, seamless return, and perfectly timed order is a complex logistical engine—and AI is quickly becoming the brain that keeps it running.

    As Indian e-commerce accelerates, logistics isn’t just a support function. It’s the battleground for customer loyalty and business growth. And in a country where traffic, geography, and purchasing behavior vary widely, AI in logistics isn’t a nice-to-have—it’s survival tech.

    From predictive stocking and dynamic route planning to real-time last-mile coordination, AI is redefining what supply chain agility looks like. This blog unpacks how AI is improving efficiency in logistics, one smart signal at a time—and how Glance.com is designing a future where delivery is not just fast, but frictionless.

    👉 For a complete view of how AI is transforming e-commerce across personalization, support, discovery, and fulfillment, check our AI in E-Commerce Pillar Page

    1. Demand Forecasting: Predict Before You Run Out

    Inventory issues are where great shopping experiences go to die. Out of stock? Late delivery? Over-purchased dead stock? All of it stems from misjudging demand. That’s where AI-powered demand forecasting steps in.

    Using historical sales, market trends, festival data, regional events, and even weather patterns, AI models can predict which products will spike in demand—when, where, and in what quantities.

    For instance, in the lead-up to Diwali, AI might detect surging interest in ethnic wear in Delhi and Bluetooth speakers in Pune. It can then alert retailers to stock up, shift inventory to local hubs, and prep the supply chain accordingly.

    Brands using predictive AI in logistics often see a 30–50% drop in stockouts and improved warehouse turnover. Glance partners with such brands to surface in-stock, ready-to-ship looks based on what’s trending and available.

    Because in modern e-commerce, knowing before the buyer clicks is the ultimate efficiency.

    2. Smart Warehousing: Faster, Smarter Fulfillment

    The modern warehouse isn’t just racks and forklifts—it’s a data-rich, sensor-filled hub powered by AI.

    Smart warehouses use AI to optimize storage layouts, predict pick patterns, trigger automated restocking, and assign human workers more efficiently. Think: robotic arms that know which bin to pick, vision systems that detect damaged items instantly, and predictive maintenance that fixes downtime before it happens.

    In India, where mega-warehouses must serve both metro and rural zones, warehouse speed and intelligence are critical. Brands like Amazon India and Flipkart are investing in AI to increase their throughput without growing physical space.

    Glance-style product discovery tools integrate with inventory APIs to show only products that are ready to move—ensuring user interest matches warehouse readiness.

    This syncing of content and capacity turns inspiration into action, instantly.

    3. Route Optimization: Every Second Counts

    In logistics, the last mile is often the costliest and most unpredictable. AI is solving that with dynamic route optimization—using live data on traffic, road conditions, delivery loads, and location clusters to create the best possible delivery path.

    Instead of fixed delivery lists, drivers get AI-curated sequences that reduce travel time, fuel usage, and failed deliveries. If an address is unreachable or a customer isn’t home, AI reassigns that package in real-time to an alternate rider or slot.

    In India, where addresses can be vague (“second left after temple”) and traffic unpredictable, this kind of smart rerouting is gold. AI can even learn patterns—like which buildings cause frequent delays—and pre-plan accordingly.

    Platforms like Locus.sh and FarEye lead this space, helping top Indian retailers improve last-mile metrics. Glance’s logistics partners use these engines to ensure products in AI Looks actually arrive on time—because style waits for no one.

    4. Real-Time Tracking and Transparency

    It’s 2025. No one wants to be told, “Your order is processing.” We want to know where, when, and how fast. AI makes that possible.

    By integrating GPS, warehouse systems, and delivery partner data, AI can provide real-time updates to both consumers and operations teams. But it’s more than just a dot on a map. AI can:

    • Predict exact delivery windows 
    • Detect anomalies (e.g., delivery boy stuck too long at one stop) 
    • Escalate delays automatically 
    • Offer alternate slots when issues arise 

    Transparency builds trust. When Glance users interact with AI-powered commerce tiles, they’re not just shown a product—they’re shown expected delivery, stock levels, and returnability, all powered by backend logistics AI.

    This data-first transparency reduces anxiety, improves NPS, and makes people come back—not just for what’s being sold, but for how it’s delivered.

    5. Reverse Logistics: Smarter Returns, Less Waste

    Returns are expensive. But they’re also inevitable. AI can’t stop people from changing their mind—but it can make the process smoother, faster, and more sustainable.

    Using AI, platforms can:

    • Predict likelihood of returns based on order history 
    • Flag customers with high return-to-order ratios 
    • Recommend sizing or product tips pre-purchase to reduce returns 
    • Assign optimal pickup times and routing for reverse logistics 

    Once a product is returned, AI assesses if it can be restocked, repaired, or recycled—automatically tagging it for the right bin or process.

