11 Easy Ways To Use FABLE 5 So CHEAP It Feels Unfair

Fable costs $50 for a million words of output, around 10 times what the cheaper models charge. And because it thinks before it answers, one throwaway question can cost you more than an hour of real work. That is exactly how people burn a week of credits in a single afternoon. They point Claude's most powerful model at jobs that it was never built for, and then pay premium rates for chatbot. So, in this video, I will hand you 11 specific moves that are going to cut your Fable bill by up to 80%. However, while making the work sharper, not weaker. [music] These 11 moves come with four simple rules. I call them the four Rs. One of them lets you pay for Fable once and basically never again. By the end, you will know exactly which model to use for which task and never overpay again. Half a million people have learned AI on this channel. This is the system that I wish someone handed me on day one. But first, we need to talk about the mistake that almost everyone is making. Okay, so let's kill the belief that is costing you probably the most. A lot of people think that Fable 5 is just a better Opus. It's the same thing, but more horsepower. So, they use it for everything. But that's an expensive lie. >> [music] >> Fable is not a faster Opus. It's a different kind of tool altogether. Opus answers you, but Fable reasons. It works the problem, it checks itself, it explores, it second-guesses, and then it answers. And that's why it's so brilliant at hard, messy, multi-step work. It's also why a two-line question can cost you real money. Because you asked for a coin flip and paid for a two-hour debate. So, let's run the numbers. Haiku is a dollar in, five [music] out. Sonnet, three in, 15 out. Opus, five in, 25 out. But Fable is 10 in 50. The price stickers are lying a little bit, because Fable spends more words per task. [music] So, the effective gap is not two to one. On the wrong task, it is five to one. Actually, one founder in my community watched a single afternoon of just chatting with Fable eat through days of their plan. [music] Of course, nothing broke, but they used the strategist like a search bar. And that word, strategist, is the whole fix. >> [music] >> You want to stop picturing these models as one chatbot with a price tag. You want to think of them as your payroll. Because basically Fable is your senior strategist. It's the highest paid person in the building. Opus is your capable associate. And then Sonnet and Haiku are your fast assistants. >> [music] >> You would never pay your highest paid strategist to format a spreadsheet or answer a one-line email. But that's exactly how a lot of people run their [music] AI. So, the fix was never spend less, it was manage better. You want to have the right person do the right job and not waste. [music] Okay, you're not using a tool. You're running a team and here's how you run it. Like I said, I'm going to give you 11 moves through four rules. Rule number one is root. That means send every task to the right model, not the priciest one. Rule number two is reduce. Cut what the AI reads because it rereads everything every time. Rule number three is ration. Stop it from overthinking and overriding. >> [music] >> And rule number four is reschedule. You want to push heavy non-urgent work to the background. And if you get rule right, you've already saved most of the money. The other rules squeeze out the rest, basically. So, let's start with the one that matters the most. Like I said, rule number one is root. We have three moves that live here and together they're 60 to 80% of your savings. If you do nothing else, please promise me that you will [music] do these. Move number one is the strategist handoff. You want to let Fable do what it's best [music] at, and that's think, plan, structure, make the hard calls, and then hand the doing to a cheaper model. Let me give you a real example. I'm mapping a product launch. I ask Fable for the strategy, the sequence, [music] the angles. That's strategist work. And then I switch to Opus to draft each piece of that plan. So, Fable decides and Opus [music] executes. And I'm going to only go back to Fable for a review or the next hard call. I'm going to get the same output, maybe even sharper, because each model is doing what it's best at, but at a fraction of the cost. Now, move number two is the departing genius. This is the one that most people are sleeping on, and I promise you it's going to pay off. What you do is you use Fable once, not forever, once. And you do that to write down how it thinks about your work. And then you use cheaper models to follow those instructions at near Fable quality forever. [music] I mean, watch how simple the prompt is. You can tell Fable, "You are my departing head of content. Before you go, write me a reusable playbook so a cheaper assistant can turn any video transcript into a LinkedIn post in my exact voice. And tie every rule to a real mistake that it might make." What comes back is a plain language playbook, Fable's judgment written down. You paid the premium one time, and then every single run after goes to Sonnet, for example, $3 instead of 50. >> [music] >> And that playbook is not even locked to Claude. You can paste it into ChatGPT, into your other tools, anywhere. You basically bottled the strategist. Now, the whole team can drink from that. Move number three is the never Fable shortlist. This is literally the work that should never reach Fable in the first place. Quick questions, lookups, >> [music] >> rewrites, formatting, clean