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7 Overlooked AI Feature Updates and Their Strategic Business Impact
It’s increasingly common for the latest AI headline to spotlight major model launches or tech industry drama. Yet, what often goes unnoticed are incremental but high-impact feature updates quietly rolling out across widely used platforms—features that directly enhance workflow automation, data analysis, and creative outputs. The following insights are distilled specifically from the recent “Everyday AI” podcast episode, focusing on seven targeted AI developments that have tangible value for business leaders.
AI Automation: Operating Business Apps from the Command Line
Google Workspace CLI introduces the ability to manage Google Drive, Gmail, Calendar, and other Workspace apps directly from a terminal interface. Designed for both humans and AI agents, this tool provides a singular interface to automate repetitive tasks—such as sending emails, organizing data, or scheduling meetings—without manual navigation through different apps.
Business Value:
Teams with heavy automation needs—executive operations, analytics, marketing, and IT administration—gain a central hub for task management. By integrating with Natural Language Processing tools like OpenAI’s Codex or Claude Code, users can now direct routine functions using plain English, lowering technical barriers for non-developers and eliminating manual bottlenecks.
Enhanced Coding Productivity: Codex Desktop for Windows
OpenAI Codex, previously Mac-exclusive, now runs natively on Windows with PowerShell support. As a full-featured integrated development environment (IDE), Codex does more than code writing. It allows access to local files, terminal control, parallel agent tasks, and advanced automations inside a familiar ChatGPT-style interface.
Business Value:
For product managers, developers, and tech leads juggling multiple workstreams, Codex facilitates faster shipping of internal tools and code reviews. The ability to steer AI agents through complex, long-running tasks with minimal context-switching increases productivity and reduces friction in day-to-day operations.
AI-Driven Design: Direct Editing with Google Stitch
Google Stitch stands out as a free, web-based design and prototyping tool allowing direct edits on AI-generated screens. Users can upload assets, annotate, adjust text, drag elements, and swap images—all in real-time—without starting from scratch or relying solely on prompt-based revisions.
Business Value:
Marketers, designers, and founders creating landing pages or app mockups benefit from significant efficiency gains. The export functionality—directly to code or popular development environments—translates design work into executable assets quickly, shrinking the gap between conceptualization and launch.
Project Management AI: ChatGPT Projects and Flexible Source Integration
ChatGPT Projects now supports sourcing data from a broader range of inputs including pasted text notes, Slack URLs, and Google Drive links. Project teams can dynamically attach documents or meeting transcripts, automating data ingestion for ongoing projects.
Business Value:
Project managers and analysts tasked with synthesizing information from multiple sources can set up continuous workflows—such as daily meeting recaps or collaborative resource pools—without repeated manual updates. This reduces time spent on administrative work and ensures up-to-date context for AI-assisted decisions.
AI Photography for SMBs: Pamele Photoshoot
The Pamele Photoshoot feature leverages AI to transform standard product photos into high-quality marketing assets. By uploading a basic product image, teams can access an array of studio and lifestyle templates, tailoring shots for various campaigns without in-house creative resources.
Business Value:
Small and medium-sized businesses engaged in e-commerce or direct-to-consumer marketing can produce professional-grade visuals—model shots, clean backdrops, and contextually styled images—without third-party agencies. The system’s ability to scrape brand identity from a company’s website ensures consistency and saves setup time.
Reducing AI Hallucinations: Model Council Cross-Checking
Perplexity’s Model Council introduces a system for simultaneous multi-model querying and result synthesis. By running one input through multiple advanced AI models (Claude, GPT, Gemini, etc.), and surfacing agreements and disagreements, Model Council enables greater validation of AI-provided insights.
Business Value:
Executives and consultants making high-stakes strategy or research decisions benefit from a reduced risk of single-model blind spots. The comparative reporting format clarifies where information is consistent and flags outlier conclusions for further review.
Dynamic Document Insights: Cinematic Video Summaries in Notebook LM
Notebook LM’s Cinematic Video Overviews—available at the Google AI Ultra tier—transforms documentation into animated, visually rich video presentations. The system acts as a creative director, determining narrative structure and visual style to convey complex information with clarity.
Business Value:
For leaders needing to communicate data-driven insights or research findings, cinematic overviews offer more than static summaries. Visually engaging outputs help drive understanding and retention across teams, supporting faster and more confident decision-making.
