Parag Jain

FINALLY!! In addition to the push from government, wall street, and customers, there is now a push from employees too!! In a bold move, over 1,000 Amazon (India) employees are raising concerns about the company's rapid AI expansion. They're calling for sustainable practices and ethical guidelines to protect jobs and the environment. (You can read more about their demands here: https://lnkd.in/gxrnRZKs) It's crucial for tech giants to balance innovation with responsibility. As we embrace AI, let's ensure it's a force for good, not a source of harm. What are your thoughts on this?

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Launching: Chat with Priyank (beta) today on https://priyank.tech A few weeks ago, I launched priyank.tech as a single home for my work, projects, and notes. Today I’m adding a faster way to get to the signal: Skip the scrolling, ask.  “Chat with Priyank” answers questions about my projects, views, and skills by pulling the most relevant context and giving you a concise, useful response. What’s under the hood (and why): - Human‑verified access - Conversations start only after the system knows it’s interacting with a person, not a bot. - Scope & guardrails - It only answers questions about me. When a query is out of scope or uncertain, it responds with a polite “I don’t know.” - Context engineering first (no RAG, yet!) - An analysis by industry veterans suggested that GPT-5 class models can correctly use ~85% of the provided context. I want to see how far careful, prompt, and context design can go before adding retrieval. I’ll evaluate this over the next few days and decide before graduating from beta. - Prompt caching enabled - To keep costs under control (and responses snappy), repeat prompts and shared context are cached. - Early memory layer - A lightweight short-term memory layer powers more personal, consistent answers across sessions. Try it on: https://priyank.tech   If it’s your first visit, do subscribe to my newsletter—I’ll share build notes, decisions, and lessons learned there. Starter prompts: “Tell me about your AI and Generative AI expertise “How can you help me become an AI first organization?” Feedback is welcome, especially edge cases and failure modes.  #AI #product #buildinpublic #LLM

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It's clear after Google I/O 2025 that AI is everywhere, and India's contribution is huge! The conference strongly showed AI's deep integration into Google's future, with many Indian-origin leaders and engineers driving this innovation. Their undeniable presence and impact included advancements specifically for the Indian market, proving the country's vital role as a tech hub. Key Indian-origin contributors included: Sundar Pichai, Tulsee Doshi,Naistha Bhatia, Aparna Pappu, Prabhakar Raghavan #GoogleIO #IndianOrigin #AI https://lnkd.in/dD8QfnsR

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Started my Sat morning watching an hour and a half long podcast of Nikhil Kamath and Vinod Khosla (Best weekend morning ritual) There’s something rare about listening to someone who’s spent decades backing wild ideas, and still sounds genuinely curious. No jargon, no ego, just truth bombs. One line that stuck with me - he called himself “tech curious.” Not “tech expert.” Not “futurist.” Just curious. That energy? That’s the energy I want to carry with me. Here’s what else hit me hard, and I feel every early professional should know this: → Take uncomfortable bets Most people want guaranteed ROI. But the biggest impact often comes from long shots, ideas that feel unreasonable, even laughable at first. If you’re playing only to avoid failure, you’ll never get to exponential upside. This reminded me that the game isn’t to be right, it’s to "TRY". He said it best- "Skeptics are people who never did the impossible.” → Don’t box yourself in The most valuable skill in today’s world isn’t a degree or niche experience, it’s the ability to learn fast. Generalists who can context switch, learn on the fly, and connect dots across fields will always stay ahead. Early in your career, that’s your superpower. Don’t box yourself in. Especially in AI, where nothing stays still. → Be the solver One part that really stayed with me was when he talked about Elon Musk. He didn’t wait for the government or the legacy automakers to lead the EV future- he just built it. Today, 25% of California drives electric. Not because of a white paper, but because someone took the uncomfortable, high-risk route, almost went bankrupt, but still followed through. It made me realize: big change doesn’t happen when you wait for the stars to align. It happens when you take action anyway. So here’s my fav takeaway - the 3P filter I’m keeping in mind moving forward: ❤️ Passion – to care deeply about the problem ❤️ Persistence – to keep going when logic says give up ❤️ Pragmatism – to stay grounded while dreaming big If you’re someone who loves being uncomfortable, you’re probably on the right path. Highly recommend watching the full conversation. It’s one of those rare interviews that stays with you.