up a document type of tasks. And you want to send those straight to Sonnet or Haiku. That one habit is going to plug the little leaks that [music] add up all month long. Now, there's a secret. And it's the cost lever that almost nobody thinks about. Instructions. Every time you re-explain your context, who you are, your brand, your format, the correction that you already probably given at least three to four times, you pay for those words all over again. Repetition is the hidden bill. But well-written instructions that you said once mean that you never pay to say it twice. That's what the departing genius really is, right? Bottling the explanation so you stop repeating it. A cheap model that already knows your rules is going to beat an expensive one that you re-teach from scratch every session. That's actually why we built the Claude Academy inside our AI founders. A step-by-step guide to turn Claude into your entire operating system. We have 10 modules from first setup all the way to automation. The founders who write their instructions once are going to stop bleeding credits on repetition and are going to start actually running whole businesses through one system. Like I said, it's inside the AI founders community on School. The link is here as well as in the description. Now, rule number two because cutting repetition is the whole point of what's next, right? [music] Rule two is about reducing. And here's something that a lot of people miss. >> [music] >> Every time you send a message, the AI rereads your entire conversation and then bills you for it. And a long sprawling chat does not just get slower. It gets more expensive with every message that you send. So, I want to share with you five moves here. Move number four is the 20% reset. That's the discipline to have one task in one [music] chat. The moment you finish something or you switch topics, do not keep typing into the same thread. Open a fresh one, okay? A single mega chat that has handled your emails, your launch plan, and your grocery list is reading all of it on every reply and it's billing you for the whole pile. You You want to do a fresh start, okay? Because it shouldn't necessarily mean start from zero. That's what projects are for. So, build a project once, drop in your brand guide, your goals, your standing instructions, whatever the project scope is. [music] And now every new chat inside it already knows your context without you repasting a word. [music] And you get the lean thread and the smart assistant at the same time. Now, the tell for when to reset, well, when answers start drifting and repeating or slowing down and the window's starting to get bloated, >> [music] >> you need to start a fresh chat, and the sharpness is going to come right back, and your cost is going to stay low. Move number five is the compact the chat. This one is for when you want to keep going in the same thread, but the history's gotten heavy. You want to type {slash} compact right in the chat, okay? And it is going to squeeze everything down to the decisions and the current [music] state, and it's going to drop the dead weight that the AI was rereading every single time. Now, if you wanted to keep one part of the work front and center and then compress everything else, you can basically tell it what you want to hold on to. You can [music] do {slash} compact focus on the lunch plan, and then it compresses everything else around that. You want to do it at natural break points, however. For example, right after you finish a chunk of work or just before you pivot to the next one. Now, the same thread is going to have the same momentum at a fraction of the cost. Now, move number six, that is the handoff doc. Before you stop for the day, you want to tell Claude write a one-page summary of what we decided, where things stand, and the next [music] steps. Save that page into your project. Tomorrow, you're going to start from one clean document instead of scrolling through giant thread, and the AI is going to pick up exactly where you left off for the price of a page instead of a novel. Here's a bonus [music] for you. That same document can become your paper trail, and it's how you hand a project from one model to another or from you to a teammate maybe without having to re-explain anything. Move number seven. That is the delegated read. [music] When something needs a mountain of reading, I don't know, 15 PDFs, a long report, you're going to send a helper to read the pile and bring back only the three things that matter. The mountain never touches your main chat. >> [music] >> So, here's a quick story. When we onboarded a client at the agency, their whole team was nursing one endless thread. >> [music] >> So, what we did was we split it into fresh sessions with a handoff document between each. Their usage [music] dropped by more than half in a week and the answers actually got sharper. It's not because the chat itself or the model became smarter. It's just because they stopped making the AI reread a novel every single time someone said, "Thanks." Now, move number eight is about reusing, not repasting. Okay, so this is the flip side of that project that you just built. You want to stop repasting the same brand guide or avatar or offer document into every new chat. What you want to do is point to the reference instead of dropping a fresh copy each time. >> [music] >> So, build yourself a small reference shelf with your voice guide, your customer avatar, your product details, your best performing posts, for