Conclusion: Maximizing Value from Under-the-Radar AI Features
The recent wave of AI feature updates delivers exponential value not by making more headlines, but by embedding automation, validation, and creative output into everyday business tools. From controlling administration via the command line to orchestrating cross-model insight validation, these targeted enhancements allow companies to stretch the value of both human and machine effort—often with zero or low additional cost for adoption. The pace of meaningful, workflow-focused AI improvement is accelerating; strategic awareness and early adoption of these features will be a defining factor for operational effectiveness in the near term.
Topics Covered in This Episode:
- Google Workspace CLI Terminal Automation Launch
- OpenAI Codex for Windows PowerShell Support
- Google Stitch Free Direct Design Edits
- ChatGPT Projects New Source Integration Features
- Pameli AI Product Photoshoot for Marketing
- Perplexity Model Council Multi-Model Crosscheck
- Notebook LM Cinematic Video Overviews Release
Episode Transcript
Jordan Wilson [00:00:16]:
If you follow AI developments, you already know it's next to impossible to keep up. But I see the eyeballs and attention are generally attracted to the same few things. The AI news stories with huge implications, the big tech drama, and the next big model. But here's the reality. So much of our day to day benefits from using AI don't really hit any of those three categories. Sure. The next big model is impactful, but it's usually the incremental steps, features, and updates along the way that make a compounding difference in what we're all able to collectively accomplish. And to be honest, we've kind of been dropping the ball on that part here on the Everyday AI podcast.
Jordan Wilson [00:01:05]:
But that changes today as we're trying out a new segment, going over some of the most impactful AI updates over the past few weeks. So today we're gonna be recapping the seven huge AI feature updates that you likely missed, and let's just get straight into it. Here's what you're going to be learning on today's show. So you're gonna learn how AI is moving from chat to actually operating your work apps, how the grab the mouse controls can finally fix AI design's biggest weaknesses, how controlling Gmail and Drive from your terminal unlocks real automation for humans and agents. I'm excited for that one. And how an AI council approach can reduce hallucinations using model cross checking, and last but not least, how your docs can become cinematic videos instead of static summaries. Yeah. If any of those things you're like, wait.
Jordan Wilson [00:02:02]:
Yeah. I want that. Alright. We're gonna go over it. This show is going to be a fast and a furious one, but welcome to Everyday AI. If you're new here, my name is Jordan. I'm the host, and we do this thing every day. It's your daily livestream podcast and free daily newsletter helping everyday business leaders like you and me keep up with the tsunami of updates.
Jordan Wilson [00:02:23]:
I tell you what matters, what doesn't to grow your company and your career. So, it starts here with the podcast, but stick it a take it to the next level. And to be the smartest person in AI at your company, make sure you go and subscribe to our newsletter. Alright. Maybe I've let you down. I've been thinking a lot about, you know, this podcast, what we cover, what we don't cover. And I realized something, that the new AI at work on Wednesdays, has been a really popular series. Right? Both you all tell me, and it's, you know, usually each week, it's one of our most listened to shows, and so is our Monday news recap.
Jordan Wilson [00:03:04]:
Right? But I noticed a lot of the kind of large language models or big AI features don't always make the Monday news recap shows. Right? Because a lot of times, it's the, you know, the big job implications, the, you know, the the the sanctions going against these big companies and, you know, the, oh, here's the next big model. Right? Those kind of the things that I was talking about at the top of the show. And then at the end of the AI news stories, we have the kind of what's news and and and what's next. So essentially, any given day or sorry, any given week, there's probably at least a dozen noteworthy AI updates. So they either end up as a very short one bullet point in the show, or we choose one of those 12. And then we spend a whole episode on it on, Wednesdays during our AI at work on Wednesdays. And I'm like, that stinks.
Jordan Wilson [00:03:57]:
Right? Here I am with a daily podcast, and I probably can't keep most of you up to date with the features that actually matter. That's why, you know, for the Wednesday show, especially over the past three months, because there's been so many useful updates, many of them free, many of them simpler than ever to create just extremely valuable output. You know, when it comes to planning my Wednesday show, I am just like, oh my gosh. What am I gonna do? Well, maybe this new segment doesn't have a name yet. So if you guys like it, you can help me name it maybe in our, inner circle community. But, that's kinda why I'm doing this. So let's jump in and, you know, see if this thing works. Alright.
