Short conversational episode (Value First AI Daily, Nov 7, 2025) featuring George B. Thomas, Nico, and Chris. They discuss expectations for Google Gemini’s public availability (late November–before Christmas), gaps in higher-end/internal AI assistant quality, and the human skill gap in crafting layered, role-aware prompts and communication that deliver useful AI outputs.
Sam.
Good morning, LinkedIn friends, Value First Nation. Welcome to another Friday episode of Value First AI Daily, your collaborative AI intelligence report. November 7, 2025. Nico George, how we doing? Good. Good. Yeah.
Another day in AI. Another day of being human.
Another day, another day full of advance, full of some, some good news. Definitely have some, some awesome news from Google. Finally going to see Gemini towards the end of the year. I think it's going to be a later November drop, but they said like sometimes in the winter season, so it should be. Or at least sometime before Christmas. I at like, I'm a little bit, I'm a little bit surprised at how long it's taking for more agentic systems to be present in more applications. I know that sounds weird in that like, I'm sure everybody who uses like Google workspace and stuff is like what? It's everywhere. Yeah, it kind of is.
Right.
But there are some like higher end applications where it's missing or there's just higher end applications where it's not so great. Like one of the things that I'm noticing, I don't know if you guys have noticed the same thing, is that like the internal assistant models are lacking. Really not that great. Um, and some, and really like sometimes don't actually solve the problem or over complicate the solution. So I'm wondering like that's the thing is like when are we going to get to that point and is it really going to take the 100% accurate model or is it a case where we're experiencing like degradated. Sorry, degradated quality. Because whoever's behind the scenes maybe isn't like prompting or engineering the best?
I don't know. I think it's maybe who's in front of the scenes. Well, I think that's highlighting.
Yeah.
How much work mere mortal humans have to do on a daily basis to make up for their garbage systems and garbage data and just the amount of, you know, like shouting out to the other department and just doing whatever they can do to make sure they have the context they need so that when they do respond to the query from the internal stakeholder or the external customer, they're not going to screw it up. AI doesn't have that luxury.
Can I, can I go from. Because Chris, you went business, which you're always good at, going straight to business and like the complexities of all the humans. Can I go to individual human for a second? Because I try to pay attention to patterns and what I'm about to say, I say humbly and I don't think I'm special before I say this thing, okay? But I pay attention to patterns. And two, if not three times this week. This is a version of what I heard when I showed people the process of what I had done with prompting in certain scenarios around something for their business or something for our business. They said, dang those prompts. And I said, dang that communication. You see, there's, there's this thing that, and I'm trying to figure out how to talk about it, but you have to be smart enough, wise enough human to understand the layers that you need and the ability to communicate in the way to express to an artificial intelligence or let's just say intelligent assistant, just like you would a human to get what you need. And like, you go on YouTube and you see everybody talking about these formulas rolls and it's like, as a human, do me a favor, just go take some time, the weekend, a week to just understand basic human communication, human communication. Okay, then second thing is take the weekend or a week to understand all the layers of people that you've been paying to do the shit that you've been getting done before and what they needed to know. Like, historically we've talked about T shaped marketers. You have to be a T shaped human. I know a lot about this thing, but I know a little bit about these things. So when I go to prompt, I'm like, hey, I want you to be a professional writer that understands SEO, AEO and geo. I also want you to understand the goal that we're trying to achieve is that we're writing something that is reader optimized first, SDO optimized second. And then I want you to understand our goal is for them to have this transformational moment. Like, what is the information that we should think about or talk about when we're building out this concept on xyz, by the way, it's like a freaking verbally talked brief that I gave to the assistant, the intelligence, right? And so like you could have the most dopest AI and if you can't communicate with it and if you don't know the layers, you're gonna get a big fat turd back at you. Okay, I'm done.
No, that's, that's right on. And that's, I mean, like it's even the reason why I mentioned it in the first place is I think, and I don't, I don't know for sure. So you guys would be able to tell me which. It doesn't sound like it for YouTube and that's probably just because you guys are a little bit more experienced, but I'm wondering whether or not you feel that this is the blockade. Simple as it may be for myself, dictation has increased not only the length or breadth of the prompt, but also, like, the level of context.
