Anthropic releases method to 10× Claude Code / Opus 4.5

How can you get more out of Claude Code and Claude Opus 4.5? Well, I've got good news from you. Anthropic has actually over the last 12 months have been

posting in their in their docs, blog posts, kind of teasing on X about how you can prompt these products to really get the most out of it. But the thing

is, people haven't put it in a full guide. So, I did the hard work to make

guide. So, I did the hard work to make it easy on everyone. By the end of this episode, you will learn 10 techniques for how to prompt Claude to get the most out of it. Super simple techniques

anyone can learn. I'm going to show you real examples, easy to understand, and frameworks to help you crush it with Claude code and Opus 4.5. Let's get

right into it.

So, the first tip is I know this is going to this is going to upset a few people, but the tone of collaboration is really important. You're going to want a

really important. You're going to want a friendly and clear and firm tone because that yields better results and more direct results. So, what's an example? A

direct results. So, what's an example? A

vague request might be something like fix this grammar in this now. You know,

but the problem with that is, you know, o it leads to overly cautious pre-anned or basically just less helpful responses as the model tries to deescalate.

Politeness can sometimes result in chatty, less direct answers. Now, if you do, you know, an architected brief, and this is what the folks at Anthropic

suggest you do, do something like, "Please review the following text for grammatical errors and suggest corrections. My goal is to make it sound

corrections. My goal is to make it sound more professional and confident. This is

direct, this is respectful, and it provides context, which is what anthropic needs in order to get you the result, you know, that you want. So,

really important. I know some of us are just kind of mean to our LLMs. I've been there, you know, but treat it like a teammate, right? You would never want to

teammate, right? You would never want to be mean to a teammate, uh, especially if you want to get them to produce. So uh

rule rule one of 10 uh is the tone of collaboration. Rule two of 10 is the

collaboration. Rule two of 10 is the principle of explicit explicit explicitness.

So state your request as a clear actionoriented command with all the necessary details. So and I used to do

necessary details. So and I used to do this actually. I would I would do like a

this actually. I would I would do like a vague request like I need a bunch of blog post ideas. But the problem is it's passive. It's not specific. And then you

passive. It's not specific. And then you just get this generic AI slop.

Architected brief. What's the

difference? Okay. Generate 10 blog post titles about the impact of remote work on urban planning. The title should be engaging for an audience of city

officials and real estate developers.

This prompt uses an action verb.

Generate. You're going to you're going to want to, you know, use action verbs a lot. It specifies the quantity 10 and

lot. It specifies the quantity 10 and target audience. Those are the three

target audience. Those are the three things that you're going to need. gener

action verb uh the quantity and a target audience. Every highlighted phrase adds

audience. Every highlighted phrase adds a layer of useful constraint. This works

extremely well. Three on 10. A well the rule here is a well-defined box produces a more creative result than an empty field. So a vague request would be

field. So a vague request would be something like write a short story about a detective in in the future. Problem is

the possibilities are infinite and that leads to cliche AI slop unfocused output. Architected brief. What's the

output. Architected brief. What's the

difference? Write a short story no more than 500 words in the style of Raymond Chandler. You can even do like in the

Chandler. You can even do like in the style of Ernest Hemingway meets Raymond Chandler. Or you can even put three or

Chandler. Or you can even put three or four or five different people. The story

must feature a robot detective investigating a data theft on Mars. Do

not use the word cyber. So, you've added constraints on length, constraints on style, constraints on character, constraints on settings, and even

specific words to force the AI AI into more creative and specific solution. I

know this takes more time. I know that you know it's kind of measure twice and cut once, but you will get more if you define the B boundaries.

Number four, the rule is draft, plan, then act. Use the AI to generate an

then act. Use the AI to generate an outline or roughed version first. So,

don't try to get a perfect fi final product in one go. I know we all want to one prompt it and just it feels so good to one prompt it. I've been there. But,

uh, you know, the reality is working with the AI to create and then refine a plan or outline is a way more reliable path to a high quality result, and

that's what we're out for. This lets you course correct early. So, think of it like this. The initial prompt might be,

like this. The initial prompt might be, I need to write a report on the benefits of a 4day work week. Ask for a plan.

Step one, first propose an outline for this report. Then refine the plan. Step

this report. Then refine the plan. Step

two, that's a good start. In section

two, please add a subpoint about employee retention. Step three, uh you

employee retention. Step three, uh you can do you step three is the execution layer. Excellent. Now, write the full

layer. Excellent. Now, write the full report based on this revised outline. So

you you know it takes longer, but the the al it takes longer. It feels like it takes longer, but it's actually going to save you time because you're going to get a better outcome and you're not going to have to reprompt and reprompt

and reprompt. If you have a business

and reprompt. If you have a business that's doing at least $50,000 a month in revenue, I've got something interesting for you. It's called offline mode. It's

for you. It's called offline mode. It's

a 2-day event that me and my team are putting on at a 20,000 plus foot square foot mansion. Yes, this is what it looks

foot mansion. Yes, this is what it looks like on January 23rd and January 24th in Fort Lauderdale, Florida. I'll include a link in the description if you're interested in coming. But it's basically

for people who have a business that's kind of cranking, but they really want to put it in rocket ship mode. They want

to create a set of businesses that generate tons of money, tons of cash flow, tons of product market fit, tons of impact. Um, but they're not just

of impact. Um, but they're not just quite there yet. It's also about, you know, making your business AI first. How

you can actually, you know, build not just one product, but multiple products.

