Ideas for making AI useful.

In 2025, a 14-year-old named Vaibhav Suryavanshi walked out in the IPL and hit the fastest century the tournament had ever seen from an Indian, and one of the fastest from anyone. By the next morning every broadcast was asking the same thing: where did this kid come from?

A decade ago, people searched for information. Today, information searches for people. It appears in notifications, reels, swipe cards, AI summaries, YouTube Shorts, carousel posts, and algorithmic feeds. The modern user no longer “reads through” information. They scan, evaluate, react, and move on - often within seconds.

There’s a certain kind of freedom that comes with not spending on ads. No dashboards to obsess over. No rising Customer Acquisition Cost [CAC] to worry about. No panic when performance dips overnight. But more importantly, there’s something else you gain - something most teams miss when they rely on paid acquisition.

Building a product means making hundreds of decisions every week. Which feature to prioritize. Which page to simplify. Which flow is confusing users. Most teams make these decisions based on gut feeling and assumptions.

A few years ago, most company websites were static. Visitors would browse pages, maybe fill out a contact form, and wait for a response. Today that expectation has completely changed. When someone lands on your website, they expect the same responsiveness they get from messaging apps - quick answers, instant clarification, and sometimes even guidance while making decisions.

Enterprise deals rarely fail at the final stage. Most of them lose momentum much earlier - somewhere between the first promising conversation and the pilot agreement.

For a long time, we operated like many other companies: trapped in a "Frankenstein’s Monster" of disconnected tools. We had Github for tasks, Teams for chat, and gods knew about the documentation. Every month, we paid the "SaaS Tax" - hundreds of dollars for a team of 50 - only to deal with data silos, manual status updates, and a complete lack of universal visibility.

Every year, significant amounts are allocated to employee training. Workshops are scheduled, courses are completed, and completion certificates are issued. Once the training calendar is closed, value is often assumed to have been delivered.

Artificial Intelligence is reshaping the global mining industry faster than ever before, turning traditional operations into high-performing, data-driven powerhouses. What once felt like a distant possibility of autonomous fleet, realtime geological insights, predictive safety alerts are now becoming a competitive necessity.

Artificial intelligence is entering a new phase moving beyond conversational responses and into autonomous action. OpenAI’s newly released Agents SDK is at the center of this shift, giving developers the ability to build intelligent agents that can reason, plan, use tools, execute tasks, manage state, and interact with UI components.

In the digital era, the way people are seen in photos and videos has a huge impact—from memorable movie moments to everyday tools like facial recognition or security checks.

Artificial intelligence has transformed the game of chess. This blog explores the current landscape of chess AI, providing insights into building a basic chess AI from scratch and demonstrating how to leverage existing powerful AI engines through free APIs and libraries.