Interactive Content Design

Fluffy content builds virality. Your story builds legacy. Most coaches don’t see it that way. They stress their brains trying to find something new that makes them stand out. A few hidden tactics. A "secret" from big creators. A new $100 course that's "different." An “unfair advantage” no one else knows. But here’s the truth: Your story is already your unfair advantage. The lessons you learned the hard way. The unique journey only you took. Experiences that shaped you. That’s what connects with people. And when your story aligns with your target buyers—inside the business context of your offer... It cuts through the noise. I struggled to realize this at first. I thought I needed better funnels. Virality. Better pictures etc. A bit of fancy branding. But none of that moved the needle. When I leaned into my experiences and paired them with a clear offer - that’s when buyers engaged in conversations.  They trusted me. They related to me. And they bought from me. Not because I had some secret trick. But because they saw how our stories overlapped. It helped them better relate to my offer. So, admit the failure and how you fixed it. Post your wins and what you learned. Share lessons from your old self. No tricks, gimmicks, or hacks. Just mini, relatable, contextual stories and insights positioned the right way, with the right offer. Your story + your clear offer = your distinguishing advantage. (it's more relatable than you think)

LLMs are optimized for next turn response. This results in poor Human-AI collaboration, as it doesn't help users achieve their goals or clarify intent. A new model CollabLLM is optimized for long-term collaboration. The paper "CollabLLM: From Passive Responders to Active Collaborators" by Stanford University and Microsoft researchers tests this approach to improving outcomes from LLM interaction. (link in comments) 💡 CollabLLM transforms AI from passive responders to active collaborators. Traditional LLMs focus on single-turn responses, often missing user intent and leading to inefficient conversations. CollabLLM introduces a :"Multiturn-aware reward" system, apply reinforcement fine-tuning on these rewards. This enables AI to engage in deeper, more interactive exchanges by actively uncovering user intent and guiding users toward their goals. 🔄 Multiturn-aware rewards optimize long-term collaboration. Unlike standard reinforcement learning that prioritizes immediate responses, CollabLLM uses forward sampling - simulating potential conversations - to estimate the long-term value of interactions. This approach improves interactivity by 46.3% and enhances task performance by 18.5%, making conversations more productive and user-centered. 📊 CollabLLM outperforms traditional models in complex tasks. In document editing, coding assistance, and math problem-solving, CollabLLM increases user satisfaction by 17.6% and reduces time spent by 10.4%. It ensures that AI-generated content aligns with user expectations through dynamic feedback loops. 🤝 Proactive intent discovery leads to better responses. Unlike standard LLMs that assume user needs, CollabLLM asks clarifying questions before responding, leading to more accurate and relevant answers. This results in higher-quality output and a smoother user experience. 🚀 CollabLLM generalizes well across different domains. Tested on the Abg-CoQA conversational QA benchmark, CollabLLM proactively asked clarifying questions 52.8% of the time, compared to just 15.4% for GPT-4o. This demonstrates its ability to handle ambiguous queries effectively, making it more adaptable to real-world scenarios. 🔬 Real-world studies confirm efficiency and engagement gains. A 201-person user study showed that CollabLLM-generated documents received higher quality ratings (8.50/10) and sustained higher engagement over multiple turns, unlike baseline models, which saw declining satisfaction in longer conversations. It is time to move beyond the single-step LLM responses that we have been used to, to interactions that lead to where we want to go. This is a useful advance to better human-AI collaboration. It's a critical topic, I'll be sharing a lot more on how we can get there.

Boring content doesn’t build brands. So why are we still making it? Things are changing at a speed we never thought possible, and it's getting scary, especially if you're into marketing. A few years ago, simply providing valuable information was enough. There was less competition, audiences had more patience to consume detailed content, and social media wasn’t as saturated with endless options fighting for attention. But today? The way audiences consume content has evolved. They still seek information, but they also expect it to be engaging, easy to digest, and even fun. 🔴 The challenge? We’re competing not just with other brands but with everything else fighting for attention—trending reels, viral tweets, and endless scrolls of content. So what happens if we don’t adapt? 😕 Engagement drops → Purely educational content without an engaging hook gets overlooked. 😖 Brand recall weakens → People remember stories, humor, and emotions—not just facts. 😑 Reach shrinks → Algorithms prioritize engaging content, and if yours doesn’t hook people, it won’t be seen. The solution? Edutainment. Instead of choosing between educational and entertaining content, combine the two. Here’s how: ✅ Traditional educational content: Blog posts, case studies, reports, how-to guides. ✅ Entertainment-based content: Interactive quizzes, polls, short-form videos, memes, storytelling posts. ✅ Hybrid (Edutainment) content: Infotainment-style videos, gamified learning, storytelling-based lessons, social media threads with humor. Why does this work? Because people crave dopamine, not just data. → A well-told story makes an audience listen. → A fun quiz makes them engage. → A short, entertaining video makes them stay. If you make your audience enjoy learning, they’ll keep coming back. Remember, your audience doesn’t owe you their attention. You need to earn it. Thoughts?