Jordan Wilson [00:04:38]:
This is not gonna be an overly, visual episode, but I am gonna be sharing, my screen and going over a couple of things here. If you are listening on the podcast, I'm gonna do my best just kinda describe. So here they are, the seven new AI updates that you probably missed because they weren't grabbing the headlines. Alright. First, and this one's like brand brand new. I haven't even gotten a chance to try this one yet, and I'm stoked about this one. So this is the Google Workspace CLI. And if you're not a developer, you're probably even like, okay.
Jordan Wilson [00:05:14]:
Well, what does that even mean? Google Workspace CLI. Alright. So that's the, command line interface. But, essentially, what this is is it allows you to interact with Google's workspace just in the terminal. Right? So this is, the way that Google describes it. They say it's one CLI for all of Google workspace built for humans and AI agents. So it gives you access to drive, Gmail calendar, and every workspace API and 40 agent skills included. So, okay.
Jordan Wilson [00:05:51]:
Why does it matter? Right? So obviously if you're a developer software engineer, what I just said, it probably instantly resonated with you. And you're like, oh my gosh, this is amazing. Yeah. It's been out for not even twenty four hours. And it's not getting a lot of headlines obviously, because it's a command line tool. But here's why that's extremely powerful. Because of some of the newer updates like OpenAI's codex, you know, Claude Code, even, Claude Cowork. Well, those three different tools, you can talk to in natural language, and they can actually power and control your terminal.
Jordan Wilson [00:06:32]:
Right? So, I've actually reached out to a couple people at Google to get some clarity on this just because there's not a lot of info. Right? There wasn't a big blog post. It was essentially a tweet and a link to the GitHub, which, I've read. But for the for from what I understand about this and, again, like I said, this came out just fresh, and that's why I'm excited to talk about it. Usually, with these things, right, because from the Wednesday show, I spend so many hours. So some of these, it's more like, okay. I've used most of them. Some of them, if they're brand new, I haven't.
Jordan Wilson [00:07:02]:
But as far as I know, this will literally give you the ability, once you kind of install this via GitHub. That's very easy. Right? If you don't know this, go ask Chad GPT or Claude or Gemini, hey. How do I install this, you you know, this Google Workspace CLI in my terminal? Walk me through it like I'm 12. Right? And you'll be up and running in no time. But this essentially allows you to automate those repetitive Google Workspace tasks fast, ideal for anything, executive ops, analysts, automation heavy teams, marketing. Right? But, yeah, as far as I know, you will now be able to control your Google Workspace, right, if you have the access and ability, all that good stuff, from the command line, from your terminal, and also from third party apps that can control the terminal. Right? So this opens up just, I think, a world of possibilities.
Jordan Wilson [00:07:55]:
So, you know, just that unified terminal tool for drive, Gmail, calendar, sheets, docs, chat, and admin. And I think, you know, obviously, you know, who's gonna find value in this? Well, I think a lot of people I think if you can get over the hump of, like, oh my gosh. This is living in the terminal, which is not a big deal, especially when you can talk to your terminal in natural language and codex, quad code, you know, co work, etcetera. But, I mean, IT admins, rev ops people, analysts, founders, you know, a lot of people I think are gonna find some big value here. Alright. Let's move on to number two. So kind of related. I just said the word codex.
Jordan Wilson [00:08:37]:
Right? This is open AI's, kind of vibe coding tool, right? It's more than that. It's a full blown, IDE, but it's really good. All right. So a lot of people are comparing open AI's codex, to Claude code. And I'd say probably not a fair comparison. I've been advocating and, you know, even chatting with some people in the OpenAI team and encouraging them, to market it this way. I think it actually sits between Claude Code and Claude Cowork. The majority actually of what I use, codex for, well, it's probably now more fifty fifty is things that I would be doing in Claude Cowork.
Jordan Wilson [00:09:23]:
Right? People don't understand the skills, automations, and schedules that you get inside of OpenAI's codex is great, and it's actually an extremely easy tool to use. Right? It looks just like chat g p t. Right? I kinda wish, that OpenAI did something similar to anthropic and, you know, how anthropic the desktop app. So this is, the new update here is obviously it's available for Windows. It's been available for, for Mac for, about almost, five weeks now. Right. I kind of like in in Propix version, in their desktop. It three little tabs at the top, it says chat, cowork, code.