    Glance integrates with return-aware APIs that reduce friction in post-purchase experiences. For fashion items, AI can suggest alternate fits or similar in-stock products before the return is finalized.

    Smarter returns = lower costs + happier customers + greener operations.

    6. AI-Driven Carrier Allocation and Partner Management

    Most e-commerce platforms don’t own the entire logistics chain—they work with a patchwork of courier partners. AI helps them choose wisely.

    Based on real-time performance metrics, location coverage, past delays, and RTO rates, AI allocates shipments to the best partner for each pincode or package type. This reduces failed deliveries, cuts costs, and improves delivery timelines.

    Platforms like Shiprocket use AI carrier selection tools to optimize this process across thousands of orders daily. For Glance users, this means the AI-generated look you fell in love with isn’t just assigned randomly—it’s handed to a partner most likely to deliver it on time.

    Over time, AI models even learn how to nudge partners to improve—flagging patterns like frequent damage reports or poor OTP compliance.

    It’s supply chain matchmaking, at algorithmic scale.

    7. Sustainability and Carbon Optimization

    Speed is great—but not if it burns the planet.

    As sustainability moves from buzzword to boardroom mandate, AI is helping e-commerce brands reduce emissions without slowing service. AI can:

    • Consolidate deliveries to minimize trips 
    • Suggest EV delivery options when available 
    • Recommend greener packaging choices based on product dimensions 
    • Forecast carbon footprint per order 

    Platforms like LogiNext and Shipsy offer carbon analytics dashboards powered by AI. Brands can track, compare, and report their environmental impact accurately.

    Glance plans to surface eco-friendly lookbooks in the near future—tagging products with better sustainability scores, using AI-calculated metrics.

    Green logistics is no longer a “nice to have.” It’s a retention tool. Today’s conscious consumer notices.

    Conclusion: AI Is the New Engine of E-Commerce Efficiency

    Efficiency isn’t about working harder. It’s about working smarter. AI in logistics delivers that intelligence—turning reactive chains into proactive ecosystems.

    Whether it’s predicting what to stock, deciding who should deliver it, or optimizing how fast it arrives, AI is reducing waste, saving time, and delighting customers at scale.

    And in India’s high-volume, high-variance retail landscape, that intelligence is the difference between staying relevant and falling behind.

    At Glance, our vision is simple: style that finds you, backed by a logistics layer that never lets you down. Because fashion isn’t just about how it looks—it’s about how fast it gets to your doorstep.

    👉 Want to see how logistics is just one part of the AI-commerce revolution? Visit our full AI in E-Commerce Pillar Page

    Because the future isn’t coming. It’s already en route.

  • The Ultimate Guide to Casting and Screen Mirroring on Android TV

    From Small Screen to Big Screen Bliss

    You’ve got that great video, those amazing photos from your trip, or maybe a presentation you want to share, all sitting on your phone or laptop. Wouldn’t it be great to see it on your big, beautiful Android TV screen? Good news – it’s easier than ever!

    Most Android TVs (and Google TVs, which run on the Android TV OS) come with built-in features that let you wirelessly display content from your other devices. The two main ways to do this are Casting and Screen Mirroring. While they sound similar, they work differently. This android tv casting guide will explain both, show you the different screen mirror android tv methods, and help you choose the best way to share your content.  

    Casting vs. Screen Mirroring: What’s the Difference?

    Understanding this distinction is key to choosing the right method:

    • Casting (using Chromecast built-in):
      • What it does: When you “cast” from an app (like YouTube, Netflix, Hotstar, JioCinema, Spotify), your phone essentially tells the TV what content to play directly from the internet. The TV takes over the streaming.
      • Pros: Frees up your phone (you can use other apps, make calls, or even turn off the screen), saves phone battery, often provides better quality as the TV streams directly.
      • Cons: Only works with apps that have the “Cast” icon integrated. Doesn’t show your phone’s entire screen or apps not designed for casting.
      • Analogy: It’s like sending your friend a link to a YouTube video. They open and watch it on their device, independent of yours.
    • Screen Mirroring (or Screen Casting/Smart View/Wireless Display):
      • What it does: This duplicates exactly what’s on your phone, tablet, or computer screen onto the TV in real-time. If you swipe on your phone, you see it on the TV.
      • Pros: Shows anything on your device screen (photos, websites, documents, apps without a Cast button, presentations). Good for demos or sharing content not available in specific apps.
      • Cons: Uses more phone battery, your phone screen needs to stay on and active, can sometimes have slight lag, notifications from your phone will appear on the TV.
      • Analogy: It’s like holding up a mirror to your phone screen for everyone to see.