Google announced Agent2Agent Protocol, how is it related to MCP and what is this all about ? 🤖 𝟏. 𝐌𝐨𝐝𝐞𝐥 𝐂𝐨𝐧𝐭𝐞𝐱𝐭 𝐏𝐫𝐨𝐭𝐨𝐜𝐨𝐥 (𝐌𝐂𝐏): 𝐌���𝐝𝐞𝐥-𝐭𝐨-𝐓𝐨𝐨𝐥/𝐃𝐚𝐭𝐚 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐏𝐮𝐫𝐩𝐨𝐬𝐞: MCP is designed to be a universal standard for how an AI model (or an application housing a model, sometimes called an "agent" in this context) securely connects to and interacts with external tools, APIs, and data sources (called "MCP servers"). 𝐆𝐨𝐚𝐥: To provide the AI model with necessary "context" (like files, database entries, real-time information) from these external sources and allow the model to trigger actions (like updating a record, sending a message) using those tools. It aims to eliminate the need for custom, one-off integrations for every tool. 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐓𝐲𝐩𝐞: Primarily Client (AI model/app) <-> Server (Tool/API/Data Source). 𝐀𝐧𝐚𝐥𝐨𝐠𝐲: Think of MCP like a standardized USB port or HTTP protocol for AI. It allows any compatible AI model to "plug into" and use any compatible external tool or data source without needing a special adapter each time. 𝐅𝐨𝐜𝐮𝐬: Enhancing the capabilities of a single AI model/application by giving it secure and standardized access to the outside world. 𝟐. 𝐀𝐠𝐞𝐧𝐭-𝐭𝐨-𝐀𝐠𝐞𝐧𝐭 (𝐀𝟐𝐀) 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐏𝐫𝐨𝐭𝐨𝐜𝐨𝐥𝐬: 𝐀𝐠𝐞𝐧𝐭-𝐭𝐨-𝐀𝐠𝐞𝐧𝐭 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐏𝐮𝐫𝐩𝐨𝐬𝐞: These protocols define standards for how multiple distinct autonomous AI agents communicate directly with each other to collaborate, coordinate tasks, negotiate, and share information.   𝐆𝐨𝐚𝐥: To enable complex multi-agent systems where agents can work together effectively, delegate tasks, and achieve goals that a single agent couldn't manage alone. This includes agents potentially built by different developers or organizations. 𝐈𝐧𝐭𝐞𝐫𝐚𝐜𝐭𝐢𝐨𝐧 𝐓𝐲𝐩𝐞: Agent <-> Agent 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐬𝐦: Often based on established theories defining message types (inform, request, query), message structures, interaction protocols, and sometimes shared languages/ontologies. Newer protocols like Google's A2A build on web standards (HTTP, JSON-RPC) for interoperability. 𝐀𝐧𝐚𝐥𝐨𝐠𝐲: Think of A2A protocols as a shared language, grammar, and set of conversational rules (etiquette) that allow different agents to understand each other and work together cooperatively. 𝐅𝐨𝐜𝐮𝐬: Enabling communication, collaboration, and coordination between multiple distinct AI agents. MCP Official: https://lnkd.in/gRMcrwpn A2A Official: https://lnkd.in/g6PCJZWn Follow Arpit Adlakha for more!

