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Anthropic Claude Opus 4.5: The AI Solution for Coders or a New Industry Leader?
Recent developments in the AI landscape have shifted rapidly, prompting leaders in tech and business to reconsider which models power their operations and competitive strategies. Claude Opus 4.5, Anthropic’s latest flagship model, entered the market just days after Google released Gemini 3 Pro. What distinguishes this model from its competitors? Is it the new industry gold standard, or is its value primarily confined to coding and technical verticals? This breakdown brings clarity by surfacing practical, benchmark-driven, and use case-relevant insights directly referenced in the Everyday AI podcast episode.
AI Model Benchmarks: Precise Performance for Business Data Applications
Businesses relying on large language models expect advances in coding, agentic reasoning, and data-heavy workflows. According to fresh benchmarking data, Claude Opus 4.5 claims dominance in agentic research and software engineering, setting new highs on the sweep bench-verified metric (an industry standard for coding and bug-fixing assessments). Anthropic positions Opus 4.5 as “the best model in the world for coding agents and computer use,” and in their own sharing, it leads most benchmark categories for coding and agentic tasks—yet independent aggregate coding indices show Gemini 3 Pro and OpenAI’s GPT-5 series outperform Claude in broad-use contexts.
Business decision makers should note that while Claude performs top in select verticals (coding agentic workflows, vision analysis, and multi-step reasoning), it only takes the lead for specialized tasks and not as a general-purpose AI solution. Especially for teams integrating engineer-focused AI or multi-step workflows, this specificity is essential.
API Pricing Cuts: An Opening for Scalable AI Integration
Anthropic’s strategic move to cut API pricing by two-thirds marks a substantial shift for organizations considering backend AI deployments. Previously outpaced by high costs and middling benchmark results, Claude now offers financially feasible price-per-performance for enterprise-scale use. For businesses previously priced out, especially those in software engineering or technical operations, Opus 4.5 is now viable for backend workloads, allowing larger teams to experiment and iterate at scale with significantly reduced spend.
Companies using modular AI architectures benefit most here. The cost reduction means swapping in Claude Opus 4.5 as the engine for coding workflows, data analysis, or agentic task orchestration is now justifiable on both performance and budget dimensions.
Advanced Agentic Workflow Features: Tool Orchestration for Enterprises
Enterprises managing complex projects or long-running tasks should examine Opus 4.5’s strengthened agentic features. The latest release introduces:
Enhanced Tool Search: Dynamically locates needed tools from vast libraries, helpful for businesses orchestrating many simultaneous processes and avoiding context pollution in workflows.
Context Compaction Improvements (“Infinite Chat”): Supports lengthy, multi-step workflows without breaking context, though practical limitations remain for multi-document, high-token-load tasks.
Multi-Agent Self-Refinement: Enables systems to iteratively improve with fewer cycles, accelerating project delivery timelines.
Notably, engineering teams can expect reduced multi-day project cycles to mere hours, a direct productivity impact validated by Anthropic’s benchmarks.
Multimodal Vision and File Creation: Expanding Practical Business Use Cases
Opus 4.5 demonstrates strong performance in multimodal understanding, scoring 80.7% on MMMU validation and now offering a Zoom tool for image region inspection. This is particularly relevant to industries processing complex diagrams, manuals, and documentation, especially in manufacturing, technical support, or operations.
The model also introduces robust file creation features, including high-quality PowerPoint and Excel output with interactive dashboards—a boon for knowledge workers, financial analysts, and project managers seeking automated yet polished deliverables.
However, on large tasks involving intricate uploads or cross-document chaining, persistent context window limits mean the model may stall or fail, underscoring the need to match business problems to the model’s current tolerance.
Underrated Feature Updates: Business-Driven Integrations
Three features subtly woven into the Opus 4.5 release expand options for enterprise users:
Claude Chrome Extension: Now accessible to more users (Claude Max and Enterprise tiers), this delivers agentic features directly inside browser workflows, supporting cross-tab orchestration and robustness against prompt injection attacks.
Claude Code on Desktop: Software engineers gain streamlined access, running simultaneous local and remote sessions from the desktop app (a clear differentiator with operational ease for technical teams).
Claude in Excel: Generally available beyond beta, this specialized tool leverages programmatic calling to handle thousands of spreadsheet rows efficiently, enabling advanced data analysis and reporting without the need for external scripting.
These features speak directly to business owners’ needs in automation, seamless workflow integration, and enhanced security.
Google Gemini Canvas vs. Anthropic Artifacts: Flexibility for Non-Coders
For non-technical teams, Google’s Gemini Canvas currently leapfrogs Opus 4.5’s Claude Artifacts for real-time, interactive dashboarding and micro-app creation. Gemini Canvas offers visually stunning, highly customizable outputs and supports easy deployment for reporting and planning workflows. Decision makers should weigh which platform (Claude or Gemini) best fits their staff’s technical fluency and the UX demands of daily deliverables.
Translating Benchmark Claims to Real-World Business Value
Despite aggressive positioning by Anthropic in promotional materials, third-party benchmarks and live user tests demonstrate that Claude Opus 4.5 does not fully capture the general-purpose crown—particularly on front-end use cases or high-complexity, multi-document tasks. The model shines for coding, vision, and vertical data analysis, especially for companies prepared to leverage its cost-effective API access and newly extended context capabilities.