    Which to use?

    • For streaming video or music from apps like YouTube, Netflix, Hotstar, Spotify, etc. –> Casting is usually better.  
    • For showing photos stored on your phone, Browse websites, giving presentations, or using apps without a Cast button –> Screen Mirroring is the way to go.

    Method 1: Casting with Chromecast built-in (The Easiest Way for Apps)

    Most Android TVs have Chromecast built-in, making this super simple.  

    1. Connect to Wi-Fi: Ensure your phone/tablet and your Android TV are connected to the same Wi-Fi network. This is crucial.
    2. Open a Cast-Enabled App: Launch an app that supports casting (e.g., YouTube, Netflix, Hotstar, Gaana, Spotify, Google Photos).  

     

    1. Find the Cast Icon: Look for the Cast icon within the app. It usually looks like a rectangle with Wi-Fi waves in the corner ( ). It might be near the top or bottom of the app, or appear when you start playing content.
    2. Select Your TV: Tap the Cast icon. A list of available devices on your network will appear. Select the name of your Android TV.
    3. Cast Your Content: The Cast icon will change color (often becoming solid) to indicate it’s connected. Now, when you play a video or music in the app, it will play on your TV instead of your phone. You can use your phone to control playback (pause, play, volume).  
    4. Stop Casting: Tap the Cast icon again within the app and choose “Disconnect” or “Stop Casting.”

    Method 2: Screen Mirroring from Your Android Phone

    This mirrors your entire phone screen. The exact steps and names might vary slightly depending on your phone brand (e.g., Samsung calls it “Smart View,” others might call it “Screen Cast,” “Wireless Projection,” or just “Cast”).

    1. Connect to Wi-Fi: Make sure your phone and Android TV are on the same Wi-Fi network.
    2. Find the Mirroring Option:
      • Quick Settings: Swipe down from the top of your phone screen to open the Quick Settings panel. Look for an option labelled “Screen Cast,” “Cast,” “Smart View,” “Wireless Display,” or similar. You might need to swipe sideways or edit the Quick Settings panel to find it.
      • Settings Menu: Alternatively, go to your phone’s Settings app and look under “Connected devices,” “Connections,” “Network & Internet,” or a similar section for a “Cast” or “Screen Mirroring” option.  
      • Google Home App: Open the Google Home app, select your Android TV device from the list, and tap the “Cast my screen” button at the bottom.  
    3. Select Your TV: Once you tap the mirroring option, your phone will search for compatible devices. Select your Android TV from the list.  
    4. Start Mirroring: You might see a prompt asking for permission to start casting/recording. Tap “Start now” or “Allow.” Your phone screen should now appear on your TV.
    5. Stop Mirroring: Go back to the same Quick Settings tile or Settings menu option (or the Google Home app) and tap your TV’s name again, then select “Disconnect.”

    Method 3: Casting/Mirroring from Your Laptop (Chrome Browser)

    You can easily share a browser tab or your entire desktop from a laptop using Google Chrome.  

    1. Connect to Wi-Fi: Ensure your laptop and Android TV are on the same Wi-Fi network.
    2. Open Chrome: Launch the Google Chrome browser on your laptop.
    3. Click the Cast Menu: Click the three vertical dots (⋮) in the top-right corner of Chrome.
    4. Select “Cast…”: Choose “Cast…” from the dropdown menu.
    5. Choose Your Source: A small “Cast tab” window will appear. Click the “Sources” dropdown menu at the bottom. You can choose:
      • Cast tab: Mirrors only the current browser tab.
      • Cast screen: Mirrors your entire laptop desktop.
      • Cast file: Lets you cast local audio or video files.
    6. Select Your TV: Click the name of your Android TV from the list of available devices.
    7. Start Sharing: Your selected source (tab or screen) will appear on the TV.
    8. Stop Casting: Click the active Cast icon (usually blue) in your Chrome toolbar (near the address bar) and select your TV again, or simply close the casted tab/window if casting a tab.

    Troubleshooting Common Issues

    Having trouble? Here are quick fixes:

    • Check Wi-Fi: This is the most common issue. Double-check that both your casting device (phone/laptop) and your Android TV are connected to the exact same Wi-Fi network. If you have a dual-band router (2.4 GHz and 5 GHz), try connecting both devices to the same band (usually 5GHz is better if range isn’t an issue).
    • Restart Devices: A simple restart often fixes temporary glitches. Reboot your phone/laptop, your Android TV, AND your Wi-Fi router (unplug it for a minute, then plug it back in).
    • Check Chromecast built-in App (on TV): Sometimes the underlying service needs a nudge. On your TV, go to Settings > Apps > See all apps > (Show system apps if needed) > find “Chromecast built-in” (or similar like “Google Cast Receiver”). Ensure it’s enabled. You can also try clearing its cache/data and restarting the TV.
    • Updates: Make sure your phone’s operating system, the apps you’re trying to cast from, and your Android TV’s system software are all up-to-date.
    • Device Visibility: Ensure your TV is discoverable on the network. Sometimes router settings like “AP Isolation” can prevent devices from seeing each other; check your router’s manual if problems persist.