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Great products solve for real user pain. Too many apps. Too many logins. Too many choices. Airtel just launched a plan that simplifies all that—25+ OTTs, 1 recharge. Sometimes, reducing friction is the most underrated kind of innovation. https://lnkd.in/gdmipzi8 Pankaj Dayani Siddharth Sharma Anurag Verma Sanket Arora  kanishk kumar Hitesh Bhatia Vipul Gaba Manish Jain Parichay Saxena Gurpreet Singh Nikhil Rajput Narendra Choudhary Amiya Vidit Varun Das Ankit Srivastava Anant Kumar Manoj Kumar Mauni Heena Naithani Himanshu Gulati Himanshu Luthra Sushit Sharma Joel T Stephen Gitansh Malik

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If someone is surprised by the feedback they receive, this is a management failure. After witnessing multiple instances of this failure at Amazon, we realized our feedback mechanism was deeply flawed. So, we fixed it. In order for the organization to perform at its highest, employees need to know not only what is expected of them, but also how those expectations will be measured. Too often, managers assume that capable people will simply “figure things out,” but this is difficult and destined to fail without explicit expectations and continuous feedback. I remember the experience of an employee we can call “Melinda.” She had been a strong performer for two years before she transitioned into a new role on another team. She attacked the new opportunity with enthusiasm, working long hours and believing she was on the right track. Then, her manager expressed concerns about her performance and the criticism came as a shock. The feedback was vague, and there had been no regular check-ins or early signs to help her course-correct. This caused her motivation to suffer and her performance declined significantly. Eventually, she left the company. Afterward, we conducted a full review and we discovered that Melinda’s manager had never clearly articulated the expectations of the new role. Worse, her previous achievements had been disregarded in her evaluation. The system had failed her. This incident was not isolated. It illustrated a pattern. It revealed broader gaps in how we managed performance transitions and feedback loops. So, in response, we developed and deployed new mechanisms to ensure clarity from day one. We began requiring managers to explicitly define role expectations and conduct structured check-ins during an employee’s first 90 days in a new position. We also reinforced the cultural norm that feedback must be timely, specific, and actionable. These changes were rooted in a core principle of leadership: you have to make others successful too. Good management does not involve catching people off guard or putting them in “sink or swim” situations. When employees fail because expectations were unclear, that failure belongs to the manager. The best thing to do when you see those failures is to treat them as systems to improve. That’s how you build a culture of high performance.

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I’ve spent close to a decade executing enterprise events across India. Product launches. Tech summits. Leadership conferences. Behind the scenes, everything runs on precision. On stage, everything looks polished. But the real conversations never happened on stage. They happened after. At dinners. In corridors. In quiet debriefs. I’d hear things like: “The event was fine. But I didn’t learn anything I can actually use.” “Everyone talked about success. No one talked about what broke.” That pattern repeated itself too many times to ignore. Indian enterprise conferences optimise for: Headcount Sponsor visibility Safe narratives They rarely optimise for: Execution scars What failed in the process Where money was wastedThe real conversations happened in hallways and dinners. That’s when I realized: the hallway is the product. This is why VertexGrid exists. We want to convert those dinners and hallways into the main event and focus on actually bringing value to each and every person in the room, right there while they are in the room. 1. Actionable insights 2. Peer connections steering the same boat 3. Solution focused discussions  4. High Intent Leads and connections amongst other things... #Vertexgrid #CIO #innovation #events #conference #sumit #foums #Intelligence

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"Shopper trust has become a retailer’s most valuable asset." – Anisa Kumar, CEO of Narvar In today’s volatile economy, vague delivery windows and missed updates don’t just frustrate shoppers. They erode trust, drive up costs, and kill loyalty. In her latest Forbes article, Sharon Edelson breaks down key findings from our 2025 State of Post-Purchase Report. 🔒 66% of shoppers feel anxious after buying 🚫 40% abandon carts due to fear of package theft 📦 74% experienced a late delivery in the past year Article in the comments 👇 #Retail #Forbes #Ecommerce #PostPurchaseExperience #Narvar #CustomerExperience #SupplyChain 

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On the latest episode of Embracing Erosion I sat down with Suyog Deshpande, Co-Founder & CEO of Webless (a Fluvio Ventures portfolio company). Before starting Webless, Suyog spent years at Amplitude, Salesforce, and Samsara - shaping products and GTM strategy at scale as a product marketing leader. That perspective is now fueling one of the boldest bets in tech: 🏗️ rebuilding the web for LLMs. Instead of optimizing for clicks and SEO, Webless imagines an agentic web -where sites are designed to interact directly with AI models and agents. We dug into: - What an LLM-native web could actually look like - How companies can prepare to be LLM-ready - What metrics will matter beyond pageviews and clicks - Why safety and trust are core to agent-driven experiences - Lessons Suyog brings from “big tech” into this transformation If you’re curious about how discovery, trust, and value exchange will evolve online, this one’s worth your time. Link to the full episode in the comments 👇

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