Organizations seeking best-in-class agentic reasoning, advanced coding productivity, or vertical-focused integration should consider Opus 4.5 as a strong candidate, provided operational requirements align with its strengths and limits.
The Bottom Line: A Strategic AI Choice for Specialized Business Needs
The AI sector’s rapid iteration means business owners and decision makers must navigate evolving model strengths and pricing structures. Anthropic’s Claude Opus 4.5 delivers frontier coding capabilities, agentic workflow improvements, and business-relevant integrations. However, broad-use, generalist applications may still benefit more from Google Gemini 3 Pro or OpenAI’s GPT-5 series, depending on context and team workflows.
Enterprises should assess their technical stack, modular strategy, and daily operational needs before committing to a platform—balancing both the model’s benchmark performance and practical limitations uncovered in hands-on evaluation.
Topics Covered in This Episode:
- Claude Opus 4.5 Release & Overview
- Anthropic's Coding & Agentic Task Benchmarks
- Opus 4.5 vs Gemini 3 Pro Comparison
- API Price Cut & Cost Efficiency
- Agentic Tool Search and Context Compaction
- Multimodal Vision Features & Zoom Tool
- Claude for Excel & Enterprise Data Workflows
- Chrome Extension and Desktop App Updates
Episode Transcript
Jordan Wilson [00:00:16]:
Is Google's reign on top of the AI throne already over just a couple days after Google released Gemini three Pro? Anthropic quietly released what they call the best model in the world for certain tasks. And now the rest of us are left here wondering what the heck happened. How can we keep up? And is Claude's new model or Infropic's new model in Claude Opus 4.5, the new king of the AI hill, or is it just a really good model for developers and people who work with data? Well, we're gonna be diving in on today's episode of Everyday AI to find out. Let's get after it. What's going on y'all? My name is Jordan Wilson. Welcome to Everyday AI. If you're new here, this is your daily livestream podcast and free daily newsletter helping everyday business leaders like you and me make sense of these AI updates. Yeah.
Jordan Wilson [00:01:15]:
Apparently, you're the world's best model every other day. Alright. So this is where we help you keep track of all those updates, leverage them, and grow your company and your career. So if that's what you're trying to do, awesome. Starts here with the unedited, unscripted livestream podcast. But to take it to the next level, you gotta go to our website, the cheat code not in disguise, youreverydayai.com. Go sign up for the free daily newsletter. We're gonna be recapping today's episode and a whole lot more, including the AI news for today.
Jordan Wilson [00:01:45]:
Who knows? By the time the newsletter's out in a couple of hours, maybe we'll have a completely new, leader in the AI world. Alright. So let's get into it. And first, apologies y'all. So this is our putting AI to work on Wednesdays, series where on Wednesdays, we do more of a practical look, at new large language model updates usually from one of the big four or new features, from Anthropic, OpenAI, Google, or Microsoft. And on Monday, y'all, I I I said, hey. We're gonna be taking a deeper look at Gemini three. But then hours later after our Monday show, Anthropic made this huge splash out of nowhere, and now we have Opus 4.5.
Jordan Wilson [00:02:28]:
And according to some benchmarks, it is the best model in the world for specific tasks. So, we'll still do another deep dive on Gemini three. Don't worry. But today, we've gotta take a look at this new model from Anthropic in Opus 4.5. So on today's show, we're gonna dive into those benchmarks from Opus 4.5, industry leading in many different categories. We're gonna showcase three overlooked feature updates that Anthropic barely even mentioned, and we're gonna explore three different use cases for Opus 4.5 across agentic research, file creation, and data analysis and coding. Alright. So let's just start there.
Jordan Wilson [00:03:11]:
Let's start at the end. Alright. So, livestream audience, let me know. Can you see my screen? Hopefully you can. So, we're gonna end up showing you three use cases. We're only gonna be able to do two of them live, because I did some token math and because of, Anthropics, terrible rate limits, which even though they just said that they updated, they're still terrible. We're only gonna be able to demo two of these live, but I did run another one earlier that we'll be able to take a look at. Alright.
Jordan Wilson [00:03:40]:
So we're gonna get these started like any good cooking show. Let's get get in the kitchen. So I'm gonna describe, a little bit what we're doing later on these, but let me just read the, different prompts and let everyone know. So podcast audience. This is probably not gonna be a super visual episode, but I do always recommend just going to our website. Again, youreverydayai.com and check out the video version of this. Alright. So the first one here, again, I'm selecting Opus 4.5, which is now available for, paid users.
Jordan Wilson [00:04:10]:
And my first task, we ran a couple of these last week in, our, kind of hands on, initial hands on with Gemini three Pro from Google. So the first one I'm saying, read the last five newsletters at read.youreverydayai.com. So, yeah, you can actually go read every single newsletter we've ever had, on that website. And I'm saying then find 10 recent AI news stories that were not covered in those five issues. Research each story and outline how each would look as a podcast segment. So just episode title, main points, context background, and a short show outline, ground answers with links to sources. Alright. So, again, when I go over these use cases, I'm giving you actual use cases that we test different models and how we use, different modes and features, across the big large language models.
Jordan Wilson [00:05:01]:
It's a question I get all the time. Jordan, how are you using AI? Well, here, I'm showing you. We're putting AI to work on Wednesdays. Alright. So let's get that first one cooking, get it in the oven four fifty for twenty minutes. I don't know if it's actually gonna be four fifty for twenty minutes. We'll see. Alright.