    Glance: Different Ways to Interact with Your TV Screen

    Casting and screen mirroring are fantastic ways to actively push content from your personal devices onto your Android TV for shared viewing or a bigger display. It puts you in control of bringing specific content to the screen.

    Understanding these interaction methods is part of grasping the full potential of your smart TV. At Glance, we explore different ways to make your TV screen more engaging. While you use casting or mirroring to actively show content, Glance TV (a smart surface for connected TVs) takes a different approach – using the TV’s idle time to proactively bring personalized, ambient content discovery directly to the screen, powered by AI. It’s about making the screen useful and interesting even when you aren’t actively pushing content to it. Both casting/mirroring and ambient experiences like Glance TV leverage the capabilities of the Android TV platform in unique ways.  

    For more tips and tricks related to casting and the Chromecast ecosystem, explore Glance’s guide here: 

    Conclusion: Enjoy the Big Picture!

    Whether you’re casting a movie from Hotstar, mirroring your photo gallery, or sharing a presentation from your laptop, your Android TV offers versatile ways to break free from the small screen. By understanding the difference between casting and the various screen mirror android tv methods, and knowing the basic troubleshooting steps, you can easily share and enjoy your content on the best display in your house. So go ahead, cast away, and enjoy the big picture!

  • Unlocking Your Android TV’s Potential: Tips Beginners Don’t Know

    If you’ve just brought home an Android TV, congratulations—you’re now sitting on a powerful entertainment hub. But here’s the thing: most users only scratch the surface of what Android TV can do.

    Whether you’re a streaming junkie, a casual viewer, or a curious beginner, this guide will help you get the most out of your Android TV. Packed with smart, lesser-known tips, we’ll show you how to optimize your setup, personalize your experience, and tap into features you didn’t know existed.

    Let’s dive in and turn your living room into a smart entertainment powerhouse.

    Why Android TV Stands Out

    Android TV is more than just a smart interface. Powered by Google, it gives you access to:

    • Google Play Store apps tailored for TV

    • Voice search with Google Assistant

    • Built-in Chromecast

    • Seamless integration with your phone and smart home devices

    But how do you actually use all of this? Let’s start unlocking.

    1. Use Voice Search Like a Pro

    Most Android TV remotes come with a microphone button. Hold it down and say things like:

    • “Play action movies on Netflix”

    • “What’s the weather today?”

    • “Open YouTube”

    It’s not just for show—voice search can speed up your browsing and even control your smart home devices if synced with Google Home.

    2. Install Hidden Gem Apps

    Everyone knows Netflix and YouTube. But the Google Play Store on Android TV hides some gems that elevate your experience:

    • Plex – Organize your personal media collection

    • Kodi – Open-source entertainment hub for power users

    • Steam Link – Stream PC games to your TV

    • Google Drive or File Commander – Access files directly on your TV

    💡 Pro Tip: You can even sideload Android apps not available in the Play Store if you’re feeling adventurous (just be cautious about sources).

    3. Customize Your Home Screen

    Make your Android TV home screen yours:

    • Move your favorite apps to the front row

    • Disable rows you don’t use (like promoted content)

    • Enable “Watch Next” to queue your shows across platforms

    A clean, personalized interface makes your experience much smoother.

    4. Pair Your Phone as a Remote

    Lost the remote? No problem. The Google TV app (available on Android and iOS) lets you use your phone as a full-function remote—including a keyboard for faster searches.

    It’s also a great backup if your remote batteries die mid-movie.

    5. Cast Content Directly from Your Phone

    Thanks to built-in Chromecast, you can cast YouTube videos, photos, or even presentations from your phone or laptop to your Android TV.

    No cables, no hassle—just tap the cast icon and enjoy the big screen.

    6. Clear Cache to Speed Things Up

    Is your Android TV lagging? Free up space and speed things up by clearing cache:

    Settings > Apps > [Select App] > Clear Cache

    Apps like streaming platforms can accumulate a lot of temporary data. A monthly cleanup keeps your system running smoothly.

    7. Enable Developer Options (Advanced)

    Want deeper control? Go to:

    Settings > Device Preferences > About > Tap “Build” 7 times

    This unlocks developer options, where you can tweak animations, monitor performance, and even install apps via USB. Ideal for tech enthusiasts.

