Build Notes #6: We Shipped — YieldAI Global Is Live

AGRIVISION Build Notes — building YieldAI Global in public, one honest update at a time.

For five editions I’ve written the word “building.” This one is different: YieldAI Global is live.

YieldAI Global is now available in India, the USA, and Canada, with a free trial at yieldaiglobal.com. A farmer can ask a real question — about a crop, today’s market price, the weather, or a government scheme — and get a clear answer in their own language. That’s the whole promise, and it’s finally something you can use, not something I’m describing.

I’m not going to dress up the stage: we’re live, but early. No big user numbers to report, no revenue milestone. What changed is that the thing exists and works.

Last edition was about the unglamorous data layer — real government prices, curated schemes, exact crop data. This edition is what got built on top of it: the AI brain that reasons over that data and answers in the farmer’s own language.

The hard part was never making it sound smart. It was making it right — and honest when it doesn’t know — because a confident wrong answer can cost someone a season. So the rule is baked in: answer from real data, and for anything like chemical doses, send the farmer to their local agriculture extension officer. No exceptions.

A live product nobody can find isn’t worth much. So I spent this stretch making the company findable and useful: I rewrote the whole site to say “live” instead of “building” (and stripped out claims I couldn’t stand behind), and published a set of genuinely useful guides for farmers — which crop for flooded land, how to check today’s mandi price, government schemes explained — in English and Hindi, because most farmers search in their own language.

Marketing, done right, is just being useful before you ask for anything.

Live in three countries. A real product with a free trial. A founder-led company still at the very start of its commercial journey. The work now isn’t more features for their own sake — it’s getting this into the hands of the farmers and extension workers it’s for, and listening hard to what breaks.

What’s next: deepening the AI brain, early-warning alerts, and the extension-worker mode nobody else is building. But mostly: real usage, real feedback, real farms.

If you work in agriculture, extension, or agronomy — or you just know a farmer who’d try it — I’d genuinely love for you to put YieldAI in front of them and tell me where it falls short. That is the whole point of building in the open.