Fable 5 Is BACK, So Learn These 5 Insane Business Use Cases To Get Ahead

So Claude Fable 5 and Mythos 5 are out, and this is big for revenue. So let's not just talk about the cool announcement and everything in there. We're going to talk about how you can apply this to generating more revenue, aka making more money. So let's jump into it. You can see that they are launching a Mythos class model that we've made for general use. And you can see, obviously, they are doing well across the board with all these, these tests over here for agent decoding, knowledge work, knowledge work, vision, spatial reasoning, all the cool stuff, right? Obviously, they're going to score themselves the best. And you look at this accuracy versus cost, a lot of people are going crazy about it. I've talked to engineers using it, I've talked to CEOs using it today, and it does a lot better job. And so, and it is more like 17% more expensive from a task standpoint, but I think double the price if you're just using the model itself. And so I'd encourage you to check it out and you can see what it has, all these safeguards and things like that. But again, I'm more interested in talking about how you can use it for revenue purposes. Okay. So the first use case here is thinking about autonomous revenue ops engine, right? So Mythos is very good, or Fable 5 is actually very good at charting things out or looking for the right data. In some cases where, you know, Opus might have given up on something, it'll go and find the right dataset. I think the CEO of Zapier was talking about this. Basically, it couldn't find it in the CRM and it looked for the spreadsheet on it. It actually found the right data and then it also avoided the wrong dataset too, right? And so what you can have happen here is that Fable can act like a, like a full-time revenue operations manager that never needs sleep, right? And basically because it can stay focused across millions of tokens and use its own notes to improve outputs, it doesn't lose track of complex deal context, right? Because your CRM is very dirty, can be very dirty from a hygiene standpoint. Right. And then specific actions that Fable can do here is you can have it monitoring your HubSpot or your Salesforce pipelines 24/7 using long context memory. You could identify where the decision maker contact hasn't been engaged in 14+ days. You can draft personalized outreach emails based on the prospect's website, LinkedIn profile, and recent announcements using its vision capability to analyze screenshots of competitor sites that they reference. Imagine if you can do that, and then you can, you can, you know, just pre-do the work that whatever work that you do, maybe it's creative work, maybe it's content work, you can maybe generate that work ahead of time as you reach out to these people. And it also updates CRM entries, right? So basically, this is like, we're talking about like an end-to-end solution here, where if you think about revenue impact, it reduces sales cycles by 30 to 50%, maybe even more. In a typical, let's say you're doing $15,000 or like $25,000 B2B SaaS deals, you can recover easily, you know, we're talking $180,000 plus just on one deal, right? I would encourage you. Number 2, what we'll do, like, like a visual intelligence competitor, I don't Analyzer, right? So Fable has the ability to rebuild web apps from screenshots alone, and that means that you can analyze any prospect's digital presence without API access just by sending them a screenshot. And then you can combine it with financial reasoning as well, and you can make it a competitive intelligence machine, right? And so like one practical application here would just be, here's what you're doing wrong, right? Which that email typically— or here's what competitors are doing. So you can send a side-by-side analysis of their website versus your recommended AI strategy with exact copy changes that would improve conversion by 20 to 40%. You can do how they're doing versus how their competitor's doing, how their competitor's doing in terms of traffic overall. You can do that analysis, right? And I would also say that Mythos, like the full version, is big on just enterprise security and compliance, right? And so if it has the strongest cybersecurity capabilities of any model in the world right now, then this is a new revenue vertical, right? So maybe for your business. And so think about this. You can basically, you can do enterprise security audits powered by Claude at a good scale right now. And you're like, if you're watching this right now, You're already ahead of the game. And don't think that, oh, because everyone has access to this, they're going to be doing this. Practical application would be automated security scanning, right? You can have compliance reporting, so you can auto-generate maybe SOC 2, GDPR compliance, HIPAA, all that stuff, right? This is high service, right? So you can say, hey, you actually don't have this right now. Here's what you should be doing, right? If you're an affiliate marketer, you can think about doing that, right? If