    8. Use Glance for Smart Content Recommendations

    Did you know Glance is working on next-gen Android TV experiences?

    From personalized recommendations on your lock screen to curated content for your smart TV, Glance helps you discover more with less scrolling. Whether you’re into trending shows, quick news, or regional content, Glance is crafting a smarter way to watch.

    👉 Learn more: Explore Glance’s Android TV features

    9. Turn Your TV into a Smart Home Hub

    With Google Assistant, your Android TV can control lights, thermostats, and even robot vacuums. Just say:

    “Turn off the living room lights”
     “Set the AC to 24 degrees”

    It’s not just a TV—it’s a part of your smart home.

    10. Set Data Usage Limits

    Streaming in HD can eat up a lot of data. Android TV lets you set data limits (especially useful for mobile hotspot users):

    Settings > Network & Internet > Data Saver

    You can also restrict background data for apps to save even more.

    Final Thoughts: Make Your Android TV Work for You

    Android TV is full of features waiting to be discovered. Whether you’re customizing your home screen, unlocking developer mode, or exploring new apps, each tip brings you closer to a better, smoother, and smarter TV experience.

    And with platforms like Glance bringing intelligent content curation and visual discovery to Android TVs, your screen time can be more exciting and effortless than ever.

  • The Future of Content Creation in the Age of Generative AI

    Scroll through your news feed, browse online stores, or even interact with customer service – chances are, you’re increasingly encountering content created or assisted by Artificial Intelligence. Generative AI, the technology that can produce human-quality text, images, code, and more from simple prompts, is no longer a futuristic concept. It’s here, and it’s fundamentally changing the way content is made and consumed, sparking both excitement and questions about the ai content creation future.

    For creators, marketers, and businesses in India and globally, this shift presents incredible opportunities and new challenges. How will roles evolve? What skills will be most valuable? And how can we leverage these powerful new tools effectively? This article explores the evolving world of content creation in the age of AI, dives into the capabilities of generative AI writing tools, and considers how platforms like Glance are navigating this dynamic landscape.

    What’s Powering the Change? A Quick Look at Generative AI Tools

    Generative AI models learn patterns from vast amounts of data to create entirely new outputs. Think of tools like ChatGPT, Google Gemini, Claude, or image generators like Midjourney and Stable Diffusion. These generative ai writing tools (and their visual counterparts) can:

    • Draft Content: Write blog posts, articles, emails, social media updates, and ad copy.
    • Brainstorm Ideas: Generate headlines, topic suggestions, and creative angles.
    • Summarize Information: Condense long documents or articles into key points.
    • Translate Languages: Break down communication barriers.
    • Generate Code: Assist developers in writing and debugging software.
    • Create Images & Designs: Produce unique visuals from text descriptions for marketing, presentations, or concept art.

    The speed and scale at which these tools operate are unprecedented, allowing for content production at a volume previously unimaginable.

    The Rise of the AI Co-Pilot: Augmenting Human Creativity

    One of the biggest discussions surrounding the AI content creation future is whether AI will replace human creators. While certain tasks might become automated, the more likely scenario is a shift towards collaboration: AI as a powerful co-pilot, augmenting human skills rather than replacing them entirely.

    Here’s how creators are adapting:

    • From Writer to Editor/Prompter: Instead of starting with a blank page, creators might use AI to generate a first draft, then focus their efforts on refining, fact-checking, adding unique insights, and ensuring the tone and style are perfect. Crafting effective prompts to guide the AI becomes a crucial new skill.
    • Overcoming Creative Blocks: AI tools are excellent brainstorming partners, suggesting ideas or alternative phrasings when inspiration runs dry.
    • Boosting Efficiency: Repetitive content tasks, like writing multiple versions of ad copy or generating basic product descriptions, can be offloaded to AI, freeing up humans for more strategic and creative work.
    • Personalization at Scale: AI can help tailor content variations for different audience segments much faster than manual methods allow.
    • Democratizing Creation: Individuals who aren’t professional writers or designers can use AI tools to bring their ideas to life more easily.

    The focus shifts from pure generation to strategic direction, critical evaluation, and adding the irreplaceable human touch – empathy, nuanced understanding, and authentic voice.

    Beyond Text: AI’s Expanding Creative Palette

    While generative ai writing tools often grab headlines, the revolution spans multiple formats. AI image generation is transforming marketing visuals and concept art. AI video tools are emerging that can create short clips or animations. AI audio tools can generate voiceovers or background music.

    This multi-modal capability hints at a future where content is richer, more dynamic, and potentially generated in real-time based on user interaction or preference. Imagine personalized video summaries of news articles or interactive product demonstrations generated on the fly – possibilities that platforms delivering diverse content need to consider.

