Tag: ai

  • Zo Computer

    Srikanth L introduced me to Zo Computer.

    He had used Zo Computer to augment his investigations into the bank.in breach and the Bank of Baroda breach. You can now contribute tokens that could run Zo Computer for investigations.

    Zo computer is like a cloud and AI rolled into one. It uses different LLMs to do the task. It also gives you some online hosting space. You can use this to build an app or a website.

    I have started using Zo Computer to send me two emails – one at the start of my day and another at the end of my day. The one at the start of the day gives me highlights of news from space, energy, and technical writing. It doesn’t do the best job at this. The one at the end gives me three to five thoughts to consider during the night and prepare for the next day. I like the questions it asks here.

    One of the blog posts Zo suggested was Yuki Watanbe’s blog post in Japanese. It talks about his year-long parental leave where he changed how he learned before and after this leave period.

  • World TechComm Day 2026 in Pune

    The Society for Technical Communications (STC) India chapter held the World TechComm Day 2026 celebrations simultaneously in Pune, Bengaluru, Hyderabad, and Mumbai on 6 June 2026.

    I went to the venue with Rakesh ettan in his car, Hatchi. We reached on time and met up with some former colleagues. One of my former colleagues was also presenting.

    Building a Strategic AI Roadmap

    The first session that I liked was on Building a Strategic Artificial Intelligence (AI) Roadmap for Technical Communication by Snehal Yerawadekar of Philips. The talk was about implementing AI in a technical communications team within a highly regulated sector – medical devices.

    Snehal began by talking about why AI matters in technical writing. She says that product and content complexity, faster release cycles, localization demands, and higher customer expectations. AI enables TechComm teams to meet this demand.

    She continues that an AI strategy must provide business value (align the AI strategy with the business unit strategy), focus on the key aspects (turn the priorities in the business unit into measurable outcomes), keeping with the trend (anticipate and adapt to the latest trends and review organizational policies and change existing business models to advance the TechComm team), and Collaboration.

    She then spoke about having an AI ready team (with an AI mindset), manage processes with Management, and leveraging technology by using solutions that align with the strategy. She then went ahead about how she used these principles to implement an AI strategy in Philips and the future projects that they are working on.

    Shifting Style Guides to AI Skills

    The second talk I want to talk about is Editing at AI Speed: Shifting Style Guides to AI Skills by Amruta Hungund at Salesforce.

    She begins by saying that human is at the center at Salesforce. It is AI + human. She says that all the style guides that technical writers so adore must be rethought of as a rules engine for AI.

    She says there are two types of checks one does against a style guide. One is deterministic checks (which are yes/no rules) like spell check, grammar rules, punctuation rules, mandatory format requirements etc., AI can fix these easily without needing a human in the loop. For probabilistic checks, like context and meaning, nuanced tone adjustments, logic flow and arguments, etc., it is better to have humans in the loop.

    She says that the Rules Engine does not need conversational essays on brand philosophy, basic grammar remediation, sometimes rules etc. She suggests that rules must have a list of negative constraints, versioning, product names, voice and tone, sentence simplification, etc.

    The style guide must then be optimized for the use as an AI rules engine. This means having conditions like “max_words_per_sentence”: 25 instead of “Avoid overly long sentences to ensure readability and clear flow.” After optimizing the style guide, she suggests using Google Gems (or your stand-in for skills). She defines a Gem as an addition of a prompt to a rules engine.

    She also suggests using a Gem to collect data from the style guide to optimize the Gem.

    She asked what was the job of human in the loop – governance, conflict resolution, and understanding the larger context.

    She suggested a podcast towards the end of her talk – The Culture of Writing podcast. Episode 30, in particular. But, it is a Salesforce channel podcast.

    Quiz

    I was part of a team that won a quiz. Mugdha (who took my interview at my present workplace), Rakesh, and I were in the team.

    We wrote answers in the first round on a piece of a paper as a team. After we submitted the paper, we ended up as one of four teams that was part of an oral round which we topped after breaking a tie-breaker.

    Overall

    We loved the tea and snacks at the venue. This was my first networking event as a technical writer and felt that it was quite well organized and I enjoyed the quality of people and conversations we had. I didn’t take any photographs. Will add them if I get them with due credits. πŸ™‚

    Snehal wrote this nice appreciation post on LinkedIn.

  • Kunal Shah on Wealth in the AI era

    Kunal Shah recently announced on X that he was taking a back seat in CRED to head WhatsApp Global. Meta also invested $900 million into CRED.

    He spoke at the Groww India Investor Festival 2026 in May 2026. This video was posted on their YouTube channel a few days back.

    If you assume that you do not have much control over the environment we are in today, then you should consider these points.

    Below are a few pointers from that talk:

    • Internet made information accessible. AI made intelligence accessible.
    • The largest employer in the world is inefficiency. The pace at which inefficiency is reducing is accelerating.
    • People are worried about job lay-offs. But, people must be equally if not more worried about per capita income not growing.
    • There is a big and increasing difference between people who use technology and who does not use technology. He gives the example of an auto rickshaw driver plying with and without technology. He claims that the driver who uses technology, he earns more.
    • People wait for corporations and governments to teach them about AI.
    • People must learn AI themselves. Everything is available. Bulk of the people use AI for frivolous use case (editing pictures and videos, talking to ChatGPT as a friend while getting rid of real friends, therapy, and astrology).
    • The most valuable wealth you have is time. How one spends the time is becoming more critical now.
    • We do not value time in India. For example, he states that there are no words for productivity and efficiency in Indian languages other than compound words.
    • Time is a post-industrial age concept whose importance India has not understood. Since Indians are not paid in hours, Indians think in months and not hours.
    • Shah claims that Indian internet usage is 35 GB per capita per month. It is extremely easy to waste time.
    • India has two extreme modes – panic or apathy. No modes in the middle.
    • Individuals must create a mission-mindset to think what we need to ride this wave. The time needed to do something or learn something has shrunk.
    • India has not built resilient industries.
    • India must increase participation of women in the workforce to increase the per capita income.
    • Individuals cannot say that they are not good with technology. Individuals must not make excuses. Do not take short cuts to success. Instead, build substance in yourself to become wealthy. Substance requires sacrifice.
    • Indians must become significantly more ambitious, more skilful, and understand things.
    • Notice that pain and struggle preceeds success. Removing that struggle makes success more difficult.
    • Privileged people need to take more risk. For example, if nothing failure as an entrepreneur can make you a great employee.
    • It is now possible to 10x your income.
    • You are the average of the 5 people you hang out with.
    • Protection by regulation will make India less globally competitive.
    • 90% of the code written by AI in CRED. 10% of the people in tech companies are infinitely ahead of 90% of the people because of the use of technology. These are the 10x people.
    • Final words on getting rich in the AI era:
      • Get extraordinary at learning.
      • Think of the people you are surrounded by. Think in terms of XIRR.
      • Think of yourself in terms of XIRR. Increase your XIRR.
      • Think of yourself as an app. Fix your bugs, make your features better, and ship constantly.
      • Learn tech from younger people. Learn values from older people.
      • Be extraordinarily adaptable.
      • Don’t waste your time at events.