Jordan Wilson [00:10:04]:
I kinda wish that it was just chat g p t one app, and you could click between chat and codex, and I think way more people would use it. Anyways, it is its own dedicated app, but it looks and it functions pretty much like ChadGPT. And there's actually a lot of things in there, features that I would normally go to chat g p t for even, like, data analysis. I really just do that in codecs. One of the reasons why. Right? Like, I talked about automations, skills, things you don't have built in inside chat g p t. But then also even simple things like, you know, being able to steer the model midway through. Right? You can send 10 prompts if it's if you know it's a task that's gonna take many hours, you can send 10 prompts and, you know, click the steer button to steer it along the way, which is really cool.
Jordan Wilson [00:10:50]:
And aside from that, well, it's the only model or the only way that you can get the, access to GPT three codex. Alright? Yes. OpenAI released GPT three instant. And any minute now, they're gonna release, you know, GPT three thinking, GPT five or sorry, GPT five three thinking, GPT five three pro, etcetera. And, you know, we already seeing rumors about GPT five four. Regardless, codecs, I think, is a game changer, and now it is available for Windows. So it does run natively with PowerShell support. You know, so what's new in here? Well, it's just a dedicated workspace for, parallel agents.
Jordan Wilson [00:11:34]:
Right? That's the best way to describe it for long running tasks and reviewing results centrally. And the biggest thing, obviously, is you can give it access like I already talked about giving it access to your terminal, but you can give it access to any files on your computer, any folders on your computer. Right? One thing I'm always doing, and I've been talking about this a lot over the last couple of weeks, anytime I'm recording a show, I usually have Claude Code, and Codex going at the same time. And a lot of times, they're just auditing each other's work. Right? Which is kind of fun for me, and it's great, I think, practice on, having a better understanding of, you know, where the, you know, true power is in each one. But I think this just helps people ship things faster. And it's not just shipping software, shipping vibe coded tools. Yes.
Jordan Wilson [00:12:19]:
But shipping anything. Right? For me, it's shipping insights from spreadsheets way faster. You know, and the ability to keep tasks separated and also reduce context switching. So who's gonna find this valuable codex in Windows? Well, I mean, developers, product managers, tech leads, coordinating multiple work streams. Right. A lot of people are gonna find huge value here. Alright. Next.
Jordan Wilson [00:12:45]:
My gosh. I freaking love Stitch. Alright. You might be thinking like, what the heck is Stitch? Well, it's Google's this is absolutely free. Right? The first two, sorry. I should have mentioned this. Google Workspace CLI, that's free. It's open source as well.
Jordan Wilson [00:13:04]:
Should have mentioned that. Codex, not free. You do have to have a paid, account right now. And then, now let's get to Stitch. So the new update here is direct edits, and Stitch is free for anyone with a Google account. And if you've never heard of Stitch in general, it's a I don't even know how to describe it. It is one of those things that I don't understand why this why Stitch is not, like, one of the most talked about, tools ever. Maybe it's just because it, like, really hits me and, you know, some different things that I'm working on.
Jordan Wilson [00:13:42]:
I would call it, like, vibe designing. Right? There's certain things in Canva that I wish would actually work. Like, you can put it in a prompt, and it kinda stinks. So this essentially, it brings the power think of, like, nano banana, right, and then turning that into a design, that you could ultimately ship. Right? Code. Right. Yeah. Like, a lot of people I know are just it's so good even though it's meant, I think kind of to, you know, ultimately live, an in a coding environment.
Jordan Wilson [00:14:15]:
Right? A lot of people use it just for design. So you can upload, you know, photos, you know, ask for, you know, different edits. So kinda like you would in nano banana, but then you get an interactive canvas, right, that you can drag things around. But the new, update here is the direct edits. So this just gives you manual control over the AI generated screens that pop up. You can edit the text, swap images, you know, target certain element updates. You can annotate things. So this is huge.