    Navigating the New Terrain: Challenges and Considerations

    Despite the excitement, the path forward requires careful navigation. Key challenges include:

    • Accuracy & Reliability: AI models can “hallucinate” – produce inaccurate or nonsensical information. Rigorous fact-checking and human oversight remain essential.
    • Originality & Copyright: The legal frameworks surrounding AI-generated content ownership and plagiarism are still evolving.
    • Authenticity & Bias: AI learns from existing data, which can contain biases. Ensuring outputs are fair, unbiased, and maintain a brand’s unique voice requires careful management.
    • The “Human Element”: AI struggles with genuine empathy, deep context, complex emotional nuance, and drawing from unique lived experiences – qualities that often make content truly compelling.

    Successfully integrating AI means leveraging its strengths while mitigating its weaknesses through human expertise and ethical considerations.

    AI Content Creation Future: What Lies Ahead?

    The evolution is far from over. We can anticipate:

    • More Sophisticated & Integrated Tools: AI capabilities will become more powerful and seamlessly integrated into existing software (word processors, design suites, marketing platforms).
    • Hyper-Personalized Content Creation: AI enabling the generation of content tailored not just to segments, but potentially to individual users in real-time.
    • New Content Formats: Emergence of entirely new, AI-native forms of interactive and adaptive content.
    • Evolving Skillsets: Increased demand for prompt engineering, AI ethics expertise, data analysis, and creative strategy alongside traditional content skills.
    • Impact in India: For a rapidly digitizing country like India, these tools offer immense potential for businesses to scale content, for creators to reach wider audiences, and for consumers to experience more personalized digital interactions.

    Glance: Embracing the Evolving Content Ecosystem

    As a platform dedicated to delivering personalized content and experiences directly to your lock screen and potentially your Android TV, Glance is deeply engaged with the AI content creation future. The rise of Generative AI impacts the very nature, volume, and variety of content available in the digital ecosystem that Glance curates.

    We see AI not just as a tool for our platform’s personalization engine, but as a force reshaping the entire content landscape. Understanding how content is being created using tools like generative ai writing tools and visual generators is crucial for ensuring Glance continues to surface high-quality, relevant, and engaging information and entertainment for users across India. It’s about leveraging AI responsibly – both in our curation and potentially in partnership with creators – to enhance discovery and bring value to your most accessible screen.

    Glance is actively exploring these trends and their implications.  

    Conclusion 

    The future of content creation isn’t about humans versus machines; it’s about humans with machines. Generative AI offers incredibly powerful tools that can amplify creativity, boost productivity, and enable personalization on an unprecedented scale. However, the need for human insight, critical thinking, ethical judgment, and authentic voice remains paramount.

  • Beyond the Hype: Practical Steps for Businesses Using GenAI

    Generative AI (GenAI) is more than just a buzzword—it’s a transformative force that’s reshaping how businesses operate, innovate, and engage with customers. But with all the noise around AI, many business leaders are left wondering: How do you actually implement generative AI in a way that delivers real value?

    In this article, we break down practical, actionable steps businesses can take to integrate GenAI strategy—without falling for the hype. Whether you’re a startup or an enterprise, this guide will help you move from AI-curious to AI-capable.

    What Is Generative AI—and Why Should Businesses Care?

    Generative AI refers to artificial intelligence systems that can create content—text, images, code, music, and more—based on training data. Unlike traditional automation, GenAI doesn’t just follow instructions; it generates new, often innovative output.

    Learn more: What is GenAI?

    Why it matters for businesses:


    From automating customer support to creating marketing content, Generative AI for business can cut costs, speed up workflows, and unlock creativity. But tapping into these benefits requires more than downloading an AI tool—it calls for a clear strategy.

     

    A Guide to Use Generative AI for Business 

    Step 1: Define the Problem You Want to Solve

    The biggest mistake businesses make? Jumping into AI without a clear use case.

    Ask yourself:

    • Where are your current bottlenecks?

    • Which teams are overwhelmed with repetitive tasks?

    • Are there areas where personalization or content generation could boost performance?

    For example, if you’re an e-commerce company, you might use GenAI to generate product descriptions at scale, freeing up marketers for strategic work.

    Step 2: Choose High-Impact Use Cases First

    Start small, but think big. Focus on use cases where AI can make an immediate, measurable impact. Some proven examples:

    • Marketing: Ad copy, blogs, social captions, SEO content

    • Customer service: AI-powered chatbots, ticket summaries

    • Sales: Personalized outreach emails, lead scoring

    • Product: Prototyping features, UI design suggestions

    • HR: Resume screening, job description generation

    Not sure where to begin? Try one pilot project in a low-risk area and measure its success.

