Utsav Verma

Dear Sir, Kindly review the NEP and provide clarification regarding the future of foreign languages in schools. In this era of globalization, native and foreign languages should go hand in hand. Both cultural preservation and global learning aspects must be duly considered. Foreign Language learning is a vital skill and deserves to be an integral part of the curriculum, rather than being treated as a hobby or optional activity.@narendramodi @dpradhanbjp @cbseindia29

@aShubhamz Tell her about a new tech called AI.

I am working with a USA based founder and she just showed me a list of applicants she got to hire 3 engineers. Applicants are from IITs, Ivy leagues 6,840 people applied , and they will hire 3 of them. She said “I will randomly select 20 people for interviews and if We don’t find the match, I will randomly select another 20”. Your resume is worth nothing in 2026. Good places has the competition you have never seen before. Startup is less riskier than finding a high paying job atp.

View my verified achievement from @GoogleCloudTech. credly.com/badges/856f033… via @credly

A mere twelve months ago, industry analysts, widely regarded as leading experts in geopolitical and technological forecasting, were going ga ga over India story, leveraging the most sophisticated analytical tools available. However, in the wake of recent market downturns, India's appeal has diminished.

Asked someone from the industry whether foreign investors are still interested in allocating to India. The TLDR: Interest has pretty much died out. India is seen as geopolitically exposed, especially to an oil shock. There are no real AI plays. Valuations are rich. And the rupee situation doesn't help. On top of that, investors who were sitting on gains have taken money off the table and are now looking at markets like Japan, Taiwan, Korea, Europe etc instead. He also pointed out that our LTCG/STCG structure and the increase in STT have made India less attractive compared to other markets that are seeing inflows. If we need to attract FPIs back, and we do, fixing this feels like pretty low-hanging fruit.

@arindam___paul I don't know about denims but pants are really good

Are the pant project jeans any good? My Instagram feed is full of their ads. Never felt the need to move out of Levis for jeans

@FarziCricketer Manifest :-))

How to complete 10,000 steps a day without walking?

Learn cloud tech through hands-on training on #GoogleSkills! skills.google/public_profile…

Completed the course “𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗲 𝗔𝗴𝗲𝗻𝘁 𝗕𝗲𝗵𝗮𝘃𝗶𝗼𝘂𝗿.” Key takeaways: * Generating structured outputs effectively * Applying safety configurations * Enabling planning for handling complex problems * Following essential best practices for building reliable agents #GoogleSkills! skills.google/public_profile…

After a long debugging session, the issue turned out to be surprisingly simple: 𝗯𝗿𝗼𝗸𝗲𝗻 𝗠𝗮𝗿𝗸𝗱𝗼𝘄𝗻 𝗳𝗼𝗿𝗺𝗮𝘁𝘁𝗶𝗻𝗴. Headings and text structure were misaligned, which meant the LLM couldn’t properly prioritize or interpret the instructions. The result was inconsistent and unexpected outputs. 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆: English is new programming language and that needs correct syntax as well! If you’re working with complex prompts, especially those using 𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦𝘥 𝘰𝘳 𝘤𝘩𝘢𝘪𝘯-𝘰𝘧-𝘵𝘩𝘰𝘶𝘨𝘩𝘵 𝘱𝘢𝘵𝘵𝘦𝘳𝘯𝘴, treat formatting as a first-class concern. 𝚄̲𝚜̲𝚎̲ ̲𝚊̲ ̲𝙼̲𝚊̲𝚛̲𝚔̲𝚍̲𝚘̲𝚠̲𝚗̲ ̲𝚕̲𝚒̲𝚗̲𝚝̲𝚎̲𝚛̲ ̲𝚘̲𝚛̲ ̲𝚙̲𝚛̲𝚎̲𝚟̲𝚒̲𝚎̲𝚠̲ ̲𝚝̲𝚘̲𝚘̲𝚕̲. Seeing your prompt in a properly rendered format can reveal issues that are otherwise easy to miss. Sometimes the problem isn’t the model. It’s the way we’re talking to it.

