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Top AI Tools and Releases of 2025: Insights for Business Leaders
2025 has ushered in a new wave of AI advancements specifically designed with the everyday business user in mind. Rather than focusing on technical jargon or niche developer solutions, the following insights break down the top AI tools and releases, highlighting exactly how they deliver tangible value to business operations, decision-making, and strategy.
AI Tools for Business Operations: Productivity and Automation
Businesses are faced with a flood of new AI tools each year, but only a select few have proven real utility for operational efficiency and workflow automation in 2025. Notably, the Microsoft 365 Copilot Agent Modes introduced autonomous task execution across Word, Excel, PowerPoint, Outlook, and Teams. This embedded assistant maintains persistent context, learns repetitive tasks, and delivers seamless workflow delegation—directly impacting the speed and accuracy of report generation, data synthesis, and internal communications.
Meanwhile, Google's Gemini Canvas Mode stands out as an interactive workspace within Gemini for live document editing and code/app creation. With real-time code rendering and the ability to handle HTML, React prototypes, and infographics, business teams can execute fast iterations on marketing materials or web assets, all without toggling between platforms. The synergy between creative and technical actions within a single window saves countless hours and supports tighter cross-functional collaboration.
AI Research and Reasoning: Trusted, Actionable Insights
Effective research powers business strategy, and several 2025 tools focus specifically on delivering credible, fast, and personalized intelligence. OpenAI’s ChatGPT Deep Research provides an autonomous research agent that sifts through dozens of sources and compiles comprehensive, cited reports—competitor intelligence or regulatory analysis can be delivered in 5-20 minutes, tailored for each user’s ongoing needs. The importance of deep research, noted in benchmark comparisons, lies in its guarantee of cited and diverse information, which enables business leaders to make faster, more informed decisions.
Similarly, Gemini 3 Pro delivers multimodal analysis by default. This means not just ingesting written data, but extracting insights from video, audio, and images—crucial for sectors like media, retail, and manufacturing, where product demos, market feedback videos, and photographic evidence can be processed in one streamlined workflow.
AI Coding and Software Development: From Idea to App with Minimal Friction
For organizations seeking custom solutions or faster prototyping, the rise of agent-driven code editors and app builders transforms development timelines. Claude Code and its terminal-based agent, along with Cursor 2.0, now allow users to understand entire code bases, execute autonomous development tasks (including debugging, refactoring, and feature deployment), and run up to eight agents in parallel. Not only do these tools support technical teams, but they are increasingly optimized for nontechnical users—offering guided feature creation and context-aware suggestions.
On the no-code/low-code front, Lovable and Replit Agent 3 have democratized app deployment. By leveraging natural language prompts, nontechnical founders or operations heads can create, deploy, and host full stack web applications entirely via browser—eliminating outsourcing costs and accelerating internal tool development. Lovable now bundles cloud backend and authentication, offering complete app pipelines and multi-step conversational iteration, a significant upgrade that impacts product management and MVP launches for SMBs.
AI Visual and Video Generation: Rapid Creative Asset Creation
2025 saw AI leap forward in creative asset generation, with Nano Banana Pro and GPT Image 1.5 setting new standards for photorealism and text rendering. Marketing, communications, and eCommerce sectors can instantly generate campaign visuals indistinguishable from professional photography—including infographics, product mockups, and localized assets—without dependence on external agencies or costly freelancers. Weaknesses in text-to-image models have now been addressed, especially for accurate on-image text and localized visual adaptation.
In video, Runway Gen 4.5 and Google's VO3.1 allow commercial teams to build branded content, advertisements, and training materials with synchronized audio and native sound effects. Features like multi-motion brush and facial/body motion transfer open up nuanced, tailored creative outputs—fitting the precise needs of high-impact campaigns and internal communications.
Proactive and Autonomous AI Agents: Next-Level Delegation
Proactive agents represent the cutting edge of AI as a workplace companion. ChatGPT Pulse and Manus integrate into daily routines, conducting overnight research, briefing users on agenda items, and autonomously screening resumes or planning business travel. While feedback receptiveness and customization are still refining, their direction signals a shift toward AI-initiated task execution, offering a glimpse of future productivity gains.
For decision makers, Notebook LM Studio stands out for its robust studio updates (including personalized, template-based reports, podcast deep dives, and visual overviews powered by Nano Banana Pro). By grounding itself only in provided business documents (excluding unreliable web training data), Notebook LM removes ambiguity and risk, becoming a trusted analytics and communications hub—a critical advantage for organizations operating under strict data governance or compliance.
Strategic Considerations: When to Deploy the Latest AI Models
With so many releases in 2025, discerning which tools fit specific business needs is key. For broad operational impact, Gemini 3 Flash’s free, fast-access model linked via Google AI Mode ensures billions can tap state-of-the-art intelligence for everyday searches and tasks. When accuracy and transparency are paramount (e.g., financial modeling, risk analysis), GPT Five 2 Pro and Gemini 3 Pro offer extended reasoning capabilities and unparalleled chain-of-thought reporting—leaders are urged to specify "thinking" or "pro" modes for highest reliability and nuance.
Business owners should recognize the distinction between trending popularity and measurable business value reflected in these releases. Many tools—such as DeepSeek’s open-source models—ushered broader competitive movement, indirectly elevating standards across the industry despite niche usage constraints.
Final Thoughts: Selecting AI to Elevate Business Value in 2025
Selecting AI tools in 2025 should be aligned with operational bottlenecks, risk posture, creative speed, and the imperative to personalize intelligence. The year’s top innovations bring advanced research, fast prototyping, reliable delegation, and untethered creativity to everyday business environments. A measured approach—deploying the right models for the right use cases—can translate to real competitive advantage, improved efficiency, and better-informed decisions.
Topics Covered in This Episode:
- Top AI Tools and Releases 2025 List
- Criteria for AI Tool Selection 2025
- Honorable Mentions: AI Tools Excluded
- Canva Visual Suite 2.0 Feature Review
- ChatGPT Atlas Agentic Browser Capabilities
- ChatGPT Deep Research Agent Overview
- Claude Code Terminal Coding Agent Explained
- Claude Opus 4.5 Model Benchmarks
- Cursor 2.0 Multi-Agent Code Editor Update
- DeepSeek v3 Open Source AI Models
- GenSpark Multi-Agent Workspace Features
- Gemini 3 Flash Model Integration
- Gemini 3 Pro Multimodal Model Review
- Gemini Canvas Mode Interactive Workspace
- GPT Image 1.5 Advanced Generation
- GPT 5.2 Pro Expert Reasoning Abilities
- Lovable AI Full Stack App Builder
- Manus Super Agent Workflow Automation
- ChatGPT Pulse Proactive AI Daily Briefing
- Microsoft 365 Copilot Agent Modes
- Nano Banana Pro Image Reasoning Capabilities
- Notebook LM Updates: Video & Slides Features
- Perplexity Comet Agentic Browser Analysis
- Replit Agent 3 Cloud App Builder
- Runway Gen 4.5 Pro Video Generation
- Sora 2 OpenAI Video Model Innovations
- Suno v5 AI Music Generator Improvements
- Google VO 3.1 Flagship Video Model Review
- S/A/B/C/D Tier Ranking of AI Tools
- Tool of the Year: Notebook LM Studio
Episode Transcript
Jordan Wilson [00:00:17]:
There's quite literally hundreds of AI tools every year. And aside from our newsletter, I don't really talk about AI tools a ton here on the show. That's because for the most part, I think they can be a distraction. So why am I then bringing you the top AI tools and releases of 2025? Well, it's the second half of that. It's releases because I think what this has become over the years is, well, you used to just have chat g b t. You used to just have Google Gemini. And now these companies actually have sometimes a dozen or more different releases or models or modes. So now I think that going over a top AI tool or release list of the year actually makes a ton of sense.