    Step 3: Build or Buy? Select the Right Tools

    There are two main ways to implement generative AI for business:

    1. Build custom models (if you have in-house data science teams and privacy concerns).

    2. Use off-the-shelf platforms like OpenAI’s GPT, Google Gemini, or industry-specific tools.

    You can also explore solutions from ecosystem partners like Glance that are bringing GenAI applications right on mobile, and smart TV platforms.

    Tip: Prioritize tools that are:

    • Easy to integrate into your workflow

    • Transparent in how they handle data

    • Scalable as your needs grow

    Step 4: Create a Responsible AI Strategy

    With great power comes great responsibility. Any AI strategy rollout needs governance and ethics baked in from the start.

    Key pillars of an AI strategy:

    • Transparency: Can users understand and trust AI-generated content?

    • Privacy: Are you safeguarding user and customer data?

    • Bias mitigation: Are your outputs fair and inclusive?

    Educate your teams on responsible AI use and review your outputs regularly.

    Step 5: Train Your Teams (Not Just the Tech)

    AI isn’t plug-and-play. To succeed, your people need to evolve with the tech.

    • Offer training sessions on using AI tools

    • Encourage experimentation in a sandbox environment

    • Celebrate small wins and AI-powered improvements

    Change management is just as important as tech adoption. If your teams don’t understand the benefit of Generative AI for business and AI strategy , they won’t use it effectively.

    Step 6: Measure and Iterate

    What gets measured gets improved. Define clear success metrics:

    • Time saved

    • Output volume

    • Engagement or conversion improvements

    • Cost reduction

    Track these over time and iterate based on what works. The Generative AI for business is still evolving, and your implementation should be too.

    Why Practicality Wins in the AI Race?

    The companies seeing real ROI from generative AI aren’t chasing trends. They’re doing the quiet, consistent work of identifying real problems, testing solutions, and building responsible processes.

    That’s where Glance comes in. As a platform that’s actively developing real-world GenAI applications—from AI-powered content discovery on lock screens to smart TV experiences—Glance helps users and businesses alike experience the benefits of GenAI without the buzzwords.

    Final Thoughts

    Implementing generative AI doesn’t have to be overwhelming. With the right mindset and strategy, any business—big or small—can move beyond the hype and start creating real value today.

    So, where will you begin?

  • Generative AI Explained: ChatGPT, GPT, Siri, Grammarly – Are They GenAI?

    If you’ve been scrolling through social media and seeing AI-generated Ghibli-style illustrations, you’re witnessing the impact of generative AI. It’s making waves worldwide, sparking curiosity and debate. But which AI tools fall into this category? Are chatbots generative AI? Let’s dive in and break it down.

    Are These AI Tools Generative AI?

    Here, we’ll analyze popular AI tools and determine whether they qualify as generative AI.

    ChatGPT – A Leading Gen AI

    Built on the GPT (Generative Pre-trained Transformer) architecture, ChatGPT produces human-like text based on prompts. Whether for creative writing, customer support, or brainstorming, it generates original, context-aware content in real time. This makes it a prime example of generative AI.

    GPT – The Engine Behind AI Text Generation

    GPT models are designed to generate text by analyzing vast datasets. When you use ChatGPT, you’re leveraging the power of GPT. This core technology drives most text-based generative AI systems today.

    Grammarly – AI for Writing Assistance

    Grammarly is a go-to tool for catching grammatical errors and improving writing style. But is Grammarly a generative AI tool? Not quite. While it can rephrase text, it primarily enhances existing content rather than generating new material from scratch.

    Siri – Apple’s Virtual Assistant

    Is Siri generative AI? Not really. While Siri uses natural language processing and limited generative techniques for responses, its core function is retrieving information and executing commands rather than creating original content.

    Alexa – More Than Just a Voice Assistant

    Much like Siri, Alexa is built for handling tasks and answering queries. While Alexa has improved in natural language interactions, its responses are pre-programmed and service-oriented. It doesn’t generate truly original content like ChatGPT.

    Glance AI – Personalized Shopping Meets AI Innovation

    Glance AI is an emerging tool that uses generative AI to enhance online shopping. With features like virtual try-ons and curated recommendations, it transforms e-commerce experiences by generating personalized content based on user preferences.

    Grok – The New Contender in Generative AI

    Recently, AI tools like Grok have entered the market, offering creative, real-time content generation. Similar to ChatGPT, Grok leverages deep learning to produce engaging, context-aware responses, making it another emerging generative AI tool.

    Quick Reference: Are These AI Tools Generative AI?

    ChatGPT and GPT are generative AI tools designed for text creation, while Siri and Alexa use some generative techniques but mainly retrieve information. Grammarly enhances text rather than generating new content. Glance AI applies generative AI for personalized shopping, and Grok is an emerging tool incorporating generative techniques for content creation.

