4 Next-Level ChatGPT Techniques (Save 15+ Hours Weekly)

Diving right in, we have the prompt

reversal technique for Chacha BT. And

here's what it does. You know that back

and forth we all have with AI. After

that initial prompt, we get a first

result that's maybe 50% of what we want.

So, we ask for some changes. The second

result gets us to 60% and this goes on

and on until we finally land on

something that's about 90% of what we

wanted, right? What if we could skip all

that back and forth and just jump

straight to the near-perfect result

every single time? That's what prompt

reversal does. Think of it like cooking

without a recipe. You add some salt,

taste it, add some pepper, and keep

tweaking until the dish is perfect.

Right? Prompt reversal is like having a

robot scan that final dish and producing

the exact recipe we needed from the

start so that next time we nail it in

one shot. Let's go through a real world

example so you see exactly how this

works. I start off by asking Chachi BT

to analyze our main competitor,

Anthropic, and walk me through their

business strategy. I receive a

comprehensive overview of Anthropic's

entire business. But this is way too

dense. I'm not sure what I should focus

on. So, I course correct and I say,

"Hey, this is too dense. Restructure

this into the SWAT analysis format.

Strengths weaknesses opportunities

and threats. I want three bullet points

per section and use clear and simple

words." and I get a targeted SWAT

analysis. But now this is too concise.

The bullet points need more detail. So I

refine again. Hey, uh, this is now too

concise. Flesh out each bullet point and

add a subheading under each section

called our strategic response and

suggest one concrete action that we can

take. Finally, I get exactly what I

want. Strengths, three supporting bullet

points, recommended action. