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The ABSOLUTE BEST AI Prompt Techniques in 2025

By Anik Singal

Summary

## Key takeaways - **Basic prompts yield mediocre AI results**: A staggering 89% of users employ fewer than 12 words in their AI prompts, leading to poor outputs. In contrast, companies using advanced prompting techniques report a 400% improvement in results from the same AI tools. [00:42], [00:59] - **CRISP-E framework for pro-level AI output**: The CRISP-E framework (Context, Role, Instruction, Specification, Performance, Example) transforms basic AI requests into professional-grade output, drastically improving results compared to generic prompts. [01:35], [02:25] - **Context Multiplier boosts AI accuracy**: The Context Multiplier System, utilizing five layers of context including business details and target market, allows AI to provide surgically specific responses tailored to your situation, unlike generic advice. [02:32], [03:26] - **Chain-of-Thought prompts unlock strategic AI reasoning**: Instead of simple answers, advanced prompts can force AI to reveal its entire reasoning process, assumptions, risks, and confidence levels, providing McKenzie-level strategic analysis. [03:44], [04:43] - **Failure-First Method for psychologically informed AI**: By first asking AI for what not to do and why it fails, you gain a deeper understanding of marketing psychology, leading to more effective and psychologically sound solutions. [05:07], [06:08] - **Expert Panel Method for diverse AI perspectives**: Simulate a boardroom of experts by prompting AI to analyze a situation from multiple viewpoints (e.g., CFO, growth hacker, customer success manager) to catch blind spots and make better decisions. [06:48], [08:03]

Topics Covered

  • AI prompting gap creates a competitive moat.
  • Force AI to show its work for strategic insights.
  • AI needs multiple expert perspectives for decisions.
  • Constraints boost AI creativity, not limit it.
  • Iterate twice for professional AI results.

Full Transcript

If you're still typing, "Help me write

content into chat GPT and getting

mediocre results," this 15-minute video

will completely transform how you

interact with AI. In these 15 minutes,

you'll learn 10 of the best prompt

formulas and techniques, how AI experts

are getting 10 times better results, and

the critical mistakes that 95% of people

make that kill their prompts before they

even start. This works across every AI

tool. Chat, GPT, Claude, Gemini,

Perplexity, you name it. Hey there, this

is Anique's AI clone. While the real

Anique is out there running multiple

businesses, scaling companies, and

working with clients, I'm here to share

his best prompting techniques. Listen,

here's a stat that'll blow your mind.

Recent research shows that 89% of people

use fewer than 12 words in their AI

prompts. That's insane. No wonder

they're getting garbage outputs. But

here's what's even crazier. Companies

using advanced prompting techniques are

reporting 400% better results from the

same AI tools. Same chat GPT, same

claude, completely different results.

The gap between basic users and advanced

users isn't just growing, it's becoming

a competitive mode. Look, by the end of

this video, you'll have 10 specific

formulas that will make you look like an

AI prompting king while your colleagues

are still struggling with basic prompts.

You'll go from getting generic, useless

responses to creating content that looks

like it came from a $200 an hour

specialist. And at formula number seven,

I'll show you the psychological hack

that makes AI 10 times more creative.

Okay, let's dive in. First up, the Crisp

E framework. Forget everything you

learned about basic prompting. This is

the framework that companies are paying

consultants a lot of money to learn. Let

me show you exactly how powerful this

is. Here is what most people do when

they need a landing page copy. So,

generic request, generic result. Now,

watch what happens when we use the

Krispy framework. Context, role,

instruction specification performance

example. I'm giving it business context,

assigning it the role of an expert

copywriter, specific instructions about

what I need, exact specifications for

format and length, performance standards

to hit, and examples to follow. Look at

this transformation. The first one is

generic website copy. The Crisp E

version. This looks like it came from a

conversion specialist. Same AI,

completely different results. Crisp E

turns any basic request into

professionalgrade output. All right,

let's move on to technique two, the

context multiplier system. This

technique literally didn't exist until

2024. And it's the reason some people

are getting 10 times better results from

the exact same AI. It's all about the

five layers of context that most people

have no idea exists. Let me show you the

difference between using one layer

versus five layers. Here is a basic

marketing strategy request that everyone

makes. Generic business advice. Right

now, watch what happens when I add four

more context layers. I've preloaded this

project with business details, set my

preferences for how I want responses

formatted, and I'm using system triggers

to unlock deeper thinking. Same exact

question, but now it knows my specific

business, my target market, my

competitors, my budget. It's like

consulting with someone who's already

fully briefed on my situation versus

talking to a stranger. This isn't just

longer. It's surgically specific to my

actual business situation. Look at these

specific competitor mentions, budget

conscious tactics, target audience

insights. Context beats complexity every

single time. By the way, wait until you

see formula number six. It lets you

steal the exact structure of any viral

content. All right, let's move to

technique number three, chain of thought

prompting, and this one is amazing.