Jordan Wilson [00:01:08]:
And actually, hey. Shout out to you guys, our audience, because I wasn't even sure if I was gonna put this, show together, and a bunch of you reached out and said, like, hey, Jordan. Time's ticking. We're halfway through January, and you haven't even put together, your top AI tools and releases of 2025. So, shout out to you guys. I work for you. So let's get into it and talk about the top AI tools and releases of 2025. Alright.
Jordan Wilson [00:01:30]:
If you're new here, welcome. My name is Jordan. This is Everyday AI. It's a daily livestream podcast and free daily newsletter helping everyday business leaders like you and me make sense of these hundreds of AI tools, cut through the clutter, and just focus on those that are gonna leverage, the best and grow our companies in our careers. So starts here with the unedited, unscripted livestream podcast, but to be the smartest person in AI at your company, our website is your cheat code, youreverydayai.com. Go sign up for the free daily newsletter. We're gonna be recapping today's show and a whole lot more, and the AI news will be in there as well. So let's get into this.
Jordan Wilson [00:02:08]:
These aren't the best AI tools. All right. By saying they're the top, I'm essentially saying that they're the most popular and these are for everyday people. Alright? So, obviously, if you're, in software development, there's probably gonna be some, tools that are better or top tools that aren't on this list. But there are some, you know, coding and software development tools on this list, so keep that in mind. Or if you're, you know, a creative. Right? You know, Midjourney, as an example, didn't make our list. But if you're creative, maybe Midjourney's for you.
Jordan Wilson [00:02:42]:
So keep that in mind. And, also, these are only new tools, features, or modes that were released in 2025. So maybe there is a great, you know, AI tool out there that just wasn't really touched in 2025, hardly at all. Well, they're not even up for consideration. Right? Alright. And, I've used almost all of them extensively. I think that there was only two on this list that I haven't used extensively, but I have, used or tested them all. Alright.
Jordan Wilson [00:03:14]:
So, there's actually a lot more. So if you want the entire list, which is like, I think ended up being, like, 48 to 52 somewhere in there, just go ahead and repost this on LinkedIn. I'll send you the entire thing. I put it together in, Gemini canvas, obviously. So it's interactive and it's fun. It's sortable. It's a directory, with some additional use cases, all that. So if you want the entire list, including those that didn't make the cut, make sure to repost this show on LinkedIn.
Jordan Wilson [00:03:43]:
Speaking of those that didn't make the cut. Alright. Some of our honorable mentions. So those that just barely missed it. Alright. So, Levin Labs conversational AI two point o, Google Flow, which this one hurt me not putting it on the list as as well as Google Pamelli, Descript Underlord, Gamma three point o agents, which I love using, Base 44, Notion three point o agents. This one's seems small, but the Gemini in sheets equals AI function. Right? This is so big.
Jordan Wilson [00:04:17]:
Literally, a formula was so good. It almost made our top 25 list. Right? Claude code on web, and here's a shocker, chat g b t agent mode did not make the top 25 list. Shocker. Right? Alright. So here's what actually made the list. Alright. So right now, it's just in alphabetical order, but live stream audience.
Jordan Wilson [00:04:41]:
I want you to go ahead and get your vote in. Alright. And I'm gonna do this probably again at the end. Alright. So I'm gonna go ahead and give a number. So you can just, give the number for the one that you think is the tool of the year. But for our podcast audience, here we go. These are the 25 in alphabetical order, and then I'm gonna explain, probably spend about, thirty seconds to a minute on each one.
Jordan Wilson [00:05:01]:
Alright. So number one, Canva visual suite two point o. Number two, ChatGPT Atlas. Number three, ChatGPT's deep research. Number four, Claude Code. Number five, Claude Opus 4.5. Number six, Cursor two point o. Number seven, the DeepSeek v three, v three two, and the r one family of models.
Jordan Wilson [00:05:23]:
Number eight, GenSpark. Number nine, Gemini three Flash. Number 10, Gemini three Pro. Number 11, Gemini Canvas mode. Number 12, GPT, 1.5 or sorry, GPT Image 1.5. Number 13, GPT five two pro. Number 14, lovable. Number 15, Manus.
Jordan Wilson [00:05:46]:
Number 16, oh, that's wrong on there. That's an old list. I'll have to, give you the new number 16 here in a minute. Sorry. Number 17, Microsoft 365 Copilot, the new agent in Office agents. 18, Nano Banana Pro. 19, the new notebook LM Studio updates including Nano Banana Pro. 20 Perplexities Comet, 21 Replit agent three, twenty two Runway gen point four five sorry, Gen4.5, 23, Sora224SunoB525VO3.1.
Jordan Wilson [00:06:29]:
Alright. Sorry. Number, 16 was, chat GPT pulse. Alright. So, forgot about that. That was the last second, substitution and switch because, originally, I had MCP, but MCP was actually at the 2024. Alright. So here we go.
Jordan Wilson [00:06:48]:
And as I go along, especially for our livestream audience, I'd love to hear what your vote is because at the very end, here's what I'm gonna do. I'm gonna rank these. So I'm gonna go through and tell you them in alphabetical order, but at the end, we're gonna rank them in the old s a b c d. Alright. So, I don't know if you've ever seen these charts before. Right? They they're pretty popular online. I obviously did a little, vibe coding of this one in, Google Gemini Canvas mode, but essentially, s is your best. Then you have a, then you have b, then you have c, then you have d.
Jordan Wilson [00:07:23]:
Alright. So at the end, I'm gonna rank all these accordingly. I'm gonna try to put about the same number in each category. And this is, again, this is for me and but also, this is my advice for nontechnical business leaders as well. Right? So keep that in mind as we go along. But live stream audience, I wanna hear from you. So as I say each of these, let me know s is the best, a, b, c, or d. Alright.
Jordan Wilson [00:07:48]:
So number one, on the list, alphabetical order is Canva's visual suite two point o. So let me know. Is that an s, a, b, c, or d? Alright. So here's what the new Visual Suite two point o does. So unlike Canvas core content types, it kind of brings everything into a single Visual Suite workflow. So it focuses on scaling content production, and it adds a build layer for interactive and functional content via natural language prompts. So, essentially, there's a bunch of these new features all over Canva. I use a lot of them every day, but I'm mainly just using some of the more simple, some of the simple ones.
Jordan Wilson [00:08:30]:
Right? The, you know, text like, magic text grabbing, which I really like, by the way. So, you know, this is kind of like, stacking. Right? But I love using, kind of GPT one five image or Gemini's, Nano Banana Pro. And then when there's little things that aren't quite right, you know, they're not good at iterating. So bring it into Canva's new, Visual Suite two point o with Magic Studio, and simple things like that are great for Canva. Everything else from being honest, right, the the the image models, the coding, I don't know. I think that's just more if it's that's all you have access to, but, otherwise, I think there's better tools. But just because Canva has so many users, you know, I do think from a popularity and top users, you have to put it in.
Jordan Wilson [00:09:16]:
And this really kind of tries to push Canva beyond just a design program into more of a just multimedia creation suite. Alright. Number two, chat g p t atlas. Alright. So, and a live stream wanna see if you could. Right? Because I I wanna go through and see your guys' votes too. Right? So if I just see a bunch of s a b c's, I won't make sense. So try to put, like, chat g p t atlas s, chat g p t atlas c.
Jordan Wilson [00:09:42]:
Right? Right? Whatever, you feel it deserves. Alright. So what the heck is Atlas? Well, this is OpenAI's agentic browser. Did come out in 2025. It's based on Chromium, and it's great for a lot of things, but, you know, probably the most unique thing is it can sync to your chat g p t data and vice versa. Right? So, chat g p t can actually take advantage and understand and use the memory of your Atlas, browsing and then vice versa. When you're using the Atlas browser, you can take advantage of all your chat gbt memories. So, it's it's one of those things.
