Why this exists
AI is moving faster than anyone can keep up with, and most coverage makes it worse — either buried in jargon written for engineers, or breathless hype designed to make you anxious. This site is the opposite: the AI world explained in plain language, in a few minutes a day, so you finish feeling informed and calm instead of behind.
What you'll find here
- AI News — what actually happened, in plain words, with the "why it matters" most coverage skips. Summaries are AI-assisted and editor-reviewed (details below).
- AI Explained — evergreen answers to the basics: what an agent is, how these models work, the vocabulary decoded.
- Tools — hands-on calculators that make abstract AI questions concrete.
Who writes it
I'm Rahul Nayak, a content and publishing operations leader. For 5+ years I've built and run large-scale content operations, and today I lead a 50+ person team spanning content, SEO, and platform operations for the US and UK markets at Forbes Advisor. I work hands-on with AI implementation every day, using these tools to run real publishing workflows at scale, not just to talk about them.
I started this site because the smart, busy people around me — colleagues, friends, and family here in Navi Mumbai and beyond — kept asking me the same thing: what does all this AI actually mean, and what's worth paying attention to? This is my answer, in plain language. I use AI tools every day, and I'm open about how they're used here: see how the summaries are made below.
How the news summaries are made
Our summaries are drafted with AI assistance from the linked source and reviewed by an editor (Rahul Nayak) before they go live. To keep the feed timely, a story may occasionally be published automatically after the review window closes. Every summary links to its original source. If something is wrong, tell us at contact@nibblefeed.co.
Explainers and the timed tests are published under my name. AI tools may help with drafting and research there too.
How we source and write
- Plain language first. If a term needs a glossary, we explain it on the spot.
- Honest sourcing. We credit and link the original reporting or announcement, and prefer primary sources.
- Ranges over false precision. Where facts are uncertain, we say so rather than inventing a clean number.
- Signal over dread. We cover hard topics honestly, but won't turn AI into a daily anxiety feed.
Get in touch
Questions, corrections, or ideas: contact@nibblefeed.co, or visit our support page. Corrections are made promptly and noted. See our editorial standards.