And you're going to leave with, you know, tactical, uh, answers to your questions. So, um, if that's you and

questions. So, um, if that's you and this sounds interesting, uh, I'll see you there. Rule rule number five, uh, is

you there. Rule rule number five, uh, is demand structured output. The AI is fluent in many formats beyond pros. So,

you know, a vague request might be something like, "List Apollo missions and some facts about them." So, you're going to it's it's it's it's basically going to give you a simple unstructured

paragraph. And that's going to be hard

paragraph. And that's going to be hard to parse. Now, an architected brief

to parse. Now, an architected brief might be something like, "Provide the list of the last three Apollo missions, 15, 16, and 17. For each mission, include the launch date, the crew

members, and a key specific achievement.

Present this information in a markdown formatted table." So what you might have

formatted table." So what you might have to do is go to something like perplexity and do uh you know a prompt there to understand a little more about what you

want an architected brief to look like.

Um but you're going to end up getting you know a way better output here. Like

you can just see this markdown file if you're on YouTube. Um also like and comment if you're liking this sort of stuff. I'll do more of it. um requesting

stuff. I'll do more of it. um requesting

a you know so look at this markdown you know it's just way way better than what you'd get if you if you did uh did did something else and just went like a

simple vague sort of thing. So might

take you more time a little bit initially but again you're going to get better output six explaining the why. So

the golden rule here is the explaining the why behind an instruction helps the AI understand your true intent. So

instead of saying give me five marketing slogans for a brand new coffee where the AI basically has no context. It doesn't

know the brand values. It doesn't know your audience, your community who you're going after, it doesn't know your unique selling proposition, do something like this. Give me five marketing slogans for

this. Give me five marketing slogans for a new brand of coffee. The key is that our beans are ethically sourced from small independent farms and our target audience really important you put this

in here is environmentally conscious millennials. By the way,

millennials. By the way, it's not just that you put our target audience is millennials. You have to you have to define it even even more. Go

niche and then go more even nicher.

You'll get better results. The slogan

should reflect quality and sustainability. So by providing the why

sustainability. So by providing the why basically ethically sourced for conscious millennials the AI can generate far more relevant and targeted slogans then you get a better getting

better results. Seven on 10

better results. Seven on 10 the art of brevity and verbosity.

So the rule here is explicitly command the AI to be more or less verbose to match your needs. So you're in control of the output length. Use simple direct

phrases to guide the AI. So let's just show some some different examples. So

maybe you want the expert here. Explain

photosynthesis in detail for a college biology student. Think step by step to

biology student. Think step by step to ensure accuracy. Boom. Look at look at

ensure accuracy. Boom. Look at look at how uh how expert this looks like. I

mean it's throw it's throwing me back to you know my chemist my biology and chemistry days just seeing stuff like this when I was in school.

Um, maybe you want something that's brief. Explain photosynthesis. Be

brief. Explain photosynthesis. Be

concise and use bullet points. Sometimes

here I'll say like explain like I'm five. Explain like I'm 13. Explain like

five. Explain like I'm 13. Explain like

I'm 17. Um, and then you can see the bullet points. And then here, oh here

bullet points. And then here, oh here the simplifier. Explain photosense like

the simplifier. Explain photosense like like I'm 5 years old. So these are three options. The expert, the brief, the

options. The expert, the brief, the simplifier. The point here is that you

simplifier. The point here is that you are in control of your output length and it is important that you include that in the prompt. Eight on 10 providing a

the prompt. Eight on 10 providing a scaffold. The rule here is you want to

scaffold. The rule here is you want to give the AI you want to give Claude a template or example to guide its structure and style. So

let's the vague request would be something like summarize this article.

But you know this is way better. Look at

this in the architected brief section.

Summarize the following article using this format. Main thesis, one sentence.

this format. Main thesis, one sentence.

AI fills this in. Key supporting points, three bullet points. The AI fills this in. And concluding insight, AI fills

in. And concluding insight, AI fills this in. And then paste the text here.

this in. And then paste the text here.

So now you have this rigid structure ensuring the summary is not only accurate but is also formatted exactly as needed. Um, so you know, really

as needed. Um, so you know, really really we want the best results. We want the best final results and just by by saying

this the structure and style it helps.

It's a little bit of scaffolding goes a long way.

