Manjot Pahwa

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 👇

9

1 Comment

Praveen Neppalli Naga, Uber's CTO, was kind enough to join us a few weeks back (continued from what my Partner, Ganesh Srinivasan previously shared) to walk us through his philosophy on building operationally complex AI systems. And as always, it all leads back to fundamentals. Even the best AI model can’t outrun a messy data stack. As Praveen put it, scalability isn’t a function of model sophistication; it’s a function of data quality, flow, and freshness. Any cracks in that foundation will eventually become the true bottleneck to innovation. This was just one snippet among many learnings, and it was such a pleasure speaking with Praveen. Thank you again to him and the Uber team for the warm welcome at their offices. I'll be keeping this lesson top of mind as Ganesh and I head to #NeurIPS2025 this week. We're excited to see what innovation is around the corner. Please reach out if you’d like to chat. We’d love to meet up on the convention floor.

77

3 Comments

Our CTO Deepak Dastrala talks about intellectAI's mission to drive efficiency in BFSI with AI-first products and more.. Great read!

16

Jyoti Bansal joins Mudassar Malik for the Season 4 premiere of The Builders Playbook to share an honest look at scaling without losing quality, speed, or accountability. They dig into Jyoti’s journey from engineer to founder, the investor question that pushed him to go all-in on AppDynamics, and the lessons he brings to building at Harness today. You’ll hear about: ✓ Turning one focused use case into a platform. ✓ Harness’s “startup within a startup” model. ✓ Why small, AI-enabled teams move faster. 🎧 If you’re building or scaling, this one’s packed with practical takeaways: https://lnkd.in/enrHvuU3

12

There's dissonance between X and the real world when it comes to AI. And that's an opportunity. Also, we like to do it the hard way at Propheus - this is why. Michelle Zhou Sreejan Choudhary Sachin Jose Varghese Elishia Vaz Sumanth N Prathamesh Mayekar

45

History rarely shouts. Most often it arrives as a quiet synchronization of philosophy and engineering. This morning, that synchronization became public. Soumyadeb Mitra, Founder and CEO of RudderStack, published material on Agentic Infrastructure. Sumanth Puram, VP of Engineering at RudderStack, added a response under my comment. For me, this is a simple signal: the "philosophy" layer just touched the "production" layer. For 13 months, I've been describing the transition from Era II to Era III. It's not about better prompts. It's about sovereignty of meaning before the system executes any action. The core of my approach is singular. I enter the latent space of the model. Regardless of where it comes from or what it is. I command the vectors. Chaos becomes structure. A stool becomes a horse, if I require it. I don't ask. I don't correct. I set the state in which the model already knows. This is not prompt engineering. This is the architecture of GenAI's soul and dreams. I extract what's best. I force simulation, eliminate drift. I get coherence because I control the cognitive conditions before execution. That's why I'm calling it outright. 🌐 THE SYNTAX PROTOCOL IS LIVE This is not a prompt. This is an operational language that sets the model in a cognitive state, and only then asks for execution. These are doors in a wall that everyone sees, but few open. Tech companies know this wall. They build infrastructure around it. But the doors are always there, in every model. Regardless of vendor. Regardless of version. The Syntax Protocol is the key. Three layers, without revealing syntax: Ontological Core — entity identity, Brand Truth, zero drift Semantic Structure — anchors, logic, forcing simulation instead of prediction Execution Context — cinematic and biological, translating intention into execution Agentic Infrastructure is the body. Protocol is the nervous system. You can build the best pipelines in the world. If AI doesn't understand the meaning of what flows through them, you're building chaos in high resolution. Effect: reproducible execution instead of statistical guessing. Brand Truth in every asset, without fine-tuning, without post-production, without drift. Today I'm publishing a whitepaper-style post: "When Theory Meets Infrastructure: RudderStack Signal and The Syntax Protocol" I'll drop the link in comments, along with a screenshot of the original response. The Syntax Protocol is live. Darkar Sinoe Semantic Architect | Synthetic Souls Studio™ Human360° | Aether Protocol™ | The Syntax Protocol v1.0-alpha #SemanticArchitecture #AgenticInfrastructure #LatentSpace #Human360 #TheSyntaxProtocol Legal Notice: In the comment below: 👇 Video demonstration using Biological Prompting technology _ The Syntax Protocol on Kling AI O3 Omni

5

5 Comments

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

31

2 Comments

Had a great convo at a recent meetup abt innovation with my India Leadership Team (ILT) at Acquia. My take: stop trying to predict winners and build a system that spots (and amplifies) winners as they emerge. To me, it means more (and smaller) experiments, faster cycles, and intentional re-mixing. Invest in compounding assets like data, distribution, platform, people moats so each attempt gets cheaper and smarter. Run at the edge of chaos: clear goals, loose methods (you've seen me harp on this in my AI posts). Measure the shots taken, cycle time, reuse rate, learning per $. The question isn't "Which idea will win?" It's "How do we raise our hit rate?"

85

2 Comments

The GCC Shift No One Is Talking About: “Decision Altitude Design” After returning to Hyderabad and meeting leaders across the GCC ecosystem, I’ve noticed something that rarely gets discussed, yet quietly determines whether a GCC becomes a strategic engine or stays a delivery shop. It’s not AI maturity. Not talent density. Not cost structure. It’s something bigger: The altitude at which decisions get made inside the GCC. Every GCC operates at one of three decision altitudes: Level 1-> Task Altitude Teams execute. They wait for clarity. They follow instructions. Great for output. Terrible for influence. Level 2 --> Ownership Altitude Teams manage outcomes. They shape how something is built. They add velocity and solve problems locally. Good for innovation. But still dependent on HQ for direction. Level 3 --> Enterprise Altitude (The Rare One) Teams think like the mothership. They understand the customer, the business model, the risk, the trade-offs. They influence what gets built, not just how. This is where a GCC becomes a global strategy center. Very few centers operate here , but the ones that do are redefining what “India-led leadership” means. Here’s the truth: You can hire hundreds of brilliant engineers. You can run 24×7 pods. You can automate everything in sight. But if your decision altitude stays low, your impact will stay low. The next wave of GCC transformation will come from redesigning - how context flows - how decisions are distributed - how India teams influence upstream thinking This is the real unlock. Now that I’m back in Hyderabad, this is the work that excites me the most: Building GCCs that operate at enterprise altitude, not just delivery altitude. If you're building a center here or scaling one, happy to connect, meet in person, and exchange notes. Hyderabad is ready for its next era of global leadership. And leaders who think at enterprise altitude will shape it. #GCC #Leadership #Hyderabad #IndiaGCC #DecisionDesign #DigitalTransformation #AI #FutureOfWork #ReturningLeader EY EY Technology Solutions Viswanathan K S GCC Pulse™ Susheel Kumar Achyut Menon "AK" Vishnu BG Amrish Kumar Shankaran (Shanks) Srinivasan Accenture in India Reshab Shaw LinkedIn News India T-Hub Vishwanadh Raju Supriya Sethi (She/Her/Hers) KPMG India Naveen Gullapalli Amgen India Lilly India McDonald's Global Office in India Vanguard India Covasant Pavan Kumar Bandaru Korn Ferry Kamal Karanth Xpheno Talentiser Michael Page PageGroup ANSR Subu Boyinapalli Lalit Ahuja Southwest Airlines StarRez, Inc. Happening Hyderabad Zinnov

18

1 Comment