example, and then park them in the project or in a knowledge base just once. And then from there, you just say, "Use my brand guide." when you need [music] it. Reused context costs a fraction of context that the AI has seen for the first time. So, set it once and then reference it forever. Let's move now to rule number three and that is ration. The expensive half of the bill, the $50 side, is what the model generates, including its own thinking. So, here I have two moves to help you keep it tight. Move nine. And that is right-size the model. You You to match the model's power to the task's difficulty. So, here's a gut check. If the task has one clear right answer, and you could describe it in a sentence, that's a small model's job. Maybe it's Sonnet or Haiku. If it does need judgment, juggle several moving parts, or you'd only trust your smartest hire with, you can size up to Opus. A summary, a rewrite, a data cleanup, it's small. A messy analysis, positioning call, it's a hard decision, that's big. So, let the difficulty choose the model. If you need strategy and big complex work, that's only when you bring in Fable. Like I said, you want to let the difficulty pick the model, not the habit of grabbing the most powerful one. Move number 10 is ask lean. So, what you want to do is set the shape of the answer before it starts. You can say, "Give me five bullets, not an essay." "Draft only, skip the explanation." "Just the final version, no recap of what I asked." A long-winded answer costs more because you pay for every word that it generates, including this throat clearing, basically. So, name the format and the length up front, and tell it to skip the preamble. Move number 11 is to set it and sleep. Okay, not everything needs an answer this second. I don't know, repurposing 20 videos, a weekly research digest, cleaning a big list, you don't feed it live, one prompt at a time. Set it up as a scheduled task or hand it to an agent Co-work and let it run in the background while you do anything else. You can stop paying the real-time premium for work that was never urgent. And that's all 11. And if you ever freeze on which model to pick, I'm going to give you one question to settle it. Okay, is this a thinking job or a doing job? If it's thinking, strategy, planning, judgment, that's Fable. If it's doing, drafting, filling in, executing, that's Opus. It's a quick and small, Sonnet or haiku. You want to screenshot that because it's the whole system in one single view. So now, why does this actually make a difference to your business, not just your credit meter? >> [music] >> Well, if you sell anything that is AI-powered, whether it's automations or done-for-you services, you have an agency, or you just create content, your model bill is your cost of goods. Every dollar that you waste running a strategist as a search bar is going to come straight out of your margin. But founders who master the four Rs aren't just spending less. If you do it, you will be able to take on more clients at the same cost, price sharper, and then keep more of every deal >> [music] >> because your delivery is going to run on sonnet with a fable written playbook, not on fable brute-forcing everything. >> [music] >> The departing genius move alone can turn a service that you deliver by hand into one that mostly runs itself. >> [music] >> That is the difference between selling your time and owning a system that sells for you. Of course, results depend on your niche, your implementation, the work that you put in. This is a system, it's not a slot machine, so take it with a grain of salt. Now, back to where we started. [music] Fable 5 is not the trap, using it like a chatbot is. So, here is what I want you to take away from this video. The moment you stop asking which AI is best and start thinking about which one does the job you want to get done, you've stopped being a user and you started being a manager of a team. And that is the skill that is going to help you grow and scale and compound. Models are going to change, prices are going [music] to change. Knowing how to route the right work to the right intelligence at the right cost, that only gets more valuable every year. Now, if you do one thing from this video, please run the strategist hand-off on your next project. Have fable plan and the cheaper model do, and then come and tell me in the comments how far your credit meter dropped. Give me the before and after promise, and I'm [music] going to pin the best ones. And if you want the play books, everything that I talked about in this video [music] and all the tips and tricks about using Claude as your operating system, we are waiting for you in the AI Founders community. We have a new Claude Academy where we teach all of [music] this and more in 10 modules and we're going to take you from the setup to the automation and walk you through everything step by step. [music] Now, one last thing. Rooting is the easy R. The hard one is knowing what work to hand an AI in the first place. >> [music] >> What to automate, what you should never let it touch, and that is um more dangerous mistake. I've talked about it before, so make sure you go ahead and watch this video next. >> [music] >> Thank you so so much for watching. Like this video if you did. Be sure to share it with anyone in your circle of friends or family or coworkers who you think needs to know more about not falling in the trap of Fable 5's costs. Subscribe if you haven't done so, and until next time, I'm going to see you in this video here. Have a good day. Bye.