we're talking about automated security scanning, you can run Mythos against client infrastructure, code bases, or third-party integrations to identify vulnerabilities and charge a premium pricing based on risk detection, right? So now that you have this ability, if you're running a services business, this could be something that you add on to build more trust and then hold people on longer, right? It typically— if you're thinking about security consulting, that typically we're talking about $10,000, $50,000, $100,000 per audit. This allows you to maybe get your foot in the door, as an example, right? By the way, if you want to grow faster, you need to have a single brain unified intelligence sitting inside of your chat. So it could be inside of Slack or Teams. But you can see right here, this bot's working and it's creating ad creatives. It is doing data pulls from Meta, from Google. You can pull your SEO data. So imagine having all these data connectors. You can ask whatever question you want, get the data pulls a lot faster. Your team can see it as well. They can choose to execute, and then you can run your other specialist agents that you have inside. So we have ad creative agents, we have email infrastructure agents. There's all these agents that can do a bunch of things. And the whole idea is they're all playing together. They're playing with your team as well. That way you're going to be able to just move a lot faster and then grow a lot faster. So check it out. Just go to singlebrain.com. singlebrain.com. Another use case here is autonomous research to strategy pipeline. So think about Fable's financial reasoning powers and long context memory that allows you to ingest and analyze massive datasets. So market reports, competitor filings, financial statements, and then autonomously then produce strategy recommendations based on real data. So not just AI insights, right? So basically you can go a lot deeper. I know we can do a lot of this research before, but you can go way more deeper. You know, you can scan SEC filings, competitor earnings calls, and market reports and, you know, create a customized growth strategy based on what they're talking about, right? And if you send that that, that report, based on what I just mentioned earlier as well, uh, that's gonna be like, oh man, these guys really did their research. And even if they know that you've generated through AI, that you put in the effort to build that out, it will separate you from other people, right? Or even think about like, when you think about raising capital as well, you could run your deck through Fable, which will analyze against successful investor presentations. Or you can have competitive intelligence monitoring, just make it continuous, you know, watching competitor filings, news, job postings, and alert you when signals indicate market opportunity or threat. So even if you're not public right now, you can— maybe you've raised a bunch of money and you're looking at— you have public market competitors, you can take a look at them, right? And maybe it'll give you ideas from the filings that they have and then go from there. Another use case would be like automated implementation accelerator, right? So if you think about Stripe, it's a payments company. They compress months of engineering work into days using Fable's software engineering capabilities, right? So this means using— if you're like an AI implementation agency, you can deliver work in hours and not weeks. And so if you think about custom chatbot or agent development, Fable can do do this work autonomously. So, you know, instead of you manually having to code RAG, which is retrieval augmented generation systems that take you maybe 5 to 7 days per client, you can do it autonomously, right? So you spend time on maybe the strategy deployment, and then this can cut your delivery cost by 80%. Or website app rebuilding from wireframes, right? And you could say you could do this before with other things, but you just have more firepower here with Fable. And then, or if we're talking about API integration automation, so if you're connecting HubSpot, Salesforce, Slack, if you use Fable's reasoning And autonomous execution, you can create end-to-end automated workflows without manual coding for integration. So instead of you having to buy a bunch of things, you could just do this using that, right? So ultimately, you're just able to scale a lot faster with better margins. So those are just a couple examples of you being able to use Mythos 5 or Fable 5 from Claude. And you should always explore these when these new things come out. It's worth spending a day on these, I believe, and you're going to be ahead of the competition. And again, I would take this video, take the transcript from this video, and then figure out, hey, maybe break into one of your autonomous agents and just take the transcript and be like, how does this apply to what I'm working on right now? And that's going to help you grow faster. So that being said, hope you enjoyed this video and we'll catch you in the next one.