Jordan Wilson [00:10:16]:
There's a couple, like, weird UI UX things that I wish were a little better, inside Atlas. So, if I'm being honest, what I use Atlas for a lot right now is when I'm scoping different use cases for everyday AI, and I usually scope them across, at the same time, comments, from perplexity, which we'll talk about, Atlas, and then also the new, Claude code extension, which oh, man. That should have made my, my honorable mention list potentially. So, yeah, it's it's an absolutely great tool, but I think the real benefit of Atlas, obviously, if you are a power chat g p t user, being able to use that, and also agent mode. Right? So agent mode didn't make the list, but it technically makes it through chat g p t atlas because that's a huge feature, obviously, with an agentic browser is having an agent that can navigate the web for you. So if you don't know, if you haven't used it, or if you missed our show on it, right, so not only can it take advantage of that chat g b t memory, and but it can also just browse the web for you both in the background and with an actual agent doing it. So, you know, clicking on interfaces. So, you know, as an example, we just launched our you know, no one knows this.
Jordan Wilson [00:11:32]:
We just launched our community a couple of days ago, the inner circle community. I had, the Perplexities Comet browser and, the Atlas agent browser. I had them go through the entire workflow. They signed up for an email address. They went through. They signed up. They went through the onboarding flow. They clicked around.
Jordan Wilson [00:11:50]:
You know, here's what made sense. Here's what didn't write. Great, like, QA type of things that you can do, with these agentic browsers. Alright. And if you did miss the show, we went over this in episode six thirty seven, and we went hands on with, OpenAI's Atlas browser. Alright. Next, chat g p t deep research. So this actually made the cut for early twenty twenty five.
Jordan Wilson [00:12:14]:
Just so you know, Google Gemini's deep research was technically released in late twenty twenty four. Otherwise, it would have made the 2025 list, but Chad GPT's deep research is absolutely a gem. So if you haven't used deep research, you should start using it, FYI. It is really, really good. So, essentially, it is an agentic browser or an autonomous research agent that goes through dozens of different sources and then delivers a comprehensive cited report. It does take, depending on the query, depending on the sources, anywhere from five to twenty minutes, but it's absolutely worth it. Right? If you're not running at least a couple deep researches a day for personalized or individualized learning, right, whether in in in don't take the word learning personally. Right? You're like, oh, okay, Jordan.
Jordan Wilson [00:13:01]:
I'm not a student. I'm not an intern. Okay. Well, you should still be learning constantly because the rules of the game are changing by the day. Right? Because AI is changing how business works. So we should all be learning on a daily basis. So, I'm not kidding. If you're not running multiple, deep research runs, whether that's in, chat GBT, Gemini, Claude, whatever, you are a 100100% gonna be behind.
Jordan Wilson [00:13:29]:
Right? Yes. You need to know you need to understand, kind of the harnessing and how it's set up and, you know, how these agentic models work. But that's why we have all the episodes that do that for you. But this really what this unlocks is just the fire and forget research. Right? But personalized and individualized. So, you know, I love doing this before I go get a coffee or if I gotta go do a quick task, you know, somewhere else in the house or in most cases, like even right now as I'm on this live stream, I literally have two different agents, working on something right now on a task going through our old podcast episodes to put together our starter series. Alright. So more on that here in a little bit.
Jordan Wilson [00:14:09]:
All right. So live stream audience, Chad GPD, deep research. What do you give it? Also go listen to episode four seventy. If you want a deeper dive on that, cause we did the deep dive on deep research for you. Alright. Number four, Claude code. So, yes, I said this is for everyday people. And this Claude code is probably the most technical.
Jordan Wilson [00:14:35]:
So we do have, lovable on here, which I think is actually a little more beginner friendly, but especially even with, the new feature that was just released yesterday called Claude Cowork, which is essentially a nontechnical version of Claude Code. Alright? I couldn't put Claude Cowork, on the, the list because it just came out yesterday. Alright. But this is what Claude Code is, and I think it's huge. So it is a terminal based coding agent from Anthropic that understands entire code bases and executes development tasks autonomously. So it can read the full code based context. It can write your code, run commands, debugs, can manage get polls, you know, your repos, all those things. And essentially, you can just build features.
Jordan Wilson [00:15:21]:
Right? So obviously, if you're in software development, product management, etcetera, you probably already know Claude code because it's becoming a, defacto, coding tool. But it's, I think, right, and and we'll see. Right? My my hot take as, you know, up until what, at least before yesterday, is that most nontechnical people were gonna be using cloud code. So maybe that won't be the case now with Claude Cowork, but I do think that most people will be using something like that. The trajectory of Claude Code over the last couple of weeks has been something like I really haven't seen, in the last you know, aside from the chat gbt launch, it is going viral, which is strange because it's been out for many months. But it's really picking up a lot of steam because I think, people are realizing that you can use it for non coding tasks. Right? And it does really, really well at those. So this is best though for, feature development, multi file, refactoring, debugging, learning new code bases, etcetera.
Jordan Wilson [00:16:29]:
Alright. Yeah. Live stream audience keep like, as we go along, let me know. You know, is that an s a, b, c, or d for you? Alright. Number five, Claude Opus 4.5. So the combination of these two, really good. So this is Anthropic's most intelligent model. It is it was the first to exceed the 80% on the sweet bench verified, which is now the defacto, kind of software engineering benchmark.
Jordan Wilson [00:16:53]:
And it also has great computer use capabilities, and it operates graphical user interfaces like a human. Right. So what this unlocks, well, desktop automation. So we just talk about as an example, Claude Code, Claude Cowork, but, you know, you being able, to do, automation between your desktop, a web browser, terminal, virtual computer. Right? And you're like, okay, Jordan. This sounds very technical. It's not. Trust me.
Jordan Wilson [00:17:24]:
I I I do think probably, most people this decade, that's gonna be most people's jobs. Right? What I just said there, you you know, orchestrating agents, you you know, that are using terminals, virtual computers, you you know, repos, you know, interacting with graphical interfaces online for you. Right? I don't think these are things humans are gonna be doing, right, using the web, at least not like we do them today. Right? Right now, humans use computers. We use Internet. We use SAS programs. I think agents are gonna be doing a lot of those things, and we're gonna be overseeing and orchestrating those agents. Anyways, clawed at Opus 4.5 is probably one of the reasons why we're getting there.
Jordan Wilson [00:18:07]:
So I talked about the meter, metric, last week on the show, and Opus 4.5 has been the model that has taken the biggest step, from its competitors, in in, terms of being able to work the longest autonomously and still doing a certain percentage work at a human level. Alright. And we did go over, Opus 4.5 in episode six sixty two. I will say this though. I did that episode right after, Opus 4.5 came out. We put it through some of our normal kind of, you know, informal benchmarks. It did poorly, I will say this. But looking back at it now, I do think Anthropic has made some small under the hood updates to 4.5.
Jordan Wilson [00:19:00]:
Also, there's probably some, access issues, at the time, and the rate limits stink, on the base paid plan. I I actually had to begrudgingly, because of Claude code and, now Claude co work and the, Claude extension. I did begrudgingly have to upgrade to the, $100 a month max plan. Alright. Number six, Cursor two point o. So the two point o update pretty big because it brings, the composer and the multi agents, to the forefront. So if you don't know Cursor, it's an AI native code editor rebuilt around agents featuring cursor's own composer model. So composer completes tasks in under thirty seconds, which is four times faster than the old version of cursor, and you can run up to eight agents in parallel.
Jordan Wilson [00:19:49]:
You know what? There's so many. Right? These these are all, like, a lot of these are on the, the top 50 list. But, man, like, I'm trying to think, man, like, so it was so close. Like, codex so close to missing the making the top. It was hard to make some of these cuts. Right? The fact that opening eyes codex didn't make it, their agent mode didn't make it, Google's anti gravity, you you know, some of Google's other, you know, coding tools, even their, you know, simple coding tools like Opal. There are so many good releases, especially from the big companies. Right? OpenAI, Anthropic, Google, and Microsoft, so many good releases.