    How to Identify Generative AI Tools

    Want to know if an AI tool is truly generative? Ask these questions:

    • Does it create new content? Generative AI produces text, images, music, or code, unlike traditional AI, which retrieves or processes existing information.

    • Does it predict and generate responses? Instead of following pre-programmed rules, it learns from data and dynamically generates responses (e.g., ChatGPT, Midjourney).

    • Is it capable of working without fixed responses? Unlike Siri or Alexa, generative AI adapts and creates fresh content.

    • Does it improve with more data? Machine learning enables generative AI to refine its output over time.

    Wrap Up

    Generative AI is revolutionizing how we interact with technology. While tools like GPT and ChatGPT excel at content generation, AI assistants like Siri, Alexa, and Grammarly focus on improving or retrieving information. Meanwhile, innovative platforms like Glance AI are leveraging generative AI to enhance shopping experiences.

    By understanding these differences, you can choose the right AI tools for your needs and make the most of this evolving technology.

  • Your Guide To What is Generative AI

    Generative AI is a branch of artificial intelligence that creates new content by learning patterns from existing data. Unlike traditional AI, which classifies or analyzes data, this technology generates entirely new outputs, such as text, images, music, and code. Think of it as a digital artist or writer that produces content based on learned patterns.

    How Does It Work?

    It relies on deep learning models like Generative Adversarial Networks (GANs) and transformer-based models. Here’s how it works:

    Data Collection

    AI is trained on vast datasets, ranging from text and images to music and code.

    Pattern Learning

    Using neural networks, AI identifies structures and styles in the data.

    Content Generation

    Once trained, it can create new, original content mimicking the learned patterns.

    Traditional AI vs Generative AI Applications

    Traditional AI focuses on data analysis, classification, and prediction, producing outputs like labels and forecasts using supervised learning. In contrast, this AI specializes in content creation, generating text, images, music, and code through unsupervised or self-supervised learning. Examples of traditional AI include spam filters and recommendation systems, whereas this AI powers tools like ChatGPT for text and GANs for images.

     

    Applications

    This AI-driven innovation is revolutionizing multiple industries. Here are some of its most impactful applications:

    Content Creation

    • Generates blog posts, articles, and even poetry, helping writers and marketers.

    Art & Design

    • Produces digital paintings, fashion designs, and creative visual content.

    Music Composition

    • Creates original soundtracks and helps musicians experiment with new styles.

    Code Generation

    • Assists developers by generating code, debugging, and even building applications.

    Chatbots & Virtual Assistants

    • Enhances conversational AI, making interactions more natural and engaging.

    Smart Shopping with Glance

    • AI-driven styling and personalized recommendations, like Glance AI, help users discover fashion, accessories, and more without endless scrolling.

    How to Use It

    To start using AI-powered tools, explore platforms like ChatGPT, Gemini, GitHub Copilot, and others. Identify your goal—whether it’s writing, coding, or generating images—and select the best tool. Experimenting with different input prompts will help you unlock AI’s full potential.

    Impact on Daily Life

    AI is already making life easier and more efficient:

    Banking

    • Speeds up transactions, loan approvals, and fraud detection.

    Shopping

    • Provides personalized recommendations, reducing search time.

    News & Information

    • Customizes content based on interests, improving user experience.

    Healthcare

    • Aids in diagnosis, treatment planning, and patient care.

    Education

    • Offers adaptive learning tools for better knowledge retention.

    Customer Service

    • Reduces wait times through AI-powered chatbots.

    Work Efficiency

    • Automates repetitive tasks, allowing more focus on strategic work.

    The Future

    The market for AI-generated content is projected to exceed $200 billion by 2030. Expect more advancements in:

    Integration

    • AI-powered tools will be embedded into everyday applications.

    Ethical Generative AI Development

    • Frameworks will be established to ensure responsible AI use.

    Broader Applications

    • AI will expand into gaming, immersive education, and emotional intelligence.

    FAQs

    What is Generative AI Technology?

    It is an AI system that creates new content, such as text, images, and music, by learning from large datasets.

    How is It Different from ChatGPT?

    This technology includes various AI models, while ChatGPT is a specific model designed for text-based conversations.

    Is ChatGPT Part of This AI Field?

    Yes, ChatGPT uses this technology to generate human-like text.

    Is Alexa Part of This AI Field?

    Alexa itself is not, but it now incorporates AI-powered capabilities for more natural interactions.

    This AI-driven innovation is shaping the future of creativity, efficiency, and innovation. As it continues to evolve, its impact will only grow stronger, redefining the way we interact with digital content.

     

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