5-Minute Website Audit: Check Your Mobile Friendliness Why Mobile-Friendliness Matters in SEO With Google’s mobile-first indexing, your site’s mobile version is the main focus for rankings. Mobile-friendliness impacts page speed, user experience, and accessibility, making it crucial for engagement, better rankings, and a broader reach. Using the Mobile-Friendly Test Tool Google’s Mobile-Friendly Test is free and easy to use. By entering your URL, you get a report on mobile usability issues, including text readability, tap target size, page speed, and design responsiveness—all key for mobile interactions. Key Mobile Optimization Concepts -Responsive Design: Adjusts layout to fit all screen sizes, improving accessibility. -Page Load Speed: Faster loading enhances retention and SEO; optimize images, scripts, and servers. -Tap Targets & Navigation: Easy-to-tap buttons and intuitive navigation prevent misclicks. -Text Readability: Fonts should adjust for clarity without needing zoom. -Challenges in Mobile Optimization -Responsive Design Complexity: Converting to responsive design may require significant changes. -Load Speed Optimization: Mobile networks are slower, so optimizing speed is challenging. -Aesthetic vs. Functionality: Balancing visuals with fast performance. -Cross-Device Testing: Testing on multiple devices and browsers is crucial but time-intensive. Running the Mobile-Friendly Test -Visit the Tool: Enter your URL on Google’s Mobile-Friendly Test page. -Run the Test: Click “Test URL.” -Review Results: View mobile-friendliness and address any issues, like small text or crowded elements. Strategies for Mobile Optimization -Responsive Frameworks: Use Bootstrap or Foundation for adaptable layouts. -Image Compression: TinyPNG and similar tools reduce image sizes for faster loads. -Simplified Navigation: Large, clear buttons and straightforward menus. -Prioritize Key Content: Show critical info above the fold for visibility. -Optimized Font & Spacing: Use at least 16px font with ample spacing. Benefits of Mobile Optimization -Higher SEO Rankings: Google rewards mobile-friendly sites. -Better User Experience: Smooth navigation lowers bounce rates. -Higher Conversions: Improved mobile experience encourages actions. -Broader Reach: Mobile optimization expands accessibility. -Competitive Edge: A seamless mobile experience sets you apart. Conclusion Optimizing for mobile is essential. Regularly run Google’s Mobile-Friendly Test to catch issues early and keep your site competitive. NEXT STEPS -Test mobile-friendliness regularly -Implement responsive design for flexibility -Monitor mobile performance. Consider professional audits if challenges persist. #MobileSEO #MobileFriendly #WebsiteOptimization

There’s a big difference between 𝘤𝘰𝘯𝘵𝘦𝘯𝘵 and 𝘴𝘵𝘰𝘳𝘺𝘵𝘦𝘭𝘭𝘪𝘯𝘨. A 10-second social reel might get a few easy likes (vanity metrics, mostly). But a well-produced, story-driven video has the power to 𝘴𝘵𝘪𝘤𝘬… To shape how people see your business, your culture, and your impact. Take Bronte Webb from Martinus Rail. Her journey as an apprentice isn’t just another corporate highlight reel, it’s a story that puts a face to opportunity, growth, and the future of the industry. A quick social reel wouldn’t do it justice. A longer-form piece allows the story to breathe, giving the audience time to connect, engage, and truly feel something. A well-crafted video can: - Build credibility and trust in your business - Strengthen brand perception (quality content = a quality company) - Showcase real people and real impact - not just quick sugar hits - Shift how your audience feels about your company, not just what they know Marketing and b2b content creation isn’t just about pushing content out there, it’s about taking the time to tell the business stories that matter most to your audience. That’s what makes a B2b brand more memorable, and leads to better business outcomes. Social reels certainly have their place. But the best content isn’t the quickest to produce. It’s the content that leaves a lasting impression. More companies in the industry need to get this balance right. And the marketing and comms managers that understand this will generate better business outcomes longterm from the marketing content they create. If your company had the chance to tell a truly powerful story, what would it be?

People don’t buy products. They buy time. They buy peace of mind. They buy the better version of themselves. This hit me hard when we launched a feature that reduced reporting time by 50%—and no one noticed. Why? Because we sold the solution. We didn’t sell the transformation. Our messaging sounded something like this: "Introducing Feature X: Reduce manual reporting time by 50%!" Clear? Yes. Exciting? Not so much. That’s when we realized: Numbers alone don’t inspire action. Stories do. So, we changed the narrative: "Imagine getting back an entire afternoon every week—no spreadsheets, no stress. What would you do with that time? Focus on strategy? Wrap up early for the day? Because nobody likes getting stuck in reporting. And now, you don’t have to." Suddenly, customers listened. They saw themselves in the story. 💡 It wasn’t about the feature anymore—it was about them. Here’s what I learned about storytelling in product marketing: 1️⃣ Paint the 'before-and-after' picture: Show the problem, then the transformation. 2️⃣ Make the customer the hero: Your product is the guide that helps them win. 3️⃣ Focus on the emotional outcome: More time. Less stress. Greater freedom. The result? A 40% jump in adoption rates. 🚀 Because when customers feel the impact of your product, they don’t just notice it—they adopt it. So, next time you’re launching a feature, ask yourself: Are you selling the product or the story? #ProductMarketing #Storytelling #GoToMarket