Jordan Wilson [00:14:46]:
And one of the reasons why I'm absolutely loving it, and I think you will too. Right? A lot of what I was doing in Stitch is I was having to do a lot of, you know, prompting, right, just through dictation, you know, describing things to a tee because you didn't have, these direct edits capability. So now you can just, you know, select any screen, you know, because it you can say, hey. Build me an entire app based on this photo, based on my website, and it'll give you five, six, seven, eight screens, and you can kind of choose that and have a little, finite control. But then you can enter this kind of direct edit mode on the screen and make precise changes without having to regenerate everything every single time. That's huge. So if you have used, inside of AI Studio, they have something similar. Google's AI Studio, in Canvas mode in Google Gemini, they have something, similar.
Jordan Wilson [00:15:38]:
And now Stitch has it. Stitch low key, one of my most, like like, mind blowing. Right? Every time I'm using it, I'm like, this is amazing. Right? I kind of call it, like, you're playing prompt loop, prompt roulette a lot of times, before this, you know, just because you have to regenerate something. If you think of, you know, iterating inside of, Nano Banana inside Google Gemini, you know, before you had the the ability to update slides, in, notebook LM via Google, via Nano Banana, the same thing with, Chativity's image gen. Right? Now it's much better. So who's gonna find value in this? A lot of people. I mean, designers, marketers, founders who are just publishing landing pages.
Jordan Wilson [00:16:20]:
If you're working on an app mock up. Right. For me, one thing I use this for now all the time is doing front end, for, you know, things that I'm vibe coding. Right? I build myself software kind of all day. And, you know, before Stitch, it took a lot longer. You had to do a lot more prompting, you know, more screenshots, more this and that. The great thing about Stitch is you can export it as code, you know, as a zip file, and then you can upload it into, you know, cloud code or codex or anti gravity, whatever it is you use. Alright.
Jordan Wilson [00:16:53]:
Let's keep going. The next one might sound like a small update, but I think this is actually a huge quality of life update. And again, unless you read our newsletter top to bottom every day or unless you read the chat g p t release notes, you didn't know about this. So this is small, but this new update here is inside of chat g p t projects, and this allows you to use sources from anywhere. So you do have to be on a paid plan to get full advantage of this, but here's what's new. You can add project sources from other apps, save chats, or just pasted text notes. That one, I'm like, my gosh about time. Right? Just about everyone else has had that except for, OpenAI's Chat GPT, but that's not all.
Jordan Wilson [00:17:42]:
Not just the ability to paste in, you know, a a wall of notes like you would inside of notebook l m, but you can paste Slack URLs. You can paste Google Drive links, which is great. And I think, you know, one of the things here is just the ability, like, for me anyways, being able to paste in Google, doc links, that are dynamically generated. Right? Because then you don't even have to worry about it. Right? So let's just say that you have a, a a weekly or maybe a daily stand up meeting. Right? If you're use some simple automation, Zapier, or maybe there's a direct integration, you know, with Google Docs, with whatever, you know, if you're using Google Meet, obviously, you can do this almost automatically. Right? But you can have that transcript automatically without you having to do anything, go to a certain Google Doc as long as you've added that Google Doc to the project. Right? It's like being able to talk with your daily meeting without you having to do a single thing.
Jordan Wilson [00:18:42]:
Right? You don't have to update it every day, every week. No copy paste. Do it once. It's there. So who's gonna find this helpful? Well, anyone that uses Chat GPT projects. Right? I love Chat GPT projects. This is my, kind of ongoing reminder to myself even that, you know, there's really no use no reason anymore not to use projects. Right? If you took our, updated PPP, prime prop polish course, you know exactly why because there's a lot of new features and functionality even just within projects that have changed a lot.
Jordan Wilson [00:19:15]:
Some things that were restricted three or six months ago are no longer restricted. So, like I said, the ability to paste a a Slack, channel or Google Drive, file or folder and add it directly as a source is huge. And just like I said, sometimes you just wanna be able to copy and paste bunch of notes. Right? One thing that I'm starting to do now a little bit, I'm a huge notebook l m user. Right? And I paste in just large. Right? I'm talking, like, 50 pages of text at a time. So now I can go back, grab that out of notebook l m in my sources, and throw that into a chat gbt project pretty quickly because I probably copy and pasted all that content from a lot of different places. So I'm a big fan of this update.