Jordan Wilson [00:20:27]:
Anyways, back to cursor two point o. You know what this unlocks? Well, it's the ability for multiple agents to tackle the same problem and then the ability to pick the best result. Right? So kind of like a mixture of models. Weird. My prediction from last year, not a mixture of experts here. That's technically a mixture of models, setup or kind of a hybrid between the two. So you can plan with one, agent and then build with the other. So this is best for parallel a parallel AI development, large code based refactoring, and, kind of coding teams wanting concurrent agent workflows.
Jordan Wilson [00:21:02]:
Number seven, this is the DeepSeek v three two r one family. So v three came out technically in December, but v three two in the r one, which is DeepSeek's reasoning model, came out in 2025. So if you don't know, these are Chinese open source models that in a lot of benchmarks are at least top 10 and matching a lot of the frontier, kind of AI models out of The US at a dramatically lower cost. So some new things. Well, that's r one's, DeepSeek's thinking model. They're more transparent chains chain of thought shows reasoning steps, open weights for local deployment, and very cheap API prices on the dev side. So I will say this. I'm not using DeepSeq, and I think for the most part, you probably shouldn't either, especially if you are a legitimate business, in The US.
Jordan Wilson [00:21:58]:
I probably wouldn't be. Right? There's a reason why in certain states, DeepSeek is banned. In certain countries, DeepSeek is banned. Right? I won't get into that too much. Right? But I will say just because it made the list doesn't mean I'm recommending it. Again, when I say this is the top, these are the most popular or most used, you know, features or modes, from some of the big companies. And, yeah, I'm not gonna get into that, but just go ahead. I did the deep dive.
Jordan Wilson [00:22:22]:
I went through and did all the debunking, for you, but, go listen to episode four sixty, the deep seek deep dive. Is it AI Sputnik moment or a national security threat? Yeah. Probably more the latter than the former y'all. Alright. Number eight, GenSpark. So if you don't know GenSpark, they actually had a big partner announcement with Microsoft at Microsoft's conference, but it is a multi agent workspace agent that distributes tasks across specialized agents working in parallel. I know I just said the word agent a lot there. It's much different than something like a cursor or an anti gravity because these are essentially just you connect your data sources, and it's in front end agent.
Jordan Wilson [00:23:02]:
Right? So, you know, this isn't using, you know, terminals and, you know, running code. Nope. You're just typing in a box like chat g p t. It connects all your data, and then these agents run out and do different things for you, and that connects to different models. So a lot of new things. So they have, research agents, coding agents, analysis, creative agents, etcetera. But, essentially, this gives you a team of AI specialists instead of a single, agent or a single AI assistant. So you get multiple perspectives on complex problems.
Jordan Wilson [00:23:32]:
So, yeah, pretty good, Genspark. Alright. And, yeah, live stream audience as we go. Genspark. What's it get? What's your vote? Alright. Number nine, Gemini three flash. And this is pretty big for developers, but mainly Google's AI mode. Right? So you might be wondering, like, what does Google's AI mode have to do with Gemini three flash? Well, Gemini three flash, number one, is a ridiculously good model.
Jordan Wilson [00:23:57]:
Alright. On some third party benchmarks, it's actually a top five model in the world. Right? So if you don't know what a flash is, it's essentially the small version of Gemini three Pro. And usually, these small or the mini versions, you know, they're many, many steps behind. Not the case for Gemini three Flash. It is a almost state of the art, model. Right? It is that close, but it's technically free to use because if you have a Google account, even a free Google account, you're just logged in, right, and you just Google something and you go to the AI mode. Well, now AI mode is so much better because of Gemini three Flash.
Jordan Wilson [00:24:36]:
Whereas before, it was running on Gemini two five Flash, which, again, not a terrible model, but a huge jump. Alright. So this is obviously great for developers, but the reason I'm including it on this is because this is probably going to be the most used aside from some of the chat g b t tools, right, because they have 800,000,000 weekly active users. And for those chat GBT modes that are at least you have a little bit on the free side, are gonna be used a little bit more than this. But Gemini three Flash worldwide is probably gonna be one of the most used models because AI mode is powered by it. And if you don't know AI mode, I tell people always use AI mode. Don't use AI overviews. AI overviews are not good.
Jordan Wilson [00:25:18]:
Use AI mode. It's one extra click. Alright. This is best for, everyday, AI tasks, high volume applications, or anyone who found Frontier models too expensive. So on the dev side, yes, obviously a great choice. You know, a lot of developers use Gemini three Flash. It's fast, super fast, super cost effective. But even for nontechnical front end users, this is what you're probably gonna be using when you're using Google AI mode, which I recommend you use all the time.
Jordan Wilson [00:25:47]:
Right? Anytime my wife, like, literally gets out her phone and starts typing anything, I'm always like, no AI overview, AI mode. Right? It's a rule in the house. Alright. Number 10, Gemini three pro. So this is the big model. This is the behemoth, the newest, the biggest, the baddest, and technically the number one model in the world, both on LM arena and on artificial analysis. So this is the best. So it did dethrone OpenAI, dethrone everyone, but it is multimodal by default.
Jordan Wilson [00:26:20]:
So it can process video, audio, images, with equal depth reasoning by default. On the API side, there's a million token context window, which is a ton. And if you are on one of Google's higher plans, you do get the deep think mode. I didn't include the I could have included deep think, as a top feature, but because it's only available right now, I believe on the Ultra plan, I'm not gonna do that. Alright. So what does this unlock? Well, a lot. Right? This unlocks the future of, I think, AI models. Right? There's a reason that Google has absolutely dominated 2025, and I think it's because, well, number one, their models are really good.
Jordan Wilson [00:27:01]:
Alright. They had a very bad, release, with Bard in the original Gemini. They were kind of caught, tail between the legs, in 2024, and they just head down, shipped, and crushed everyone in 2025, and it wasn't really close. If you just look at progress in 2025, Google won. And I think in large part, the way they finish with Gemini three Pro, it is an extremely capable model. But like I said, the fact that it is multimodal by default, it understands the physics in video. Right? So not only can it create video, right, it, you know, if you go to Gemini, you can create video. Gemini three Pro uses VO, but it also understands video.
Jordan Wilson [00:27:43]:
People don't know that. Right? It can ingest video, not just transcripts. It can know what's going on. Like, you know, if I was sitting here, you know, if I throw mine in there, it's gonna be you know, it'll describe me. It'll say, oh, I have a, you know, Nike shirt on, whatever. It understands everything. But this is best for complex multimodal analysis, video understanding, log document processing, enterprise intelligence, etcetera. For me, I love using Gemini three Pro on AI Studio.
Jordan Wilson [00:28:11]:
Another top 50, but not top not quite top 25. I love the new vibe coding updates from Google AI Studio and the team over there, which I talk to a lot, but sorry y'all. This is too much good stuff. Couldn't crack the top 25 of Google AI Studio, but personally, I'm using Gemini three Pro in AI Studio. And speaking of that team over there, in Gemini three, if you didn't wanna know a little bit more, go listen to episode six fifty six. That was with Logan Kilpatrick, and that was, like, an hour after Gemini three, Pro was released. Had a very quick chat, but great chat with, Logan. Alright.
Jordan Wilson [00:28:50]:
Number 11. And let me know as we go along, y'all. This I can't believe that Gemini canvas mode number 11 was released in 2025. It feels because I use it all day every day. For whatever reason, it feels like it's been out for, like, two and a half years. But, yeah, Gemini canvas mode was actually created or sorry, released in 2025. So this is an essentially an interactive workspace within Gemini for creating and editing documents, code, and apps in real time. This is another one of those that was kind of closely, aligned with the rollout of OpenAI's Canvas, which was released in 2024.
