Mm.

And so I've got a, um, a great comparison of two assessments of chicken where the only difference for the chickens is what they're eating.

But the difference in environmental cost is fourfold.

And so the, uh, it, it's, it's unlikely that most, um, chicken farmers or producers would have any idea which side they're on.

And so it's a, a really good risk mitigation, uh, piece where people can understand, okay, well, actually, there's a whole lot of deforestation in my supply chain, or there's, um, big biodiversity footprint that I didn't know about.

Uh, the second is, uh, businesses who are already exporting, um, into European and UK and actually US markets as well, because I think New Zealand's a bit behind on our requirements for nature.

But if you are exporting into these markets, retailers are, are requiring increasingly stringent, um, evidence of environmental performance.

Yeah.

And un- and while we're sort of talking about data, where are these data sources coming from, and, you know, how complicated has it been to sort of set this up as a tool that's been able to capture these data sources?

Yeah.

So when we're doing an assessment of a specific brand, um, we're using their business data.

So they give us the, you know, the electricity bills, the bills of material, you know.

So, um, uh, we've done the assessment of Raglan Coconut Yogurt.

It's quite a good example because, you know, they, they said, "This is how much coconut cream we import," and it comes from Indonesia.

But they didn't know how much electricity the coconut processing plant in Indonesia, uh, used.

What can people do with it, and what are your aspirations around it?

You know, so okay, I'm a novice, so what do I need to know, uh, you know, a novice educator, what do I need to know about the differences and why would I, you know, would I ask Claude, you know, when do I use you? Am I gonna get a real answer or...?

It, it's so interesting, because they're all programmed, you know, ChatGPT and Claude and Gemini and Grok and, you know, Poe and all the others that are out there, they're, they're all programmed to behave, um, certain ways, and they, they all behave a little bit differently.

Um, and so I, I started with ChatGPT because that's what came out, um, and so that's the one that I've really stuck with.

Um, a- and I, um, I would say compared to most everybody else, I'm probably a heavy AI user.

I have just started branching out into other large language models four years later, essentially.

So I'm tr- I've tried Gemini a lot this past year because it became embedded in my, um, workspace through my district, so we ha- we have Gemini.

And I, I like Gemini because it is embedded in my Google workspace, and so I can ask my chatbot questions about email or questions about my calendar or questions about my Google Classroom, and it's all integrated.

[laughs] It was one of the, one of the four or five you, you mentioned that it was over my head, you know? [laughs]

So

Health to House is like a foundation that grew into something where we really needed to provide a safety net and cover some really important pieces that were missing.

Things that I learned along the way as the apron mom of the community and just watching my boys within this industry, areas that were missing, such as like, say you fall ill and something happens and you can't work for several days straight.

And now you can't pay rent.

You're missing the ability to, like, cover a car payment or insurance.

Really important, necessary things.

So observing those details and what was missing, it just became a driver of making sure that people could have a means to just stay on their feet and press forward because that's the root of it.

What's happening in September? What's it going