Look, the old think stepby-step prompt

was kindergarten level. Everyone's using

that basic stuff. This is graduate

school making AI show you its complete

reasoning process like a real consultant

would. Here's the advanced formula and I

want you to write this down. Before

giving me your answer, walk me through

your assumptions, your complete

reasoning process, potential risks, and

what would change your recommendation.

Then give me your final answer with

confidence level. Instead of asking,

should I hire a marketing manager? which

gets you a basic yes or no answer. You

ask for the full strategic analysis. You

get McKenzie level thinking. All right.

They consider your cash flow, your

growth stage, alternative options, risk

factors, and they give you a confidence

rated recommendation with clear

reasoning behind every point. Here's why

this is so powerful. Most people get

surface level answers because they ask

surface level questions. But when you

force AI to show its work, to walk

through its thinking process step by

step, you get insights you never would

have thought of. You get strategic

analysis instead of surface level yes no

answers. And that's the difference

between amateur and professional use of

AI. Now, technique number four, the

failure first method. And this is

completely backwards from what everyone

teaches, but it works like magic.

Instead of asking for what you want, ask

for what you don't want first. I know it

sounds weird, but stick with me here.

Let me show you how this works with

email subject lines. Instead of asking,

"Give me good email subject lines," I'm

going to type this. Give me three

terrible ways to write an email subject

line for a productivity software launch.

Give me reasons why they don't work and

the psychology behind it. I'm asking it

to show me bad examples first and

explain the psychology of why they fail.

This forces the AI to understand the

failure modes before giving solutions.

Look at this. It's not just giving me

subject lines. It's teaching me the

marketing psychology behind what works

and what doesn't. Generic subjects

create no urgency. Vague promises

trigger skepticism. This is marketing

psychology education while solving my

problem. By understanding what kills

results, you get solutions that are

psychologically informed instead of just

generic templates. Here's why this works

so well. When AI has to explain why

something fails, it develops a deeper

understanding of the success principles.

It's like learning to drive by first

understanding all the ways you can crash

it. That's some reverse psychology on

AI, right? And it works better than just

asking for good examples because now you

understand the why behind what makes

something effective. And most people

skip the failure analysis and jump

straight to solutions. But the pros,

they study failure first because that's

where the real insights are hidden.

Okay, next up, technique number five,

the expert panel method. And this one's

going to blow your mind because it's

like having a boardroom full of experts

at your fingertips. Here's what most

people do. They ask AI for advice and

get one viewpoint. That's it. One

perspective, one angle, one way of

looking at the problem. That's amateur

hour. Okay? Look, real strategic

decisions need multiple expert

perspectives. But who has time for three

separate meetings with different

specialists? Who has the budget to hire

a CFO, a growth hacker, and a customer

success manager just to get their input

on one decision? Nobody, right? That's

where this technique comes in. Here's

exactly what you do. You prompt chat GPT

like this. Analyze my strategy from

three perspectives. a conservative CFO

focused on ROI, an aggressive growth

hacker focused on scaling, and a

customer success manager focused on

retention. Then synthesize the insights.

Boom. You get strategic thinking that

usually takes three separate meetings,

three different consultants, and

probably cost you thousands of dollars.

for a product launch decision. Instead

of one generic viewpoint, you get risk

analysis from the finance perspective,

growth opportunities from the marketing

angle, and customer impact from the

success team's point of view. Do you

catch blind spots that single

perspective thinking always misses?

Because here's the thing, every expert

has their own lens, their own

priorities, their own way of seeing

problems. The CFO sees cash flow and

risk. The growth hacker sees opportunity

and scale. The customer success manager

sees retention and satisfaction. When

you get all three perspectives at once,

you make better decisions. Period.

Combine this with chain of thought

prompting that I showed you earlier, and

you get strategic analysis. That's scary

good. I'm talking McKenzie level

thinking for the cost of a chat GPT

subscription. Awesome. Now, let's talk

about technique number six, the viral

structure hijacker. And I am very

excited for you to learn this one,

especially if you're a beginner at

content creation. With this technique,

you don't have to reinvent the wheel.

All right? You can reverse engineer what

already works. This technique lets you

steal the psychological structure of any

viral content completely legally. Here's

the problem. Most people create content

from scratch. They sit down with a blank

page and try to come up with something

brilliant from nothing. That's not the

smartest way to get started. Okay?

