Photo collage of Anand

ABOUT ME

aliases: Anand, Bal, Bhalla, Stud, Prof.
Vidya MandirIITMIBMIIMB. LBS.
LehmanBCGInfy Consulting. Gramener. Straive.
More about me.

CONTACT ME

whatsapp+91 9741 552 552
phone: +65 8646 2570
e-mail[email protected]
social: LinkedIn | GitHub | YouTube

WORKING WITH ME

To invite me to speak, please see my talks page.

For advice, see time management, career or AI advice. Else mail me.

To work with me on projects, please send a pull request.

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RECENT POSTS

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Deploying websites over dinner

Over dinner with Nishka, we were trying to deploy a website. The challenge was: How can we deploy this website, just on mobile, without getting up from the dinner table? STEP 1: Hosting. On my phone, I dictated to ChatGPT (whose transcription is excellent), copy-pasted that to Gemini (which is faster): I want to publish specifically a static HTML web page on my own domain. I want the easiest way that I can host it, preferably just by copy-pasting from my mobile without needing to muck around with Git and the likes of it. What are the most robust, reliable hosting providers that I could use? I can sort out the domain name myself as long as they support an option to map a custom domain name to them. Ideally, I am looking for something that is free, preferably free forever. ...

Sambar Styles

My wife’s sambar tastes different from my mother’s. And mine, too. When I cooked as a bachelor, my neighbour would pop by, taste the sambar, and exclaim, “Rasam super!” Surbhi’s Day 5 of the 30-day challenge was about Sambar which inspired me to take her dataset and create a decision tree for which state a sambar recipe is from based on its ingredients. ChatGPT started with 68 recipes and built a tree at 41% accuracy. As we added more recipes: ...

Panchayat solves the wrong problem

In Panchayat Season 1 Episode 7 Ladka Tez Hai Lekin…, at around 17:00, Pradhan asks Abhishek to solve problem 42. 42. A takes 5 days more than B to do a certain job and 9 days more than C. A and B together can do the job in the same time as C. How many days would A take to do it? (a) 16 days (b) 18 days (c) 15 days (d) 20 days The correct answer is (c) 15 days. But interestingly, ChatGPT got it wrong the first time too. It said (a) 15 days instead of (c) 15 days, and required a fact-check to correct itself. ...

AI advice for teams

I updated my AI Advice page by: Transcribing my calls in the last 2 months (Gemini 3.1 Pro, “Transcribe this call recording…”) Extracting AI advice (Gemini 3 Flash, “Summarize ALL AI-related advice … into 1-sentence bullets”) Asking Claude, ChatGPT, and Gemini to document what’s new / changed. I added this request: But, and this is IMPORTANT, analyze my original writing style, write it exactly in that style, and then verify to make sure it follows the same style (correcting where required.) ...

LLMs are as energy-efficient as brains

For a typical GDPVal style task, humans take ~7 hours and the brain consumes ~135 Wh. Frontier LLM agents spend 50-500 Wh. So, we may already be 3x more or less efficient than the brain. Roughly in the same ballbark! ...

My food preferences

I use ChatGPT to recommend which restaurant I should eat at and what food I should eat. So often that I decided to share a profile of my eating preferences. But rather than think about it and type it myself, I asked it to Efficiently interview me to identify my food preferences. Document it for AI agents to help me pick restaurants. Plan like an expert. (Knowing ChatGPT, I also had add “efficiently” - otherwise it would give me a huge list of questions! Which it did that anyway…) ...

Using Codex as my OS

Increasingly, I’m using Codex (or other AI coding agents) as the “operating system” to run programs. That is, rather than directly run programs, I have the coding agent run the program. Advantage: If the program breaks, or needs a configuration change, the coding agent debugs it and fixes it. I don’t need to do anything. This is particularly useful for installation. For example: Install demucs and run it against my music folder. ...

Derived formats with Gemini

The natural capability of Generative AI is to generate stuff - and Gemini’s particularly good with media. For example, we can take any document, like this MasterCard report on The State of Open Finance 2026, and generate videos, podcasts, sketchnotes, songs, and more from it. How? I uploaded the PDF to NotebookLM and created a 20-minute podcast by clicking on Generate Audio Overview - Deep Dive - English - Default. Listen to the English podcast It supports multiple languages, so I generated a Chinese and Filipino version as well. ...

Travel is exhausting

This is surprising because… well, we’re just sitting and the vehicle’s doing the work, right? But: Vehicles accelerate, brake, bump, turn, vibrate, … and our muscles micro-adjust continously so we sit upright. Over hours hours, that’s a lot of energy. We feel like we’re still. But the inner-ear fluids, eyes, etc. constantly get feedback about motion. That mentally drains us (and causes motion sickness). Noise from vehicles, traffic, … triggers cortisol, a stress hormone. That drains us. Sitting in one place restricts blood flow and it pools in our legs, making the heart work harder. In flights, the air pressure is low, lowering oxygen levels. The dehydration thickens our blood, making pumping harder. What helps is: ...

Agent Skills Usage

I have a bunch of coding agent skills I’ve accumulated over the last few months. Here’s how often my sessions use them: Skill Claude Codex Copilot Overall code 6.1% 69.1% 37.5% 51.5% data-story 48.7% 16.4% 37.5% 28.0% data-analysis 2.6% 35.2% 7.8% 21.8% design 25.5% 23.6% 14.1% 21.8% plan 8.5% 11.8% 14.1% 11.8% agent-friendly-cli 3.7% 13.8% 11.1% 11.2% devtools 20.4% 7.3% 9.4% 10.0% llm 2.5% 8.7% 7.8% 7.4% pdf 0.0% 7.9% 7.8% 6.6% linkedin-cdp 14.3% 0.0% 5.6% 5.3% uv-uvx 0.0% 9.5% 0.0% 4.9% interactive-storytelling 7.1% 2.7% 7.1% 4.6% demos 8.5% 2.8% 1.6% 3.5% cloudflare 0.0% 4.3% 3.1% 3.3% melt-mlt 0.0% 2.5% 1.6% 1.8% vector-art 2.5% 2.4% 0.0% 1.7% vitest-dom 0.0% 2.2% 0.0% 1.4% memorable-explanations 2.6% 1.6% 0.0% 1.3% npm-packages 0.0% 0.6% 0.0% 0.3% Here are my observations, with surprises highlighted as ⁉️ ...

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