Jordan Wilson [00:05:16]:
Next one that we're gonna get it going. I'm uploading three different documents from my podcast. So these are, just different stats. We use buzzsprouts as our podcast host. So we get some different stats here. So what I'm saying is analyze my podcast stats. I've uploaded the files, using Claude artifacts. I'm gonna talk more about artifacts later.
Jordan Wilson [00:05:38]:
It's always been one of my feat favorite modes across any large language model. So I'm saying using Claude artifacts, show me the top 10 obvious trends, the top 10 hidden trends, 10 biggest growth opportunities, and 10 episode ideas I should plan for December 2025 based on recent trends. Using cloud artifacts, build a dashboard that is extremely interactive, sortable, and filterable, and useful as if it were a full stack high high priced SaaS application. Again, using Opus 4.5. So the first, the first prompt more on the, agentic research side. The second one at least that we'll be able to run here, live a little bit more on, data analysis, visualization, coding, etcetera. Alright. We're gonna let those cook in the background, and let's get into more of the details now on what's new inside Claude Opus four point five.
Jordan Wilson [00:06:31]:
Again, we had kinda heard some rumors and and, rants, recently that, Anthropic might release Claude. We actually, in our newsletter, it's it's the hard part of a daily newsletter, y'all. I I remember hitting send, and I kid you not. It was seven minutes later. I go to my wife. Oh my gosh. Anthropic just released a new model, and she's like, alright. Didn't you just say this last week, like, twice? There's a new best model in the world.
Jordan Wilson [00:06:58]:
Yes. I did. That's how quickly AI news happens. So, there's kind of we knew something was coming, didn't know it was coming, this early. So here's, kind of what's new and the biggest takeaways from Claude four five Opus. So and I gotta get in the right habit. Technically, Opus 4.5. It used to be, number then Opus, but it's Opus four five.
Jordan Wilson [00:07:22]:
I have it wrong on my little, visuals here. So, Opus four five is Anthropic's top model. Alright. So they have their three different tiers. All of them now are on the four five variant. So you have your haiku, which is your kind of, fastest but least intelligent. You have your sonnet, which is kinda your middle of the road, middle intelligence, middle speed. Then you have your Opus, your most powerful, but usually a little bit slower and more expensive if you're using it on the API side.
Jordan Wilson [00:07:48]:
For the most part, aside from when we're talking about API pricing, we're talking about using Claude on the front end or using, Opus 4.5 on the front end. So that's when you go to claude.ai and you're using it as a front end chatbot. So they did say that this is their new top model achieving state of the art results in coding in agentic tasks. The API price cut, huge. We're gonna talk about that, in a couple of slides here. And it did set a new benchmark on its sweep bench verified, which is one of the, you you know, if you are a developer, software engineering, coder, you know, sweep bench verified. It is one of the more, notable benchmarks that AI models go through specifically when it comes to coding and completing, different kind of bug creation or or bug fixing, to put it in layman's terms. This also introduces an effort parameter, on the dev side to trade response thoroughness for token use and latency.
Jordan Wilson [00:08:45]:
So that's on the dev side. And then there's also some new enhanced agentic features. So tool search and context compaction or the infinite chat, which improves long running multi step workflows. Benchmarks. We gotta talk about it because even though Anthropic was kind of quiet with their announcement, right, simple blog post, couple tweets. Right? Not the, usual type that we're, used to out of Silicon Valley. Right? Big splashy livestream, you know, big production. Anthropic just kind of, you know, put out a couple videos and just a little blog post.
Jordan Wilson [00:09:25]:
But they were extremely splashy by calling this the again, and I'm gonna quote their words, the quote unquote best model in the world for coding agents and computer use. And in the benchmarks they shared, aside from three of the benchmarks where, either Gemini or OpenAI, came out on top. So in the other what is that? In the other six or seven, quad Opus 4.5, was tops, against, their older version, SONNET 4.5, Opus four one, and then Gemini three pro, and then GPT five one. What's important to note, there already is a more powerful version of GPT five one, which is GPT five one pro, which is extremely impressive. I think for me even, I mean, we'll see how Opus four five, fares. I don't think it's gonna end up being my daily driver model. My daily driver model probably now is gonna be Gemini three Pro. But when I need a little bit more power, a little bit more juice, I'm probably personally gonna be using GPT five one Pro, an amazing model.
Jordan Wilson [00:10:29]:
Unfortunately, only available on that $200 a month pro plan. But Opus four five, at least for these, benchmarks on agentic coding, agentic terminal coding, agentic tool use, scale tool use, computer use, and the novel problem solving. These are the benchmarks that, Anthropic shared on their website, pretty pretty far ahead of everyone else. So if you're just looking at Anthropic's website and reading their blog posts, you might just think, oh, this is the most powerful model in the world. And that's literally, like I said, what they said themselves. Is it? I don't know. Let's look at some third party, some third parties here. So on the artificial analysis, website, and this is, we've mentioned it, before, on our show.
Jordan Wilson [00:11:17]:
This is a great, unbiased third party site to look at, when you're trying to figure out what is the best model for what use case. Right? So this is, kind of an aggregate score of some other different benchmarks, including live code bench, side code, terminal bench hard, and some others. But you'll see here even on the coding index, not even the artificial analysis intelligence in index, which is kind of like their overall or, kind of their, you know, final boss metric, so to speak. So even on the coding one, even though Anthropic said best model in the world for coding, when you start to look at aggregate coding benchmarks, it's it's not. So Gemini three Pro, comes in ahead of Claude op Opus, 4.5. So, interestingly enough, they didn't, on aggregate benchmarks. They aren't the best in the world. And two points actually, and this is a pretty comfortable lead.
Jordan Wilson [00:12:17]:
And then even on the artificial analysis intelligence index, it's not in the lead either. It is tied, for second place with GPT five one high, which again is not OpenAI's best model. It's not benchmarked. Their GPT five one pro is not benchmarked. It just came out last week. There's no API access yet. So that's why the GPT one five pro has not been benchmarked in a lot of different places. But, even on the artificial analysis intelligence index, which is the conglomerate of all the different, available third party benchmarks.
Jordan Wilson [00:12:50]:
Gemini three pro is fairly ahead of Claude Opus four five, which I said right now is tied with GPT five one high. So seems like some cherry picking, some cherry picking and marketing, to me from anthropic in those claims. But other third party benchmarks do show, that it's, you know, doing very well. In this case on live bench, it does hold a slight lead over Gemini three pro in GPT five high on their kind of aggregate scoring system by less than a point, about point seven, points over GPD five high, and about, point three points over, quad four five OPUS. So very slim lead. But is it a top tier model? Absolutely. Especially, I I think you're, working on any agentic task. If you're using, Claude on the back end, absolutely.
Jordan Wilson [00:13:49]:
Dev software engineering. Sure. But, you know, a lot of our audience, I believe and, hey, let me know in the, either the live stream comments or in the podcast comments if I'm wrong. But I think a lot of our audience is using these models on the front end and a lot of times with a team. And in that case, I don't think, really Claude four five opus for general task is a clear runaway king of the AI hill, so to speak. But let's highlight some of the, more notable, kind of, accomplishments and also just what's new across the board with this model. Because it's a lot more, I'd say than just a, small little marginal updates to Opus four one or to SONNET four five, whichever you consider to be their most powerful model. So obviously, the headlines, software engineering and coding.
Jordan Wilson [00:14:39]:
It's actually interesting. Before I started recording, I I I wanted to look at the history of what Anthropic itself has benchmarked itself against. If you go back to some of its earlier models, you know, a year and a half ago, they're not using the same benchmarks. They've essentially, given up on being a general purpose model. And they're really only focused on, I think making a, a play in the vertical space. I really think they only, want to compete in the long term kind of software engineering and, financial, and the agentic sides. Right? So I don't think, Anthropic is really concerned with, you know, anymore being like a great, strategist, a great creative thought partner, you know, being, overly creative, those those types of things. I don't think that's where, the model has been, developed over the last, six to nine months.
Jordan Wilson [00:15:38]:
Anyways, on the software engineering and code side, it did receive an 80.9 on sweep bench verified. That's absolutely frontier engineering ability. Also, according to Anthropic, it can reduce multi day team projects to hours, you know, giving a boost to your team's, engineering velocity. And it outperformed any human ever on Anthropic's own, two hour engineering exam. And this was, Opus four five was the first, model from Anthropic that actually outperformed any human ever. So Anthropic has their own, internal, engineering exam, and this is the first time that it outperformed any human that had ever taken it. So let's talk a little bit on the API side because that's the other big play here. Alright.
Jordan Wilson [00:16:28]:
So I am, at the at the very end, gonna give you kind of the three under under the radar features. But, I mean, if I had to say number four, it would be the cost reduction. So previously, it didn't make sense anymore, for anyone, if I'm being honest, to use Anthropic's models on the back end. They were ridiculously expensive depending on what your task was. You know, not only, before this came out, before Opus 4.5, Anthropic was not a top three model, even for engineering and coding, at least if you look at any relevant benchmark. Right? Actually, let me just scroll back here a couple couple spots here on my screen. So you'll see, let's see. Yeah.
Jordan Wilson [00:17:14]:
Here we go. For the coding index. So again, this is the aggregate of multiple coding benchmarks. Up until, this week in Opus four five, they did not have a top five coding model. Alright? Claude four five Sonnet was not a top five coding model. And so the fact that, Anthropics API was still, anywhere three to 10 x more expensive than the other models that were better at them than coding. You know, I said that on the show, probably two months ago. I'm like, no one out there should be using anthropic, like, pretty much period because across all bun benchmarks.
Jordan Wilson [00:17:56]:
And this was after, you know, essentially after Gemini 2.5 pro, 2.5 pro flash, after some, you know, even OpenAI's codex models, that they released, here earlier in November. It didn't make sense. It was way more expensive in most benchmarks. It literally couldn't compete even in the top five. So big big move here from Anthropic to maybe go in and change that. They said, okay. Yeah. We're gonna come back on the top of, some of these leaderboards.
Jordan Wilson [00:18:24]:
And, yes, we are, going to try to, remain or, sorry, maintain our stranglehold as, you know, coder or, software developers favorite model on the API side. Not only that, but we're gonna come in with a huge API price cut, which does, is still not the best price per performance, but at least now it makes sense financially. Right? So, they did cut their API pricing by two thirds. So now it you you know, they kinda took their, model from the penthouse to the, Ground Floor where the work is being done. Alright? Where before, you know, even three to four weeks ago, I didn't really know. And I talked to a lot of people in the space, obviously. I didn't know anyone, that was doing big numbers on the API side that was still using Claude. And if they were, it just means that they didn't do their proper due diligence on, you know, having a modular approach.