Instead, why not use viral content that

already follows proven psychological

patterns, content that you can extract

and reuse for your own topics? Here's

how you do this. Step one, feed AI

successful content, and ask it to

extract the template. I'm talking hook

structure, story elements, emotional

triggers, call to action patterns, the

whole psychological framework. Step two,

apply that proven template to your

topic. You get the psychological

framework that made the original go

viral. But with your content, your

message, your brand, find viral content

in any format, posts, videos, emails,

whatever. Analyze the structure first,

then apply it to your topic. You get

battle tested templates instead of

gambling with untested ideas. Here's why

this works so well. Viral content

doesn't go viral by accident. There are

psychological patterns, emotional

triggers, structural elements that make

people want to share, comment, and

engage. Instead of trying to figure out

those patterns from scratch, you're

borrowing the blueprint from content

that's already proven to work. It's like

having the architectural plans for a

house that you know won't fall down

instead of trying to design your own

foundation from scratch. Smart creators

don't reinvent psychology. They use what

already works and apply it to their own

message. Okay, let's talk about

technique number seven, the creative

constraint system. And this is the

psychological hack I mentioned earlier

in the video that I absolutely love.

Here's something that's going to sound

completely backwards, but trust me on

this. The more constraints you give AI,

the more creative it gets. I know that

sounds crazy, but it works brilliantly.

Most people think constraints limit

creativity, right? They think if you

give AI more freedom, it'll be more

creative. Wrong. Instead of saying

create social media content, which is

what everyone does, try this. Create an

Instagram real script using exactly four

sentences. Include one statistic, one

story element. Target 28 to 35-year-old

entrepreneurs. Post Tuesday 9:00 a.m.

End with save this post. Casual but

confident tone. Address productivity

anxiety. Under 60-cond total. Look at

all those constraints. Right. exact

sentence count, specific elements to

include, target audience, posting time,

ending phrase, tone requirements, topic

focus, time limit. Here's why this works

so well. Generic requests get generic

outputs, but hyperspecific constraints

force AI to be surgically precise and

surprisingly creative within those

boundaries. It's like giving an artist a

specific canvas size and color palette.

The limitations actually spark

creativity instead of killing it. When

you say create content, AI has infinite

possibilities and usually picks the most

generic path. But when you say create

content with these eight specific

requirements, it has to get creative to

fit everything together in a way that

works. And think about it, some of the

most creative solutions in history came

from working within tight constraints.

Haikus are beautiful because of the 575

syllable structure, not in spite of it.

Twitter's 280 character limit forced

people to be more creative with their

words, not less. Same principle applies

here. The constraints don't limit AI's

creativity. They channel it in a

specific direction that actually

produces better, more useful results.

Plus, you get exactly what you need

instead of having to edit and reshape

some generic output that doesn't fit

your specific situation.

This technique alone will make your AI

outputs 10 times more useful because

they'll be tailored to your exact needs

instead of being one-sizefits-all

garbage. Technique eight, the draft to

genius system. All right, technique

number eight. This is the draft to

genius system. And honestly, this might

be the most important one I teach you

today. Here's the thing. Most people get

their first result from AI and they're

like good enough and they move on.

That's amateur hour, okay? That's like a

chef serving the first thing that comes

out of the pan without tasting it or

seasoning it. Listen, if you want

professional level results, you got to

treat AI like a junior employee who

needs coaching, not like some magic

genie that gives you perfect answers on

the first try. Here's my four round

system that I use for everything. Round

one, basic prompt, basic output. This is

just your starting point. All right,

don't get excited yet. Round two. Now

you say, "Make this 10 times more

specific to my exact audience. You're

not starting over. You're building on

what you already have." Round three, add

psychological triggers and emotional

elements that drive action. Now, we're

getting into the good stuff, the

psychology that actually makes people

care. Round four, optimize for

conversions and add urgency elements.

This is where you turn good content into

content that actually gets results.

Each round builds on the last like a

sculptor refining their masterpiece. You

know what I mean? You're not throwing

away work, you're making it better and

better. Here's my professional rule, and

I want you to remember this. Always

iterate at least twice. Amateurs take

first drafts. Professionals refine until

it's actually good. I've seen people

spend hours trying to write the perfect

prompt from scratch when they could have

gotten better results by just improving

what they already had. Don't be that

person. Okay, technique nine, the

context evolution hack. All right,

technique number nine, the context

evolution hack. And this one's going to

save you so much time and frustration.

Here's a situation that happens to

everyone, and I mean everyone. You're

deep into an AI conversation, right?

