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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