Jordan Wilson [00:19:22]:
And, you you know, you have to be modular, especially when a a model like Gemini three pro can come in. And I'm sure we're gonna be seeing some, flash in a flashlight versions, coming soon. You have to be ready to swap those out. Right? So no one was actually, using, right, at least huge enterprises that are spending millions of dollars annually. We're not still using any of, Claude's models. So, big play there. And it's it's it should be interesting to see, how and when and if, I guess, anthropic continues to cut their prices. Obviously, they've, had a a longer standing partnership with Amazon in using Amazon's, chips.
Jordan Wilson [00:20:09]:
But, we also saw news last week for a multibillion dollar partnership with Google, to use Google's TPUs, which, as of recently have been getting a lot of love. So, you know, kind of a combination of those things, and maybe, behind the scenes, anthropic reducing, its, reliance on NVIDIA has maybe allowed it to be a little bit more competitive on the API side. Alright. Next, agentic workflows and tool orchestration. So they've really optimized, four five, Opus four five for reliable agent handling, more complex multi step reasoning. Also, again, a lot of this is more on the on the, API side too. So tool search, being able to dynamically find needed tools from large libraries, so avoiding context pollution. Right? I mean, if you are a software engineer, I'm sure that's a pain point for you.
Jordan Wilson [00:21:09]:
Right? Working in longer context windows, you you know, having to really, pile on top of the scaffolding of these now very agentic models. Right? It got a little cloudy. So, apparently, OBS 4.5 a little bit better at that. And also it enables multi agent systems that self refine in fewer iterations. Another benchmark we didn't go over, but very impressive in third party benchmarks as well is just the the the vision capabilities. And that's one that I'm personally interested to test out a little more. Again, when when I'm talking about these things, I always especially on Wednesdays. Right? I always want you to be thinking of your use cases.
Jordan Wilson [00:21:47]:
Right? So maybe you have extremely complex diagrams. Right? And this is a big part of what your company does. You know, parsing information, out of manuals with, you know, complex illustrations inside of PDFs, etcetera. You know, Opus 4.5, extremely high benchmarks even on third party benchmarks, for, vision and multimodal capabilities. So they did score a 80.7% on MMMU validation. So more also, it added a Zoom tool. OpenAI kind of, stole the show and kind of went a little viral among us AI nerds last year with this. But, Anthropic finally followed suit with a Zoom tool, for inspecting screen regions at full resolution.
Jordan Wilson [00:22:34]:
Right? Just to be able to better understand, images. Right? The future well, not the future, but in 2025. Right? The default for, large language models, they have to be multimodal. They have to be able to understand, images as an input. Unfortunately. Right? And that's a game. Anthropic is not playing on the output side even though, you know, obviously, Google and OpenAI can output video and images. That's an area that anthropic is not yet playing in.
Jordan Wilson [00:23:04]:
Alright. Next big category of improvements with Opus 4.5, just improved tool support for Excel, which we're gonna be talking about here in a little bit and Chrome. Another one we're gonna be talking about. They also, have said that they've, worked on their context, issues. And I'm not gonna frame this as like a as a new feature. No. This is them trying to fix, something that has made their platform absolutely unusable. I've talked about this before in the show, especially on the front end, for front end users.
Jordan Wilson [00:23:34]:
Single prompts y'all. Single prompts, have busted, not just the rate limits for Claude, but also the context window. I've run single prompts. So, we'll see if that gets any better. Also, Infropix says that Opus four five produces more consistent domain aware spreadsheets, slides, and documents for precision verticals. That is a huge, another, kind of under the radar feature that was announced a couple of months ago. They're the go to market on anthropic is wildly poor. Let let let me just say that, unequivocally.
Jordan Wilson [00:24:13]:
Right. They have some of the most groundbreaking innovation inside large language models, but when they roll it out, they just roll it out to their, like, max subscribers. So no one's talking about it because who's a max subscriber? Like, you know, 10 people on Twitter. So, you know, it's great features. Their five creation feature, amazing. But when they rolled it out, no one had access. So no one talked about it. So then when they, kind of gave access to the masses, it's well, it's old news.
Jordan Wilson [00:24:39]:
Right? No one cared about it then because no one had it. So you can't create a grand opening of a feature twice. But low key, one of my favorite features, we actually did a dedicated show on that a couple of weeks ago. Alright. So that's kind of the high level of what's new. Now let's go over three overlooked feature updates because with this new Opus 4.5, Claude, or sorry, Anthropic also kind of snuck in some unrelated feature updates that maybe should have just been their own announcements but weren't. So, a lot of people miss these. I didn't.
Jordan Wilson [00:25:15]:
I saw these. I was scrolling through their, kind of announcement thread. And I was like, wait. How is this in the middle of a tweet thread? Right? But I guess like any good sandwich, right, sometimes the meat is in the middle. So, number one, the clawed for Chrome extension rolling out to more people. So previously, again, speaking of anthropics, absolutely terrible go to market strategy and just marketing in general. Chrome extension looked really good. Right? So kind of in in a similar way that you can use the Atlas browser from OpenAI.