Jordan Wilson [00:29:34]:
Alright. So, Gemini Canvas was early twenty twenty five. So like OpenAI or Chat TPD's Canvas, it does kind of serve a dual purpose. One is just live, you know, document editing with Gemini. So it's more of, like, you're working with a Google Doc and then, you know, the and which is, I think, in general, this is great, with Chad GPT and Google Gemini. Right? More people should be using canvas mode for exactly that. So let's say, I don't know, you're having, you know, Gemini or Chad GPT, you know, create a big, I don't know, outline for you, something like that. And there's, you know, a couple things in the middle wrong.
Jordan Wilson [00:30:10]:
What do most people do? Oh, go change, you know, paragraphs four and seven. And then what do large language models sometimes do? Well, they'll change four seven, and then they'll change the intro, and they'll change the index, and they'll change all these other things too. Right? Well, use canvas mode. Right? Because you can just highlight certain things, and essentially, it's co editing. But the thing I use, canvas mode for, which is great is, well, it can render code write and render code in real time. So everything from, you know, HTML, React prototypes, web pages, infographics, quizzes, so many things. It is quite amazing. And the little tier sheet, that, I'm gonna show you guys here, at the end to rank everything, obviously made with, with Google Gemini.
Jordan Wilson [00:30:55]:
Alright. And if you wanna know more about Gemini canvas mode, episode five fifty four. Number 12. Here we go. Live stream audience. Let me know. What's your vote? This is GBT image 1.5. This is OpenAI's latest dedicated image generation model with improved quality and speed over GBT image one.
Jordan Wilson [00:31:15]:
And, well, what does this unlock? It's best for marketers, advertisers, communication professionals, anyone. Right. And it is really good. Right? Obviously, when it comes to, kind of name share, I think that, NATO Banana Pro, took a lot of the kind of media or social media, attention, when it came to AI visuals, But a lot of people don't know this. On LM arena, text to image, GPT image 1.5 is actually better. And these are blind, you know, kind of like blind taste tests. You put in a text prompt, you get two images, and you vote for which one's better. So, you you know, there's a lot of things that, Nano Banana Pro is better at than, GPT image 1.5, but it is extremely good.
Jordan Wilson [00:32:05]:
Right? And if you remember the original, you you know, GBT image, you know, a lot of people, thought it was not that good aside from, you know, there's some, you know, fun cutesy things that went viral, but aside from that, it wasn't very good. GBT image 1.5, very, very good. Alright. So I'm gonna, put the the numbers here again on the screen for the, livestream audience as I take a sip, of my water here. But go ahead. What is you only get one vote. What is your vote for tool or update of the year? And we're gonna keep this going a little faster now because I don't want this to accidentally turn into, an hour long show. Alright.
Jordan Wilson [00:32:52]:
13, the model you go to when you just need it right. Alright. That is GPT five two pro. Alright. This is again thinking mode. Don't use y'all. Don't use the free version of GBT, CHED GBT, the GBT $5.02 instant, GBT $5.02 auto. Don't do it.
Jordan Wilson [00:33:13]:
GBT five thinking is good. GBT five two pro is literally yesterday, solved some physics problem that humans couldn't solve. Alright. This is good. Alright. This is when you need something right. So this is OpenAI's flagship model with extended reasoning capabilities. So in the family of models, there is kind of three different tiers.
Jordan Wilson [00:33:38]:
There's the instant, the thinking, and the pro, but don't use the auto the instant you should be using thinking, but if you have the time, right, use pro, GPT five pro, it can be very slow. And I'll tell you this, my, my usage of chat g b t's deep research has actually gone down because g b t five two pro, I think, is just as good. But then you can kind of tap into some other features by using this model because you can, as an example, use canvas mode in there. You can use a, a GBT can be powered by GBT 5.2 pro. So there's so many, benefits to maybe using GBT five pro where you might usually use deep research. The, depending on what plan you are, you know, different limits. I get it. It's a little bit of give and take.
Jordan Wilson [00:34:29]:
But, I mean, this is human expert level performance on complex tasks, but, only when you are using the thinking mode, obviously. But it's best for complex reasoning, financial modeling, multi step projects, professional codes, coding, etcetera. Just, obviously, always make sure you're using the g b t five two thinking or g b t five two pro. Do not use the default version. I've talked about this many times on the show. It is the twenty fourth best model in the world. You wouldn't want to do that right. If you have the choice, would you want to use the twenty fourth best, you know, dentist in your city or the first? Right.
Jordan Wilson [00:35:09]:
Probably the first. Alright. Number 14, Lovable. Alright. So this a lot of good updates in 2025. But if you don't know, Lovable is a platform that builds full stack web applications from just natural language. So they had a lot of improvements in 2025. The ability I I believe they had the cloud, the back end for off everything.
Jordan Wilson [00:35:30]:
Right? Whereas before you kinda had to connect it to, you know, you had to duct tape kind of whatever you created in Lovable to, you know, some different back end, some different off services. So now they kind of have everything with the Lovable cloud where it's just kinda ready to go. And they also now have the agent mode at the default. So it's autonomous multi step building, and it generates front end, back end database, deploys, and enables conversational iteration. So, essentially, you describe an app, get it deployed. And this is best, I think, for nontechnical founders. You know, Cursor and, Lovable, two very different things. Right? Cursor, I think, is more for, software engineering teams, very serious developers.
Jordan Wilson [00:36:11]:
I think Lovable can still be used by those people, but Lovable, I'd say, is probably for, maybe if you're a nontechnical person, but you've had an idea or an app or you run a company and, you know, I don't know, maybe you're paying $50,000 for, you know, a piece of software each year and you barely use it. And you're like, maybe we could just build something like this on your own and, you know, you try to get something together, get an MVP together in an afternoon. Lovable might be the thing to look at there. Alright. Number 15, Manus. Just the general purpose, super agent. So it it it was the first kind of big name general purpose autonomous agent that can just deliver complete work products from gold descriptions. So this was launched in 2025, but you can literally have they have the wide agent feature where you can go have, like, a 100 agents researching at the same time.
Jordan Wilson [00:37:03]:
They all spin up their own virtual computer to execute and handle complex multi step, tasks independently, and it's blown up. Right? So they were actually just acquired, by Meta. Right? Not even a year after their, you know, public launch. So they did hit reportedly a $100,000,000 annual recurring revenue in eight months, which is an astronomical amount of revenue. I use Manus. I'm on their paid plan. It's really good. What I need to personally get better at Manus for is sometimes I just hand it off everything when I probably shouldn't, mainly because the credits.
Jordan Wilson [00:37:39]:
Right? So if you also like, I've subscriptions to obviously everything. Manus is great, I think, at more quickly logging in all your services. Right? That's what I am gonna start using it more for. But, you know, on the front end, on the research end, unless you're trying to get, you know, lead information, which it's really good at, by the way. But don't waste your credits on, you know, typical research. You know? Go do that in, like, OpenAI deep research, you you know, Claude, Google, etcetera. But it it is good for data analysis, resume screening, travel planning, any complex tests that you would designate to an assistant. If you wish you had an assistant, Manus is pretty good for that.
Jordan Wilson [00:38:19]:
And we did go over Manus and Genspark in a lot more. And this episode, I think, was actually kind of underrated. So episode six thirteen, which is AI agents from automation to super agents, 10 AI agents you should know in 2025. So go listen to episode six thirteen. Alright. Number 16. The correct number 16, chat GPT pulse. So, I did still include this even though it's currently only available to those on the $200 a month, plan.
Jordan Wilson [00:38:47]:
I did so because I think it signifies, kind of the next step of AI, which is proactive AI that just does tasks for you, even if you don't ask for it and just delivers you what it thinks you need. So that's essentially what chat gbt pulse is. It's a proactive daily briefing where chat gbt researches overnight and delivers you a personalized morning update. I don't like it that much if I'm being honest, but I do think, just the number of users that OpenAI has and I'm a little bit different. I'd say I'm a very unique large language model user. I'll say that. A lot of times, I'm really trying to test things and break things, and so I was getting a lot of reports that were not maybe relevant. It was maybe relevant to the usage, but not relevant to what I wanted.