Nine on 10 uh speaking the language. So

using advanced prompting terms can trigger more sophisticated modes of operation. So models

operation. So models um are trained on a vast amount of text about AI itself. So using terms from the field activate specific powerful behaviors. This is like cheat codes. So,

behaviors. This is like cheat codes. So,

let's talk about a few power phrases that Anthropic uh has literally told us to use that most of us are not even using. Think step by step. So, what's

using. Think step by step. So, what's

the use case? Force the model to lay out the reasoning process often leading to more accurate results on complex problem. So, you're going to want to

problem. So, you're going to want to remember that one. Critique your own response use case. Ask the model to perform self-correction. Find flaws.

perform self-correction. Find flaws.

it's in in its initial draft and improve it. Uh adopt the persona of an expert in

it. Uh adopt the persona of an expert in field use case primes the model to response with a deeper more domainspecific vocabulary and framework.

These are magic words. You might want to screenshot this. Um this will help you

screenshot this. Um this will help you get the most out of it. And finally we have uh the divide number 10. The divide

and conquer strategy. So the rule here is for a complex task act as the con conductor. Prompt for each part

conductor. Prompt for each part separately then prompt for the synthesis. So don't ask for a 10-page

synthesis. So don't ask for a 10-page report in a single prompt. Break it down into logical subtasks that you manage step by step. So if you listen to this

startup Ideas podcast, you know I love ideas. You know I have a business

ideas. You know I have a business ideabous.com that gives away ideas. Um

and uh you know so you know I like building businesses and you can see that it it's easy to you know throw in hey build a business plan as the one prompt

but this is a way better to do it. Step

one the blueprint create a detailed t table of contents for a business plan for a new specialty coffee shop. Step

two section by section write the executive summary based on our plan. Now

write the market analysis section and then the A dotted line indicates more steps. And step three, the synthesis.

steps. And step three, the synthesis.

Review the complete business plan.

Ensure consistent tone and check for any contradictions. So this is the project

contradictions. So this is the project workflow. You know, doing it section by

workflow. You know, doing it section by section, synthesizing, having the blueprint, you know, you're dividing and conquering. You're you're breaking out

conquering. You're you're breaking out to logical subtask. What might even be helpful here is like literally taking out a pen of paper and and being like, "Okay, if I want a business plan, what are the 10 things I need?" If I want to

create a deck, a fundraising deck, what are the 10 things I need? If I want to create a product that's, you know, software product, what are the 10 different, you know, features I need?

This is going to be helpful for you to get the most out of it. So, there you have it. Uh, I've given you the 10 rules

have it. Uh, I've given you the 10 rules of how you can get how you can prompt the prompt claude to get literally 10x more of it. This is the simple tools and

techniques that you can use that have literally been shared by the people from Anthropic themselves. We talked about

Anthropic themselves. We talked about the tone of collaboration. We talked

about uh which is using friendly, clear and firm tone. We talked about the principle of explicitness. We talked

about the defining the boundaries. We

talked about the exploratory draft. We

talked about specifying the details. We

talked about explaining the why. We

talked about how important brevity is, why you can put a should put a little scrap scaffolding, how how important it is to speak the language. And we talked about the divide and conquer strategy.

So what does that look like when you put it all together? This is, you know, when you came into this episode, you might have prompted or maybe not, but you

might have prompted Claude saying something like, "Tell me about stoicism." By the way, I call it Clode,

stoicism." By the way, I call it Clode, but for you, I'll I'll call Claude cuz people get mangry and mad at the an uh in the comment section about that.

Let's talk about now now that you know the tools of how to prompt Claude better, let's let's let's see it at work. Instead of saying, "Tell me about

work. Instead of saying, "Tell me about stoicism," you're going to say, "Act as a university professor of philosophy."

Why? Because you've included the persona in there. You're going to say, "I'm

in there. You're going to say, "I'm preparing a 1-hour intro lecture for students with no prior knowledge."

That's going to explain the why. You're

going to say, first create a lecture outline with three main sections, the divide and conquer. The outline should have a clear introduction and body.

You've now constrained the scope and conclusion. Please format this as a

conclusion. Please format this as a nested bulleted list rich output. For

each major point, include a key stoic figure, example senica uh explicitness um, and one of their core ideas. Your

tone should be accessible and engaging tone. So, you've included that all in

tone. So, you've included that all in there. And then the output is just way

there. And then the output is just way better. So, these are little things to

better. So, these are little things to help you get the most out of uh, these LLMs. And like why it matters is because we're all trying to get the most out of it. Uh we're all trying to create

it. Uh we're all trying to create products that people love. We're all

trying to create content that people love. We're all trying to do things that

love. We're all trying to do things that people love. And a lot of the times we

people love. And a lot of the times we get AI slop. And this is going to help you not get AI slop. And it's and that's why I put the time to scour the internet

for you so you can get the most out of this pro uh product. So so powerful. I

have no affiliation with Anthropic. Um,

but I want I want to see you not just like, comment, and subscribe on this, but actually go and build something great with this stuff. So, um, I'm

rooting for you. Have a creative day and I'll see you next