Jordan Wilson [00:25:48]:
Right? And it can see and understand what's in your browser. There's some elements of that in the new Claude for Chrome extension. But when they rolled it out, they rolled it out to a thousand people. Right? And this was months ago. So now it's open well, it's not open to everyone. It's only available to those on Claude Max in, I believe enterprise plans. But, it is noteworthy, because now at least if you are on that 100 or $200 a month plan for Anthropic, you at least have access to the, clawed for Chrome extension. And with, kind of their visual understanding, their agentic, capabilities inside Opus 4.5 and, also its kind of ability to handle that context.
Jordan Wilson [00:26:35]:
This is a big, big update. Right? So, yeah, if you are on a Max plan, you probably should be trying out. I might have to, be grudgingly upgrade to Macs just to use this and try it for you all. So the Chrome extension also demonstrates improved robustness, against browser prompt injection attacks compared to previous models. And, you know, obviously, it kind of brings, you know, agentic capabilities to Chrome, right, that you would have in other browsers, like as an example to handle tasks across, you know, multiple open tabs inside Chrome. Alright. The next, overlooked feature would be quad code coming to desktop. So quad code is now available within the quad desktop app.
Jordan Wilson [00:27:22]:
So you don't have to run it separately in the terminal. So this is, I think, a boon to nontechnical users. The Claude desktop app is actually really good. I'm surprised more people don't talk about it. I'd say the capabilities leap. Right, if you look at as an example, you know, OpenAI's, you know, chatgpt.com versus, OpenAI's, Chat gpt app. You know, it's fairly, apples to apples. I think when you look at claw.ai, so the claw chatbot and, clawed desktop, the desktop is a leap better.
Jordan Wilson [00:27:58]:
Right? Just because of everything that you can do kind of with MCPs. You know, you can have it read. Right? I'm a I'm a Mac user, so it can read your iMessages. So it can, like, look into different programs. So it has some, really complex and very robust capabilities. So also now Opus 4.5 support, on that as well on desktop. And it does allow, software engineers to run a multiple local and remote remote coding sessions simultaneously. And then last but not least, three underrated, new feature up updates.
Jordan Wilson [00:28:36]:
So now Claude in Excel. So the specialized Claude for Excel product is now generally available where before it was in a beta, and it did roll out now to max team in enterprise users. So, unfortunately, if you're on that $20 a month plan like myself, you're not getting clawed in Excel. But if you do have, Excel Copilot, FYI or sorry, Microsoft three sixty five Copilot. If you're in, Microsoft's Frontier program, you will have a similar version. It's just the Copilot, branded version of this, but it's actually powered, I believe by 4.1 from Claude. So this delivers the Claude in Excel, in tropics version delivers a step change improvement for knowledge workers, creating spreadsheets, documents and slides with more professional polish. So Claude for Excel uses programmatic tool calling to efficiently read and modify spreadsheets with thousands of rows.
Jordan Wilson [00:29:31]:
So this is one of those things, you know, kind of a where where I said originally. It it seems like entropic is really just, trying to, compete vertically. Right? They're not trying to, compete on the app layer. They're not trying to be in everything app, like Google or Microsoft or OpenAI. It seems like they're really just sticking with, you know, software engineer, coding, and, people in finance or working in data. Right? So if you're in, spreadsheets all the time, quad might be a model that you really wanna consider, or if, obviously, you were in software development. Alright. That's it for, kind of what's new and noteworthy.
Jordan Wilson [00:30:11]:
Now let's check back on our cake. Alright. So, we're gonna start with the third one, the use case that I actually couldn't show because, unsurprisingly, Claude could not handle it. Even the new, 4.5. And one thing that Anthropic did specifically promote another kind of new feature was its extended context window. Right? By far on the chat side, again, this is different than when you're looking at the API. A Claude chat was absolutely terrible. Right.
Jordan Wilson [00:30:50]:
So if you're in a a chat and you dump a bunch of information, you know, literally, I've had single prompts bust the, the context, window for Claude. So, my third kind of, example here that I couldn't do live because I also, did the math and I realized that it would push me over my current session limit. So, I'm showing this on my screen here. So my two other prompts that are complete, use up 54% of my current session. And when I did this, third test on its own, it took up more than 50%. So I knew that I couldn't do all three. Anyways, it failed. So it doesn't matter.
Jordan Wilson [00:31:31]:
It failed even when I did it on its own. And this is, another example that I try to do, a month ago when I talking about this new file creation feature. So, I wanted to try, to have Claude or, you know, in this case, obviously, Opus 4.5, do some, some tool calling. Right? Do some, multi step agentic work. So the file creation feature, if you haven't used it, it is absolutely amazing. I think, that and artifacts are two standout features, for inthropix Claude. So in the file creation, it can create PowerPoints. It can create Excel spreadsheets that you can actually download.
Jordan Wilson [00:32:16]:
Right. So, obviously, now Gemini can do that. They just rolled out their, kind of slides version that we went over a couple of weeks ago as well. OpenAI can do that in chat g p t. It's a little clunky though because you have to use agent mode and it takes forever. And most of their, you know, slides or if you're talking about PowerPoints are, very ugly. Claude makes beautiful, beautiful PowerPoints. In this case though, it failed.
