Grant Harvey

Like you said, the incentives are aligned.

I also think another thing that you mentioned is important.

So the experience that you described as far as multimodal, technically me as the customer, I could go to Gemini or I could go to ChatGPT and I could ask for help with like, let's say, like, let's use the Russia example again.

with this automated sprinkler and try to get it to help me.

I could take my phone, I could film and be chatting with it live.

But that's an experience that is very generic.

It's relying on web searches.

It doesn't have all of the integrations and the hookups that the backend version that you've set up does.

And it's not through Rasho.

Rasho can create a unique relationship with their customers by offering that service directly inside their app.

So I think that that's key.

It's like, yes, these capabilities exist in regular chatbots, but this is now a service that me as the business owner can white label or provide and provide a deeper relationship with it, which I think is pretty valuable.

So how do you decide what AI should handle versus maybe what needs to be hard coded on the software or what a human needs to do?

We talked about this a little bit, like with the expertise side, but I'm just curious from a tech perspective, how you think of it?

Yeah, I have so many questions related to that, like in terms of like, do customers have a preference?

Are they saying, I only want Gemini?

Or do they just never care because they just are looking for the outcomes?

And then, you know, how do you make sure that, you know, maybe OpenAI's models respond correctly with the right answer every time, but maybe, you know, Claude's doesn't, or maybe Gemini doesn't, like, or vice versa?

Right, that's good.

And then as far as the hallucinations go, I mean, you mentioned like 99.8% accuracy responses.