Jordan Wilson [00:39:38]:
So you can obviously provide feedback to chat gbt pulse. Right? It can go through your your email, your calendar, and, you know, tell you what's important and, you know, oh, you have a meeting with this person and, you know, does some research for you. I don't know. To me, even the more feedback I gave it, I wasn't getting something great. And probably the reason is is because I am really good at chat GPT, and a lot of people don't know. Here's the secret. Lean in for the secret. Agent mode, you can schedule agents.
Jordan Wilson [00:40:06]:
Right? So at least for me, I was able to much better I was able to, get much better results, especially when we still had connectors. We have apps now. They work a little different. But, you know, the agent connecting to my data on a scheduled run was way better for me, than a the chat GBT pulse because I just had more control over it, and I had less control over pulse. So, you know, I I I think for people that are more casual users, or, you know, even people who are, you know, power users, I would say I'm just trying to break things all the time and reverse engineer things. But for everyone else, I think it's great. Chechipti pulses. Alright.
Jordan Wilson [00:40:47]:
Number 17. And let me know, live stream audience, keep getting your votes in. Number 17 was the Microsoft three sixty five Copilot agent modes. So, this is an AI assistant embedded throughout Microsoft three sixty five with autonomous agent capabilities. So the agent mode completes multi step tasks across, Office apps autonomously, including the memory work IQ that it maintains persistent context and learns performance. And there's also the ability to access this in Copilot Studio. So this is, really gives you the ability to delegate complex workflows across Word, Excel, PowerPoint, Outlook, and Teams. And this is obviously best for Microsoft native enterprises.
Jordan Wilson [00:41:29]:
And we did go over this in episode six twenty one hands on. A lot of these, by the way, these episodes that I'm dropping, probably best if you watch them because a lot of them are hands on demos, not all of them, but just FYI, if you ever want the video version, you can always get that for free on our website at youreverydayai.com. Alright. Number 18, we're almost at the end of the list here. Nano Banana Pro. Already kind of referenced this when we were talking about GBT one, image 1.5, But, nano banana came out amazing. Right? I think nano banana was the first time that we looked at images and we're like, wait. Even as a former photographer.
Jordan Wilson [00:42:09]:
Right? I have four professional DSLRs, you know, in in in my closet, and I've taken more than a million photos, over the years. Nano Banana, I could tell the difference. I could say, like, okay. Yeah. This is, AI or nano banana. The average person probably couldn't. Nano Banana Pro, no one can. No one.
Jordan Wilson [00:42:32]:
Not if you're an AI expert, not if you're a photographer, no one can tell the difference anymore. Nano Banana Pro and GPT five, GPT one five image for certain, use cases are that good. But Nano Banana Pro was the first model that got to that level where it's like no one no one can tell anymore. Even if you're trying, you can't tell. So this is best in class text rendering finally solved. Right? Took took a while, but, you know, now you can finally get that. You know, it reasons, which is great. This is a reasoning model.
Jordan Wilson [00:43:05]:
It's part of Gemini three. We went into this more in-depth when we went over Gemini three, Pro, but it can reason about an image, which is completely different than, you know, a diffusion model that doesn't think. It just, you know, kind of spits out and fills in pixels. This understands what's happening in the photo, what should happen in the photo. Right. It's extremely accurate. You can also use it. You can upload 14 different references, and it can combine different things.
Jordan Wilson [00:43:34]:
So I don't know if you had a bunch of products. Right, maybe you work in e commerce company or something like that. You know, like, oh, man. We didn't get any of these in the shoot, but we have individual products. Well, you can literally just combine things, and then combine different, you know, products with different, you know, humans or models, and then, you know, fill it in with text. It is that good. This is obviously best for people, you know, trying to do marketing assets with text, infographics. It's absolutely bonkers at localized visuals, product mock ups, etcetera.
Jordan Wilson [00:44:04]:
Number 19, oof, this one, notebook l m updates, including nano banana pro in video overviews and slides. So notebook l m actually had a ton of updates this year that weren't related to Nano Banana. They redid their studio completely. So now there's personalized and customized reports that you can save templates for, which are really, really good. You can create unlimited versions of those, the AI podcast, right? The deep dive overviews. There's different versions of those. Again, you can create however many you want because you used to only be able to create one. Right? It's such a huge unlock, even just those things alone, just the studio, but then you throw in Nano Banana Pro.
Jordan Wilson [00:44:51]:
Right? So, now notebook LM has video overviews, and those visuals are powered by Nano Banana Pro. Then they also have slides that are powered by nano banana pro. Yeah. When I say like, I don't want to be the product manager at PowerPoint. Yeah. Don't don't want to be right. Not good because Nano Banana Pro is so, so good, especially combined with notebook LM and being able to, run slides in there. It is bonkers.
Jordan Wilson [00:45:23]:
Right? So, I'm looking at I'm looking at this one live stream on it. So, you know, who's gonna give, you know, I'm wondering if anyone's gonna give notebook l m, number 19 here at d. We'll see. Then we did go over this in episode six fifty two. That's another underrated episode. Go listen to that one or watch that one on our website. Alright. Number 20, Perplexity comment.
Jordan Wilson [00:45:45]:
So this is an agentic browser from Perplexity, like Chat GPD's Atlas. It is Chromium based. So, like Chat GPD Atlas, you can, you know, sign in with your Chrome pry profile. It'll, sync everything over, your bookmarks, your passwords, your extensions. Same thing with perplexities comment. If if if I'm telling you the truth, there's not a ton of blanket statements or blanket differentiators I can make, between perplexity and Chattoport Atlas. The thing I can say, the big benefit with Chattoport Atlas is it connects to your, data. And I think it's a little better on the agent mode.
Jordan Wilson [00:46:25]:
Perplexity for things that you don't necessarily need a, a graphical interface for, you know, if you don't need an actual agent clicking, you know, making 10 clicks on a page for everything else, I think perplexity comment is a little faster, and does a little bit better at long range tasks in my testing. Like I said, I'm constantly testing CHEDGPT Atlas, perplexity, comment, and then just Chrome with the, Claude extension. And perplexity, comment is usually the best for most use cases and the fastest, and it does better over long long range tasks. So this is great for research across many sites, price comparisons, data collection, you know, any task that would normally require multiple browser tabs, or it require you to go to a bunch of websites back to back to back to back and find all this information. Complexity comment. Great. And, we did go over five business use cases for comments in episode six fourteen. So go check that one out.
Jordan Wilson [00:47:28]:
Alright, probably the one I've used least on the list, but I am bullish on it regardless, because it is really good, replit agent three. So this is a browser based AI agent that builds, deploys and hosts applications entirely in the cloud. So now with natural language, you can go straight to a deployed app, describe what you want, agent builds and ships it, and with integrated hosting, you have no local setup required. So I would say that this is I wouldn't say the more technical version of Lovable. Right? And Replit's been around for forever. Right? I would say Replit is the, you you know, kind of the AI clone, of, Replit. Not in a bad way. Right? It's just nontechnical.
Jordan Wilson [00:48:13]:
Right? You can get more technical in Replit if you need to. But with agent three, you don't have to if you don't want to. Right? They actually had a funny little ad, a couple weeks ago that we shared, in the newsletter with, Shaq. Right? Just literally using his voice and creating apps, you know, full front end, full back end. But what this unlocks is essentially being able to go zero to deployed in the browser, with complete dev, control that's accessible anywhere. So great for, you know, whether you wanna learn to code, deploying simple apps fast, rapid prototyping, you know, developing without a local environment, whatever it is, replicate agent three, really, really good. Alright. We got a video model.