Jordan Wilson [00:32:42]:
And then let me kind of show for our livestream audience. I'll kind of say quickly what I was doing. I uploaded an older, PDF that I did, a presentation and older podcast. And I told, Opus four five, this is more than a year old. First, you're gonna have to go research, this you know, I gave it the website. Here's the website that went along with this presentation. You need to analyze the PDF. You need to go find the corresponding transcript or podcast episode.
Jordan Wilson [00:33:09]:
I gave it the, the link, and then I said you need to update this slide, right, or this slide deck. It was about a 25 page slide deck. And, so, hey, it's a year old. Go see what's still relevant. Go research everything that's not relevant anymore. So we'll see here. Claude started off by doing a pretty good job. So good instruction following early, early on.
Jordan Wilson [00:33:30]:
It kinda broke, it broke the task, a complex task. Sure. Into multiple steps. It started to do it. Right? So it started to, read what I uploaded. It was kind of calling on its PowerPoint skill. Claude has this, kind of new skill feature. It went through.
Jordan Wilson [00:33:47]:
It correctly went in, found that URL. It, found other, episodes on the website that talked about agents, which is what I encouraged it to do. So it did a pretty good job, you know, calling other tools and instruction following. However, it just busted. And I did try this, in three separate chats, but, in each case, it just it just died. Right? And I tried, you know, the the standard, please continue. Right? And it did 10 different attempts to continue and it just didn't. So it busted the context, context window one prompt.
Jordan Wilson [00:34:22]:
Right? So, for all of the hoopla of people talking, that, oh, Claude on the front end has extended their context window. Still not that good if you're doing, a complex query. Alright. So that was technically prompt number three. Let's go back to prompts one and two and see how we did. So the first one, remember I said go find the five latest newsletters, on our website, then go find 10 recent AI news stories we didn't cover, and then outline those as if they were podcast episodes. Alright. So we'll see here.
Jordan Wilson [00:34:55]:
It went in. Not sure why it used okay. Interesting. It used my Canva connector even though none of them were connected. K. That's interesting. Oh, no. It just went to canva.com, and found the, news there.
Jordan Wilson [00:35:13]:
Okay. So, it went it did a little bit of research. It looks like it read, hopefully, it read through the last couple of newsletters. I don't actually know if it did. So interestingly enough, it went to our main website at youreverydayai.com. I explicitly told it to go to our subdomain, read.youreverydayai.com, which is not the same thing. So, interestingly enough, I'm looking through, the chain of thought. Always read through the chain of thoughts.
Jordan Wilson [00:35:45]:
Like, if there's one thing you get from AI at work on Wednesdays, read the chain of thought. Right? These agentic or hybrid models that think and reason and plan ahead and show you. Right? Except for Gemini three pro. Alright? Gemini team, please, add, tool calling to the chain of thought so we can see what these models are doing a little bit more transparency versus just a summarized chain of thought. So but I don't see that it actually went to the actual newsletter. So instead, it went to the episode page, and it looked at podcasts, which is wrong. That's not what I wanted it to do. So instead, it's just searching everyday AI, and it did not do it.
Jordan Wilson [00:36:32]:
So, in this case, the instruction following, bad. Alright. So, it said, I now have a good overview of recent everyday AI newsletter topics, which is false. It went to our website, which does not have our newsletter on it. You had to go to the subdomain. So, in terms of instruction following and calling, the right tools to do the right thing, pretty pretty big failure here. And instead, it just looked at topics that we covered on our, on the podcast, which is two completely different things. So, failure here.
Jordan Wilson [00:37:08]:
Let's at least see if it did a decent job, at creating us, kind of podcast segments anyways. So it looks like it ran some JavaScript. Interesting. It said, let me create a comprehensive Word document. But instead, it just created a JavaScript file. Interesting. So, I could obviously go through and convert this, JavaScript file. I'm kind of, scrolling through it.
Jordan Wilson [00:37:39]:
So, yeah, it looks like it probably planned, some of this information out. But, yeah, it said that it was going to, I can see in the thought process that it actually went and did it. But big fat failure here. Big fat failure. Alright. So next one, and this is one I was looking forward to. I'm gonna hit refresh on this. Okay.
Jordan Wilson [00:38:05]:
Let's see. Do we get another do we get another failure? That would be surprising. Let me see. I'm wondering if something is up with my browser. I'm gonna go ahead and publish this artifact. Open it in a, in an incognito window here, and let me see if it actually, rendered. So interesting. Do we get a bunch of failures, from Claude? You know what? I'm gonna give it a second, a second chance here, and I'm gonna say, you know, nothing rendered.
Jordan Wilson [00:38:50]:
Please try again and rebuild this using Claude artifacts. K. So interestingly enough, even though I go through I'm going through. Right? This is where, I gave it my podcast stats. I said, you know, find 10 obvious trends, find 10 hidden trends, and then, find me 10 episode ideas that maybe I should be planning based on these trends that you find, you know, in these thousands of rows of data, in the spreadsheets that I upload. It seemed like it didn't, even render anything, inside Claude artifacts. So I'm giving it a a second try here. So we'll see, we'll see what it does.
Jordan Wilson [00:39:34]:
Right? And I don't want this to go on, for too long because here we are at the forty minute mark. But I will tell you, Claude artifacts is one of my, absolutely favorite features. Right. I I I will say that it's probably recently been, leapfrogged by Google Gemini Canvas. Google Gemini Canvas, especially with the new Gemini three Pro, is is unfair. Right? If you aren't using it. Alright. I'm gonna say this out loud.