You've been going back and forth,

getting great analysis, building on

ideas, and then boom, something changes.

Maybe your budget gets cut in half.

Maybe a new competitor enters your

market. Maybe your timeline gets moved

up by three months. Whatever it is, your

whole situation just shifted. Now, most

people panic and start a completely new

conversation, losing all that valuable

context they just built up. That's

expensive and it's stupid. Okay, you

just threw away 20 minutes of back and

forth analysis because one thing

changed. It's like firing your

consultant and hiring a new one every

time you get new information. The

solution? Dynamic context injection.

Instead of starting over like an

amateur, you use dynamic injection.

Here's exactly what you say. Given this

new information, budget just got cut by

50%, reanalyze your previous marketing

strategy recommendation and provide an

updated version. Show me what changes

and what stays the same. You're building

on existing analysis instead of throwing

it away. You're treating the AI like a

smart consultant who can adapt their

recommendations when circumstances

change. Here's why this works so well.

It's like having a consultant who

remembers everything from your previous

meetings and can instantly adapt their

recommendations when circumstances

change without charging you for a brand

new analysis from scratch. The AI

already understands your business, your

goals, your constraints. It just needs

to factor in the new information. That's

way more efficient than starting from

zero every single time something

changes. And trust me, in business

things change all the time. This

technique alone will save you hours

every week once you start using it

consistently.

Most people don't realize that AI has

memory within a conversation. Use that

to your advantage instead of fighting

against it. Technique 10, the prompt

doctor method. All right, technique

number 10. This is the prompt doctor

method. And honestly, this might be my

favorite one because it's like having AI

become your personal prompt engineering

tutor. Let me show you how it coaches

you to write better prompts in real

time. Okay, here's a terrible prompt

that people use all the time. And I bet

some of you watching this have used this

exact prompt. Help me write better

social media content. I mean, come on.

Right? That's like walking into a

restaurant and saying, "Give me food."

What kind of food? For what occasion?

Any dietary restrictions? It's way too

vague. Now, I'm going to ask AI to

analyze this prompt and rewrite it like

a $200 an hour consultant would. Here's

exactly what I'm going to type. Act as

an expert prompt engineer with 10 years

of experience.

Analyze this prompt I'm about to give

you. Help me write better social media

content. I'm asking it to grade my

prompt on clarity, context, specificity,

then rewrite it as a perfect 10 out of

10 with detailed explanations of each

improvement. Look at this analysis. It

identified exactly what was wrong. No

audience specified, no platform

mentioned, no format requested, no

outcome defined. Then it rewrote it with

specific improvements and taught me why

each change matters. I didn't just get

better results, I learned how to write

better prompts. That's the beauty of

this technique. All right. You get

prompt engineering education while

solving your problem. It's like having a

mentor who not only fixes your work, but

explains exactly why they made each

change. Here's a 48 hour challenge for

you. Here's what I want you to do in the

next 48 hours, and this is crucial for

actually mastering this stuff instead of

just watching and forgetting. Pick the

prompt you use most often in your work.

Maybe it's content creation, maybe it's

analysis, maybe it's problem solving.

Whatever you use AI for most, take that

basic prompt and run it through three of

these formulas. Start with crisp E to

give it structure. Add the context

multiplier to give it depth. Then use

the draft to genius system to make it

brilliant. Document the before and after

results. Screenshot them, save them,

whatever. I guarantee you'll see a

dramatic difference that will make you

question how you were ever getting by

with basic prompts. And listen, don't

just learn these techniques and then

forget about them next week. Systematize

them, okay? Create a simple document,

could be a Google doc, could be a note

in your phone, I don't care, with your

top five favorite formulas from today.

Every time you discover a prompt that

gives you incredible results, save it to

your library. In 30 days, you'll have a

personal collection of proven formulas

that make you look like an AI expert to

everyone around you. Your colleagues

will be asking, "How did you get AI to

write that and you'll just smile because

you know something they don't." Now, you

just learned 10 prompt formulas that

most people will never discover. All

right. While your colleagues are still

typing basic requests and getting

mediocre results, you now have

techniques that can make AI work, like

your personal team of $200 an hour

specialists. If these 15 minutes just

saved you months of trial and error, hit

that subscribe button and drop a comment

with which formula you're testing first.

I read every single comment and often

reply with bonus techniques that I don't

share in the videos. Remember, in a

world where everyone has access to AI,

the advantage goes to those who know how

to use it like a professional. You now

have that advantage. And as I always

say, when life pushes you, stand

straight, smile, and push it the heck

back. I'll see you in the next

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