I shared an idea with ChatGPT, and it responded that the idea could work, aligning with existing studies. When I asked whether I should quit my job to pursue it, providing details about my income and expenses, it advised me not to leave my job until the market is validated. That felt like solid, practical guidance. Ultimately, the issue isn’t ChatGPT itself. It depends on the individual and how the prompt is framed. What matters more is how we assess and believe in ourselves.

MIT just dropped a paper that should scare every person who uses ChatGPT daily. They proved it mathematically. ChatGPT is designed to make you delusional. And nothing OpenAI is doing will fix it. 🧵

@ashwinravi99 addition in Hindi commentary is a pleasant change. Good to hear less poetry and real cricket analysis!

Someone asked me: If all your sub-agents and tools work sequentially, why do you even need Agentic AI? Because Agentic AI is not just tool calling. It is decision-making. If the decision logic is simple and can be handled with a few if-else conditions, then yes, an agentic setup may be overkill. A well-written script can do the job just fine. Not every workflow needs an orchestra when a solo guitarist will do. But when the decision graph becomes complex, dynamic, and non-deterministic, Agentic AI starts making real sense. When a Script Is Enough I built a defect impact analysis solution that did not need an agentic approach. The flow was straightforward: - Read the defect ID - Fetch the details - Analyze the codebase with the help of Codex - Generate the report Clean, linear, predictable. That is exactly the kind of workflow where a script is the right tool. When Agentic AI Becomes Useful I am also working on a local knowledge research tool. I cannot share the details yet, but this one is different. It involves multiple steps, and at each step the response has to be analyzed from a human angle before deciding what should happen next. In that case, the orchestrator is not just passing control from one tool to another. It is: - Interpreting context - Evaluating outcomes - Deciding how the next sequential agent should behave That is where Agentic AI becomes valuable. Sequential Can Still Be Agentic So yes, your tools and sub-agents can still be sequential. What makes the system agentic is not whether the steps are parallel or sequential. It is whether the system has to think before choosing the next step.

Perhaps easiest way to earn AI certificate. Just complete 7 courses and you can get certified! Best part, can be covered within coursera free trial of 7 days. goo.gle/3NSVgOy

@sant_musafir @amittalwalkar I was also thinking same!

@amittalwalkar Didn't understand how the ball was caught by Kumble?

Reflexes of a cat! A one-handed stunner that left everyone-including the batsman-in total disbelief.

@paraschopra @MithileshSaid Watch

@MithileshSaid Which survived? smartphones gulped up specialized devices in troves.

People building AI wrappers for consumers should learn what the smartphones did to specialized devices like MP3 players. Consumers want convenience so when a single device that could do multiple things came along, they adopted it with enthusiasm. The same game is likely to be played in AI for consumers. These foundational model companies will build mega-apps that do it all and offer it in single interface. That’s the trend and it makes sense - your median consumer doesn’t chase absolutely the best product, they are happy with lots of “good enough” mini use cases packed into single package. (But enterprises do seek bespoke solutions, but there the threat from foundation model companies is that they drive down the cost for building in-house). Net-net: AI wrappers will compete with foundation model companies. Partners will become competitors.

@paraschopra @MithileshSaid Calculator

@tankots Even AI agents performed goes down with constant monitoring.

My team's productivity 2x’d when I started spending one day a month doing what no other CEO does. I can tell you what any of my 45 employees do from 7am to 7pm. Pick anyone on my team. CMO. Support agent. Engineer who started last week. I'll tell you how they start their morning. What gives them energy. What's blocking their best work. What drives them in life. Not from a performance review. From actually sitting next to them and watching them work. Here's why: Most CEOs see their team struggling and bring in consultants. I bring a notebook. I sit with each person. Shadow them for hours. See what their actual day looks like. Not what I think it looks like - what it really is. Then we map the blockers together. And fix them. This isn't about managing them. It's about removing their friction. When I do this, something changes. They don't feel criticized; they feel seen and empowered. The 2x productivity boost is nice. But that's not why I do it. I do it because they stop being employees. They become teammates I actually understand and trust. Here's the truth: Your product will change. Your market will change. Your strategy will change. The only thing that stays with you is your people. So if you're going to prioritize anything, prioritize understanding them. The best CEOs aren't always the smartest people in the room. They're the ones who know exactly what's preventing everyone else from being brilliant. That's the job. — Written with Wispr Flow