Jordan Wilson [00:48:57]:
There we go. Runway gen four five. So runway was technically one of the OG video models right before we had a VO, before we had a Sora, we had runway. So this is actually great for professional grade AI video generation for, you know, both filmmakers and creatives. So what's new this year? Well, act one, which is impressive. So you can capture facial and body motion from your webcam and transfer that to AI characters. It's bonkers. Right? Such a cool feature.
Jordan Wilson [00:49:27]:
So if you are trying to do something a little higher level. Right? You know, trying to get the right facial expression on something. Maybe you're just shooting a little ad for your company. Right? And you can't get your the avatar or whatever you're working with. You can literally act it out the facial expression, the body expression, and it will do that. They also did add the multi motion brush brush for selective animation, which is good. They've had this single animation brush for a very long time, so that's good to get the multi one. And then, well, what does this unlock? Well, controlled AI performances using your expressions, stable characters across frames, professional quality output, and, obviously, the new updated, you know, going from, gen four to gen 4.5, pretty big boost.
Jordan Wilson [00:50:12]:
So who is this best for? Marketers, creators, advertisers, filmmakers, commercial production, music videos. Essentially, if you're a creative professional, you should probably be using Runway Gen four five or at least try it. Alright. Next on the list, Sora two. So what is this? Well, this is OpenAI's video generation model with native synchronized audio. That's the, you know, that's really what was unlocked in 2025. You gotta tip the cap to, Vio, which we're gonna get to here in a second, which was the first. Right? But Sora, good.
Jordan Wilson [00:50:47]:
It's really good. Right? The video model's very impressive. And it actually launched via an app. Right? So, yes, it's part social app slash brain rot, but still really impressive video model. So you can, you you do have to sign up for it on via the mobile app, which is technically like a social network, but you only have to do it once, and then you can just do it on your computer from there. So now you can do up to twenty five second clips with native audio, including dialogue synced lips, sound effects, and music. There's a story board story board mode, which they've had since the original Sora, which again, a really underrated feature of Sora. Best used, I think, on the, the desktop, obviously.
Jordan Wilson [00:51:30]:
They have now the character cameos, which are just called characters now. Right? So you can upload yourself, and then you can then just have yourself do anything. Or you can make your character, you know, public, or you can share your character with friends or coworkers, and then they can use, your character to do or say anything. Right? So, there's obviously a lot of, you know, scary things that can be done, but if you're putting your character out there for anyone to use, well, you can maybe expect people to use it for bad purposes. But, I think this unlocks just so many, creative use cases. I'm not personally, using this. Obviously, I used it to test it a little bit, but I think this is best for short form content, social video, marketing clips, all those things. You know? So if your, if your company is trying to, you know, make it on TikTok, you you know, with vertical video, Sora is a fantastic tool for that.
Jordan Wilson [00:52:28]:
Me, I could care less about social media vertical videos. I don't scroll, you you know, vertical videos. So not my thing personally, but extremely impressive. Alright. And we did go over that Sora two, AI TikTok brain rot or your company's secret creative weapon, in episode six twenty three. Alright. Two more. Number 24, SUNO b five, the AI music generator.
Jordan Wilson [00:52:54]:
Essentially, without going into too much detail, there's a lot of new things, but the major thing is quality jump. More natural vocals, better instrument separation. You can actually separate different things. Almost think of, a song now that's layered, and you can control each layer, with text prompts. You can also, you know, upload samples of yourself, like humming a tune, things like that. But, Suno v five, again, this is one of those things where, yeah, it's probably better than, you know, 90. I'm gonna get some hate mail from this. Sorry.
Jordan Wilson [00:53:27]:
It's better than 99% of musicians. Right? Like, essentially, if you're not, you know, on tour or, on the billboard charts or, you know, probably Sunov v five is just as good or better if you're not one of those things. Right? The music, it creates bangers. Right? Bangers. People didn't know this. There was actually an artist that was breaking onto all the billboard charts, and they found out later it was someone just using Suno. But I think that's gonna become maybe kind of the norm because the music is that freaking good. And this is an older one, but it was just a fun interview, that I had with the CEO of Suno a couple years ago, episode two zero seven.
Jordan Wilson [00:54:12]:
It's probably a cringey interview because it's so old, but it was it was a fun one. I'll leave it at that. Go listen to it. Alright. And then last but certainly not least, we have b o three one. So, this is Google's flagship video model, and it was the first to generate synchronized audio natively and really good. So what is new in 2025? Well, the native audio generation, including ambient noise, music, dialogue, sound effects, alongside video, the physics understanding through the roof because it's Google in up to four k resolution. So this is true end to end video generation without the need for extensive post production audio work.
Jordan Wilson [00:54:52]:
Right? The ability for, you know, beginning frame, end frame, generations, bonkers. So good. I wish I had more time in the day. I would be using v o three one. I would be using Google Flow more, but this is best for video content creation, marketing, essentially anyone wanting complete videos without editing audio or without needing a huge team. Whew. That took way longer than I thought y'all. I am physically tired after this one.
Jordan Wilson [00:55:23]:
So many AI tools, but, go ahead, get your votes in one last time. So live stream audience, I'm gonna give you a second. Go ahead. Vote, for your favorite number. Just put the number if you want. You know, you can, I guess you can click pause on a live stream too? Right? Yeah. You can click pause on a live stream and then just finish, you know, you'll be five seconds behind. You're like a delay.
Jordan Wilson [00:55:49]:
Like that time I had a Super Bowl party with two TVs, and one was delayed. And, you know, everyone's screaming over in this corner, and everyone in this corner is confused. Right? There you go. Alright. Now, oof, if you want the top 50, everyone that didn't make the list, make sure you repost this. Alright. So now I need to quickly rank these, even though, we went very long. Let's go ahead and rank them.
Jordan Wilson [00:56:16]:
And like I said, with our little vibe coded, ranking system here from Google Gemini, in the canvas mode. Alright. Let's do it. Let's get down to business. Where would you put everything, y'all? Where would you put everything? This is tough decision. You know what? I kid you not, guys. I never thought, like, people listen. I hear from people all the time, like, at OpenAI, Google, you know, Microsoft, other labs, and they're like, oh, I saw you, you know, talked so great about this, and I was kinda salty or, you know, hurt.
Jordan Wilson [00:56:52]:
So it's like, I don't wanna hurt anyone's feelings, but, yeah, I'm I'm just gonna tell you guys the truth here. And just because something's a d, right, that doesn't mean it's bad. That means it's still beat out hundreds of other and by hundreds, I mean, thousands of other extremely capable AI tools. And, again, remember one last, reminder on this. This is for nontechnical people. Right? This is for your everyday business leader. Like I said, there's so many other great, right. If you're talking about certain, niches, certain verticals, there's so many great tools.
Jordan Wilson [00:57:26]:
Right. Let's go quick here. This is a long one. All right, here we go. Let's start with, let's start in the middle. So I think lovable. Great. I'm going to put that at sea level, also on sea level manis.
Jordan Wilson [00:57:41]:
I've been using manis a ton more lately. They've been rolling out some great updates in 2026 already, that I'm loving. Like I said, I gotta get a little bit better at, you know, testing out the, one six light, the normal one six and the one six max. Right. Sometimes I just go straight max and eat through my credits. One prompt eat through my entire month's credits. All right. Let's keep this thing going.
Jordan Wilson [00:58:06]:
You know what quad code? Oh, where do you think y'all, where do you think quad code is going to go? Banger as quad code. It is so good. All right. Canva visual studio or visual suite two point zero that's D tier still made the list. Still use it technically every single day. I do. All right. Let's go here.
Jordan Wilson [00:58:29]:
Let's go here. All right. We're going to go Suno, on the D nothing against Suno. It's literally fantastic. I'm just thinking for overall use cases. I still think a lot of people are using music, but it's the best one by far, which is why I made the list and it's extremely popular. All right, let's keep going. Let's do chat GPT pulse.