62% of LinkedIn users scroll on mobile. Yet most creators still design posts like everyone's on a 27-inch monitor. (I have made these mistakes too.) The result? Your content gets skipped. Not because it's bad, but because it's unreadable. Here are the 5 mobile design mistakes killing your engagement: 1. Tiny text on images • If your audience needs to pinch and zoom, they won't. • Keep text at least 40pt and limit it to 6 words per line. 2. Heavy images that load slowly • Anything over 1MB will frustrate mobile users. • Compress your visuals before uploading. 3. Carousels crammed with information • Mobile screens are small. • Fitting 8 bullet points on one slide? You've already lost people. • Aim for 3 lines max per slide. 4. Poor color contrast • That light gray text on white background? • Invisible in sunlight. • Use high contrast combinations. • Test your designs in bright light. 5. CTAs hidden below the fold • If your CTA is buried at the bottom of a long post, mobile users will never see it. • Put your ask in the first 3 lines or repeat it at the end. The fix is simple: design on mobile first, then check desktop. ✓ What's the biggest mobile design mistake you see on LinkedIn? PS: I am not a designer. But I always cross-check my posts on the mobile to ensure they are reader-friendly.

Exciting research from Snap Inc.'s engineering team! Just came across their paper on Universal User Modeling (UUM) that's revolutionizing how they handle cross-domain user representations. The team at Snap has developed a framework that learns general-purpose user representations by leveraging behaviors across multiple in-app surfaces simultaneously. Rather than building separate user models for each surface (Content, Ads, Lens, etc.) and combining them post-hoc, UUM directly captures collaborative filtering signals across domains. Their approach formulates this as a cross-domain sequential recommendation problem, processing user interaction sequences of up to 5,000 events and using sliding windows of 800-length subsequences to balance computational efficiency with capturing long-range dependencies. The architecture leverages transformer-based self-attention mechanisms to model these sequences, with a clever design that projects feature vectors from different domains into a shared latent space before applying multi-head attention layers. The results are impressive! After successful A/B testing, UUM has been deployed in production with significant gains: - 2.78% increase in Long-form Video Open Rate - 19.2% increase in Long-form Video View Time - 1.76% increase in Lens play time - 0.87% increase in Notification Open Rate They're also exploring advanced modeling techniques like domain-specific encoders and self-attention with information bottlenecks to address the challenges of imbalanced cross-domain data. This work demonstrates how sophisticated user modeling can drive substantial engagement improvements across multiple recommendation surfaces within a large-scale social platform.

Having written over 700 posts, it's safe to say my best-performing posts are stories. - The content that sparked the most conversations? Stories. - The ones that drove real business? You guessed it: stories. But not just any stories. - Not random life updates. - Not long-winded personal essays. - Not overly polished thought leadership pieces. Just simple, impactful moments. All about the "feeling." And the best part? You don’t need a wild, life-changing experience to tell a good story. You just need to structure it right. Give me 60 seconds as I show you how I do it: 1. Start with a relatable trigger People don’t engage with “lessons.” They engage with moments they’ve lived through. Instead of: “People struggle with imposter syndrome.” Try: “I stared at my LinkedIn post for 30 minutes, convinced no one would care.” Why it works: - It immediately paints a scene in the reader’s mind. - It triggers emotional recall (if they’ve felt the same). - It makes your content instantly relatable. 2. Keep It tight, but impactful The best stories don’t ramble. They land fast and hit hard. Instead of: "I started my business in 2021. At first, it was difficult. I had no clients, no inbound leads, and no idea how to market myself. But then I changed my approach…" Try: "In 2021, I hit ‘publish’ on my first LinkedIn post. It got 2 likes. Both were from family. I almost quit that day." Why it works: - It compresses the experience into a single moment. - It hooks attention without unnecessary fluff. - It creates curiosity (what happened next?). 3. End with a “why it matters” punchline A story without a takeaway is just a diary entry. Your audience needs to know what to do with it. Instead of: "So I kept posting, and eventually, I figured it out." Try: "That was the moment I realized: The first 100 posts will suck. They’re for you to find your voice." Why it works: - It delivers a memorable lesson in a single line. - It ties the story back to a universal truth. - It creates a perspective shift that sticks. Short stories. Big impact. Let me know which lesson you enjoy the most. Repost this to help your network tell better stories.