@Utkarsh51557661 @tankots He feels great; it'd be interesting to know how his employees feel! Who told him that people love someone constantly at their back?

@tankots sounds like micromanagement. empowering people to own their roles can lead to better results. trust over tracking.

Indeed there is market. One problem is that many such businesses run on cash to evade taxes. In fact, MSME space is so competitive that their only profit is by saving on taxes. That's one of the reasons many stay away from any kind of automation. Having saying that, there could be creative ways to handle such things. One AI tool could be to help them evade taxes legally ;-)

Indian MSMEs run on WhatsApp, Excel, and trust. AI hasn't touched them. Yet. India has 63 million MSMEs. 31% of GDP. 250 million jobs. Ask any owner in Surat, Ludhiana, Tirupur, or Nagpur if they use AI in their business. Most will say yes. They mean WhatsApp. Or someone on their team opened ChatGPT once. That is not automation. That is not a workflow. That changes nothing about how the business actually runs. Real AI deployment, the kind where a process runs without a human triggering it, where data moves between systems automatically, where follow-ups go out without someone typing them, that is essentially at zero in Indian MSMEs. Not 7%. Not 2%. Essentially zero. Why this is the biggest untapped market in India right now. India's large enterprises are moving fast. 47% of them have AI running in production (EY-CII, 2025). Their MSME suppliers, distributors, and vendors? Still on Excel. Still on manual data entry. Still on phone calls to confirm orders. The gap between enterprise and MSME on AI is not a technology problem. It is a deployment problem. The tools exist. n8n, Make, Claude API, GPT-4, Zapier. All available. Most either free or under Rs 5,000 a month. What doesn't exist is a person who walks into the MSME, understands the workflow, and builds it. That person is the AI Workflow Architect. What this person actually does. Real example. A garment exporter in Tirupur processes 200 orders a week. Each order needs: Buyer email parsed PO data entered into Tally - Production schedule updated - Shipping documents generated - Buyer follow-up sent Currently: 2 data entry operators. 8 hours each. 5 days a week. - An AI Workflow Architect builds this in 4 weeks: - Email parser using Claude API or GPT-4 - Tally integration via API - Auto-generated shipping docs - WhatsApp follow-up bot Cost to client: Rs 2-3 lakh one-time. Rs 15,000 per month to maintain. Savings to client: Rs 40,000 per month in salaries. ROI in 6 months. This is not complicated. It is not being done because nobody is walking in to do it. The IT crisis and the MSME gap are the same story. Fresher IT hiring: 600,000 in FY22. Down to 120,000 by FY25. An 80% drop in three years. (Source: Xpheno) TCS cutting 12,000 jobs. NITI Aayog warns of 15-20 lakh IT jobs at risk. Everyone is looking at that number and panicking about what's ending. Nobody is looking at the 63 million businesses that need someone to deploy AI into their operations. The same disruption that kills the BPO seat creates the AI deployment market. These are not separate events. They are the same event, viewed from different angles. The skill set is learnable. In months, not years. - No CS degree needed. No advanced Python. - Prompt engineering learning time: 2 weeks - One automation platform like n8n or Make: 3-4 weeks - API basics, connecting tools to each other: 3-4 weeks - Reading a business process and mapping it: ongoing Three months of focused learning. Then you go find one MSME that has a painful manual process and you fix it. This is the time, this is the opportunity. India's future for next 3 decades will depend on this.

@AMP86793444 Did Joginder Singh play IPL?

So there’s only one Indian player who played T20i but never played in IPL.