Jordan Wilson [00:40:07]:
If you're not using Google Gemini Canvas every day, you're leaving immense value on the table. I'll just say that. It is not just, extremely flexible in what it can accomplish, but it is, visually aesthetically just stunning. Right? Which is yes. I know that there's a matter of taste to that. But the the overall flexibility and utility of Gemini Canvas is amazing. So, you you know, it's obviously something very similar to cloud artifacts where you can run and render code. Right? So you can create interactive dashboards.
Jordan Wilson [00:40:41]:
You can create little, micro apps or full blown like SaaS type apps right inside Google Gemini Canvas. And you can do that inside Google's AI studio using their build, tool as well. So similarly, you know, artifacts was actually kind of first on the scene, in its ability to write code. Right? Not just write code because that's obviously one thing that the cloud models are great at and here we're testing out Opus 4.5, but the ability to render it, kind of using their Claude artifacts engine. So, you know, here for our live stream audience as I'm, you know, drawing this one out. Sorry. You know, it's writing the, code on the left side. And how it's supposed to work is it is supposed to render the code on the right side.
Jordan Wilson [00:41:28]:
So this is supposed to give me, a nice looking, dashboard. I said it should be like SaaS worthy. Right? So it should be so good. It feels like a product that you pay for, but it's personalized to me, to my information. So, you know, I don't have to know how to write code to do any of this. I just have to know here's alright. Here's a bunch of information. Go make me something super useful and use Claude artifacts.
Jordan Wilson [00:41:54]:
Right? Alright. So I'm gonna give it, I'd hate to put it on shot clock because now I've already drawn it out, like, three minutes. I'm wondering I'm gonna go ahead and, maybe see if I can quickly, let me go up, because I did use a very similar prompt, inside the Google Gemini, version of this that I did probably last week. So I'm gonna say let's see. Top 10 obvious trends. I'm gonna see if I can just quickly, pull up the Google version of this. Alright. So doing a little multitasking here.
Jordan Wilson [00:42:30]:
Livestream audience, thank you for bearing with me. Let's see. Let's see if I can find the one. I have so many, paid accounts. It is hard to find them. I must have done it in my personal account because that is where my, my Ultra Google Ultra subscription is. So let's see if I can find that. There we go.
Jordan Wilson [00:42:54]:
Alright. Cool. So let's go ahead while we're waiting because, you know what? What a bummer. What a bummer, Claude. Opus45. Let's scroll down. It looks like it's another failure. Another failure.
Jordan Wilson [00:43:12]:
Oh, no. Still still still writing and rendering. Alright. So we might just have to end on this, showing you the version that Gemini, Gemini, three pro built. So good. I was, like, flabbergasted, last week. Again, running some similar prompts or some, similar use case or in internal benchmarks that we did last week when going over Gemini three pro. This is really good.
Jordan Wilson [00:43:40]:
I mean, our livestream audience, this literally looks like a full blown SaaS application, all just based on my data. So everything that we just asked, Opus four point five to do, Gemini three Pro just absolutely crush it. Beautiful, interactive. It shows the overview. It shows the trends, the top, top 10 obvious, top 10 hidden trends, opportunities. They're all color coded. Nice icons. Right? Really, really good.
Jordan Wilson [00:44:10]:
And then it also included, some of the raw data. Let's see. I didn't even see if the search works. Oh, the search works. The, you know, interactive search. So, it looks like unfortunately alright. Because I'm gonna I'm gonna stop it there. Claude is still going.
Jordan Wilson [00:44:26]:
I think the first version might have took, like, fifteen minutes. I should have checked. Yeah. So you know what? If it finishes, if Claude can redeem itself with this, Opus 4.5 with this artifact, we'll go ahead and put it in our newsletter. Alright. So we're gonna have to wrap it there. Leaving you on a cliffhanger, but not my fault. So, again, live demos of generative AI, usually never a good idea.
Jordan Wilson [00:44:49]:
Right? But, hey, last week when I did the thing with, when I did the same with Gemini three, Gemini three Pro, it was good. Right? Everything worked, you know, today, mainly hiccups with OBS 4.5. So don't take my word for it. Right? This is obviously I'm still gonna be using this model every single day. Sometimes live use cases aren't the best, but, hey, I showed you, sometimes best benchmarks are still gonna have hiccups. So, I hope this episode was helpful. And, hey, on our Wednesday series, I always want you to think about what is your use case. Tell me.
Jordan Wilson [00:45:24]:
Right? Tell me in the comments. I always go through and read the comments on, LinkedIn or on, the podcast. If you're listening on Spotify, thank you. You can leave a comment there. So thanks for tuning in. If you haven't already, please go to our website at youreverydayai.com. Go sign up for that free daily newsletter. Thanks for tuning in.
Jordan Wilson [00:45:41]:
FYI, happy Thanksgiving to everyone. So, tomorrow, for Thanksgiving and Friday, actually, the podcast and the newsletter are taking a little little break. Right? People tell me how tired I look. I'm gonna try to sleep a little bit. So, we will see you Monday for the AI news that matters. So thank you for tuning in, and we'll see you next time on Everyday AI. Thanks, y'all.