Journal, page 7
A new note every day: an app you might need, a feature worth adding, or a technology explained in plain words. Each one with sources.

Do you need a mobile app or a website?
A friend has told you that you need an app. Here is how to tell whether a website already does the job, and when an app actually earns its cost.

Spotting learning gaps by section, early
By the time the term exam shows 8-B is behind in fractions, a third of the term is gone. Catching it after the first unit test costs nothing but attention.

Proving energy savings with clip-on meters
You spent money to cut power use. Can you show, in numbers, that it worked?

Tamil-first citizen portals: a design checklist
Most portals are built in English and translated afterwards. That order shows. Here is a checklist that flips it.

What on-premise AI means, in simple words
No jargon: what changes when an AI system runs inside your own walls instead of on someone else's cloud.

Searching judgments with AI, safely
AI can cut hours off finding relevant judgments, but only if every result is checked against the real text before anyone relies on it.

ONDC for small sellers: should you join?
A customer has asked why you are not on ONDC. Here is what it changes, what it does not, and how to tell if now is the right time.

GST e-invoicing: what your software should do
If your turnover crosses the threshold, every B2B invoice needs an IRN from the government portal before it is valid. Your software should make that invisible to your staff.

Report cards that parents actually understand
A mark out of 100 tells a parent very little. Here is what actually helps them help their child.

Camera-based quality inspection: when it pays for itself
A camera that checks every piece never gets tired at the end of a shift. Here is when that is worth paying for.

Digitising a paper approval: what a permit portal really needs
Moving a paper approval online is not about the form. It is about what happens to the file after it is submitted.

Small, focused AI models vs one giant model
A single do-everything AI model is easy to buy, but a small model built for your one task is often cheaper, faster and more accurate.
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