Jordan Wilson [00:20:02]:
Alright. Next, this one did go viral. When they announced it, it actually went more viral than the huge project that it was announced with. Right? Gemini 3.1 pro. This actually got way more traction online. So this is one that maybe didn't slip under, the radar too much, but I think it was more of just a blip on the radar. Right? It had all the attention for, like, an hour, and then I'm just wondering. I'm like, is anyone actually using this? So this new update is Pameli photoshoot.
Jordan Wilson [00:20:36]:
So if you don't know Pameli, it is a straight up powerhouse. If you are a, small business owner, if you work in marketing, you know, any SMB, I think this is great for, you know, those smaller companies that maybe don't have the budget. You don't have, you know, a 100 people on your marketing team, you don't have a creative agency that anytime you can just go get, you know, good photos, well, Pamele, Pamele photo shoot helps you do that. So, Pamele has been out for a while, but this new photo shoot feature is amazing. So, essentially, it allows you to turn basic product photos into professional studio or lifestyle marketing images. So, you know, kind of showing the, the livestream audience here in example. Right? So, in this example, you know, someone's just, uploading a photo of a product. Right? Not a great photo.
Jordan Wilson [00:21:29]:
It looks like something you just upload, you you know, with your iPhone. Nothing special about it. And then it's going to do some automatic, you you know, scanning of that photo, and then it's gonna suggest shot templates. From there, you can kind of choose the different shot templates, and then instantly, you're gonna have great looking photos. Right? So, you know, being able to instantly take any product, you you know, this is great for product photography, obviously, but I think there's a lot of other use cases. But even just thinking about product photography, right, especially if your company sells products or services. Right? So in this example, it was face cream, then there's a nice, you know, white studio backdrop, then there's, you know, one that places the, product, you know, kind of on a stone table with some flowers. And then there's a model, you know, applying the face cream, and then you can edit and iterate with those in natural language, as well.
Jordan Wilson [00:22:26]:
So this is, not available worldwide, but it is available in a lot of, beta regions, like The US, Canada, Australia, and New Zealand. So these Google ones, you do, sometimes have to opt in via Google labs, and they are, you know, for the most part of things in labs are free. But the other thing, and this is not new in the, Pamele photo shoot, but the way Pamele works in general is you can just upload your website and it essentially imports your business DNA. Right? So you do have to, you know, give it access. Right? But you can just enter your website. It'll go scrape all the photos, your brand identity, everything. Right? So that's Pomelli in general, and you could make a lot of difference, you you know, valuable assets. But the new photo shoot is a little bit different, and it's amazing.
Jordan Wilson [00:23:18]:
Right? So, the ability to get those studio quality creative, without the expensive shoots. So who's gonna find value? A lot of people. Like I already said, I think small teams doing ecommerce, DTC, local business marketing that have limited creative resources. This is one of those. I think it's kind of like the, the only limit is your imagination. Alright. Next, one that I might do a show on soon because I personally am loving this one. Because before model council came out from perplexity, I was doing this manually.
Jordan Wilson [00:23:58]:
Right? I was actually trying to build something like this. And so, you know, luckily, you know, perplexity did it and don't have to use my janky version. But what is model counsel? So in short, it's just runs multiple frontier models in parallel, and then it synthesizes those different results into a single comparative answer. So you send one query to several models, then it combines the outputs and highlights agreements and disagreements. Right? Pretty good, kind of, comparison here. So, you know, perplexity on their, announcement here saying, you know, your query runs across three of the models available on perplexity at once, such as Claude Opus four six, GPT five two, and Gemini three. I think they have Gemini three one now. And then a synthesizer model reviews the outputs, resolves conflicts where possible, and gives you one answer that shows where the models agree and where they differ.
Jordan Wilson [00:24:59]:
So that's cool. It literally gives you a chart. You know, it gives you a finding, and then was that finding confirmed in this example on Chad GPT, on Claude and on Gemini, and then it gives you evidence for each. And then it also gives you where the models disagree, which which is great because then that's where the expert driven loop comes in. Right? You need to go in and find those things, and then it also gives you unique discovery. So if you think of kinda like, you know, Venn diagrams and the crossover, it's kinda like that. Here's where everything agrees. Here's where some of them agree, and here's where some unique findings.