Jordan Wilson [00:58:50]:
That's going to fall on the D again, I think. More people had access to it. If it was a little better at receiving feedback, maybe a little bit higher. All right. Let's go. So many options, so many options. All right. Let's go.
Jordan Wilson [00:59:06]:
GenSpark. That's going to go D that was tough for me, probably between D and C, but probably, probably right there. All right. Let's go. By the way. Gemini canvas crushed this thing. It's so smooth. There was other ones online, but they were all buggy and I'm like, I'm just going to make my own, my little tier sheet and I can rearrange them.
Jordan Wilson [00:59:29]:
Alright. Gemini three flash. There's a lot of things I gotta get to. Alright. That's gonna be b. That's tough. It is so good, so fast. It's gonna be used by billions, literally billions of people, but I gotta put it there.
Jordan Wilson [00:59:43]:
Alright. Gemini five two pro. Gosh. It's gotta go s. It's gotta go top. Right? It is the best model. Even though Gemini three Pro has become a little bit more my workhorse, my day to day, when I need something done a 100% and I need that chain of thought, I need that transparency, I'm going to Gemini five two pro, and I'm not looking back. Alright.
Jordan Wilson [01:00:03]:
Runway, gen four five. We're gonna drop that down d level. Alright. We're gonna go chat GPT deep research. This is tough. I'm gonna have to go to a. I can't put everything on s. That's the tough part.
Jordan Wilson [01:00:20]:
Alright. Let's go to replit, and we're gonna put that at c. Replit Agent three. So good. Deep seek, same thing. We're gonna put that at c. More than anything, this is not even necessarily the model's capabilities. It's what it's done for open source.
Jordan Wilson [01:00:35]:
Right? That's why I'm saying it's a top AI tool and release because it is impactful. Not because I think people should be using it, but because it pushed all the other companies. Right? We got a extremely capable, GPT OSS, from OpenAI. Maybe not in response, but I don't know. They had to be influenced somehow by that. Alright. Let's do, oh, let's do perplexity comment. This one's tough.
Jordan Wilson [01:00:59]:
This one's tough. Alright. I'm gonna have to do for perplexity comment. I'm gonna go b level. I'm gonna go b level with that. Alright. And because it's so those, I mean, those two are neck and neck. I'm gonna also put chat GBT Atlas, B level.
Jordan Wilson [01:01:16]:
Let's start filling in the a level. Okay. Oh, v o three one, man. The fact that that didn't make the s level, it's gone. It's going a. Alright. Alright. Also going a, we're gonna go GBT image one five.
Jordan Wilson [01:01:38]:
Where are we putting Microsoft copilot agent modes? I think that's going to go B level and it's going to go B. Alright. Sora. Sora two. Okay. We're gonna do Sora two. I think maybe, we're going b or c y'all. I'm gonna go B for now.
Jordan Wilson [01:02:04]:
We might change that. I wanted to try to make these somewhat even, so I might change that. Oh gosh. Gemini canvas mode. That's gotta go a. It's so good. Can I put it as probably not I'm looking? I got, I got smasher bangers only left. All right.
Jordan Wilson [01:02:22]:
Cursor. I think cursor, we can go see extremely capable. Still really good. Oh my gosh. This is hard. Okay. So I have five at D. All right.
Jordan Wilson [01:02:34]:
So I have Suno v five chat GBT poles runway gen four five, Canva visuals suite two, and Genspark on d. On c, I have Replit agent three, Cursor two, DeepSeek, Family, Manus and Lovable. And then on b, I have Gemini three Flash, Perplexity Comet, Chad GBT Atlas, Sora two, and the Microsoft three sixty five copilot agent modes. And I have a couple left that I gotta fill in. I mean, can all of these go s? Let me see. Okay. That would just be I can do this. Right? I mean, nano banana pro gotta go s.
Jordan Wilson [01:03:11]:
Claude Opus four five. Oh, I would catch heat for putting this aid level. It's it's a really good model. Alright. It's gotta go s Gemini three pro. Gotta go us and y'all for the second year in a row notebook, LM studio updates, not only go in S mode, but tool of the year. Yeah. Shout out notebook l m team.
Jordan Wilson [01:03:42]:
Tool of the year again, it has to be. So last year, it was just the tool of the year because it was brand new in 2024. But the fact that in, notebook LM now, again, it's grounded. Alright? So what that means is it's not pulling random information from its training data on the web. It's only what you give it, which is why if certain companies, individuals are like, we're not sure about large language models. Use notebook l m, and you'd be like, oh my gosh. This thing is I'm never gonna stop using this. Right? They came out with a great mobile app.
Jordan Wilson [01:04:13]:
You can upload screenshots in the mobile app. All this studio advancements that they made, the ability to create unlimited deep dive podcast, the different versions of deep dives, the customizable studio reports. My gosh. The videos, powered by, Nano Banana and the slides powered by Nano Banana. My gosh. I mean, it is almost as good as Gemini, as chat GBT, as Claude. Right? What you can create inside notebook l m because of these twenty twenty five updates, it is on the same. Right? If this was by another company, right, I think maybe it doesn't get the love that it might deserve, notebook LM, because it's a Google product.
Jordan Wilson [01:05:00]:
They're like, oh, well, you have, you know, Google Gemini. Well, okay. I mean, you have notebook LM that's powered by Gemini three. You know, you have the, the the videos, the nano banana, the slides. It is that good. It is our tool of the year again this year. But in our newsletter, we're going to announce, the people's choice, the audience choice. So I'm gonna go through, and I'm gonna count, whichever one has the most votes from the audience, and we're gonna give that the audience award.
Jordan Wilson [01:05:30]:
Alright. That was a ton to go over. I'm sorry this turned into an hour long episode, but I don't talk about AI tools, a ton. So, you know, I'm just shoving it all into one episode a year, so that's why it's a little longer. Alright. I hope this one was helpful. Like I said, make sure to tune in. What is yeah.
Jordan Wilson [01:05:51]:
Tomorrow. We're gonna be starting our start here series. Alright. People have been asking for this for literal since 2023. You know, they're like, Jordan, you have hundreds of podcasts. Where do I start? And I always have to, like, answer that individually. Well, I'm like, it's January. Everyone's trying to, you know, double down and learn about AI more.
Jordan Wilson [01:06:13]:
So we're gonna have a start here series. We're gonna probably release two or three a week, you know, off and on. We'll see. But, you know, we're gonna release them intermittently through January and February as we get done, producing these. So these probably won't be live, but be a little, little faster. Alright. But these are great. Whether you're a beginner, you're starting at square zero, whether you, you know, you're like, oh, I've been tinkering around with a toy or two, you know, Chattopty here, Gemini there.
Jordan Wilson [01:06:43]:
Right. Or even if you're someone that's using it every single day, it's always changing. Right. People are always like, you know, the, the analogy is like, oh, you know, if you were a history major, you know, what changes in history? Well, not a lot. Right? So even if you're using AI every day, I guarantee you, you are gonna benefit so much from our start here series. All right. And this is something, we'll probably keep updating a little bit in the future as things change, but this is our number one request. People are like, where do I start? So this is covering think of this as like a one zero one course in, you know, university.
Jordan Wilson [01:07:19]:
You gotta get all your gen eds, right before you take your special classes because, you know, otherwise, those, classes for your major aren't gonna make sense if you don't have the baseline, if you don't have your core classes. So this is the core class if you want to graduate from everyday AI university, if you want to be, an AI leader, if learning generative AI, large language models was on your to do list, was on your kind of New Year's resolution, the start here, series is for you. So make sure to tune in tomorrow as we kick that off, and make sure to go to your everydayai.com. Sign up for the free daily newsletter. Thanks for tuning in. We'll see you tomorrow and every day for more everyday AI. Thanks, y'all.