Jordan Wilson [00:25:34]:
The downside right now, access. Yeah. You gotta be on the perplexity max plan, which is crazy expensive. $200 a month, but you also get access to, the, perplexity computer, which we reviewed on yesterday's show. One of the more impressive AI tools I've ever used. The downside, yeah, it eats through credits like I eat cereal for dinner. Just ridiculous. So, I mean, why is this helpful? Well, it reduces that single model blind spot.
Jordan Wilson [00:26:05]:
It's better for research strategy and high stakes decisions and just, you know, it's it's not a way to completely get rid of hallucinations, but it is an easier way to reduce hallucinations, you know, kind of out of the box. So who's gonna find value in this? Well, just about anyone. Executives, analysts, consultants, you know, anyone that needs to do, that is generally using a lot of models, multiple models, thinking models, specifically, if you need high accuracy, model console is one that you probably should check out. Alright. Last but not least, this is one, you know, live stream audience will be able to see it a little bit more, but the new feature, this one is also hot off the presses. It is notebook l m cinematic video overviews. So the video overviews from, notebook LM are great, but now. At least on the upper tier, there is the cinematic video option.
Jordan Wilson [00:27:10]:
So, yeah, unfortunately, this is only for, people who have, Google AI Ultra. So that is the $200 a month plan, but here's what new what's new. So it generates cinematic video overviews from your sources expanding beyond text summaries. So the general video overviews are still really good. Right? But there's not a lot of, you know, motion motion graphics, and that's really what this is. So let me just, kind of read this, one paragraph. That'll hopefully explain it a little bit better. So this is from, Google's, the keyword.
Jordan Wilson [00:27:44]:
They said using a combination of our advanced AI models, including Gemini three, Nano Banana Pro, and v o three, cinematic video overviews generate fluid animations and rich detailed visuals to help you learn and engage with the topics you care about. Gemini now acts as a creative director, making hundreds of structural and stylistic decisions to best tell the story with your sources. It determines the best narrative, visual style, and format, and even refines its own work to ensure consistency. So, looking at some of the examples, of this that Google shared, I mean, it's really good. Right? Some of these, graphics, right, I'll just kinda play, You know, to to be able to see, things animate in real time that are AI generated, like, data in a graph, really good. Right? So the general video overviews, you know, you get some of that, but you don't get that motion. You don't get that high quality. And now, apparently, you have Gemini acting as a creative director making hundreds of structural and stylistic decisions to get you a better version.
Jordan Wilson [00:28:59]:
All right. Y'all that's a wrap. This was a quicker one. So do me a favor. Let me know. Do you like this kind of show? If so, maybe I'll make it an ongoing thing. So maybe leave a comment if you're still listening on the live stream. Just say, add on.
Jordan Wilson [00:29:19]:
Say, what are we gonna do? Hot or not? We'll do hot. Hot or not. There you go. So just, you know, say hot if you love this. If you want something like this, maybe once a week, just say not if this is not your thing. Like I said, I do think and this is just an example. Seven, I think, huge AI features. Right? And today, we kind of covered the gauntlet.
Jordan Wilson [00:29:41]:
You know, whether you're a designer, whether you're software engineer, whether you're a nontechnical person, whether you're, you you know, in front of spreadsheets all day. I think some of these updates, like I said, some of these updates are more important than whatever the next model is gonna be. And, you know, like I said, our our new show on Monday, a lot of these things are just literally one bullet point. No explanation, no nothing. And then, you know, Wednesdays, we choose one of them, but there's so many now. Right? The pace of AI and the useful, helpful features that can greatly expand what you and your team can do, it's like every day there's multiple of them. Whereas, you know, two or three years ago, the you know, it's like maybe you get one a month. Now there's multiple a day, so it's hard to keep up.
Jordan Wilson [00:30:26]:
So if you do like this show, I don't know, say hot. I should've came up with something better. Right? This is unscripted, unedited. So, you know, let me know if this is something that you think we should do. If you have ideas, let me know. I hope this was helpful. If it was, make sure you also go check out our 2026 AI prediction and road map series, episode seven twelve, seven thirteen, then go sign up for the free daily newsletter. We're gonna be recapping today's show and a whole lot more.
Jordan Wilson [00:30:53]:
Thank you for tuning in. Hope to see you back tomorrow and every day for more Everyday AI. Thanks, y'all.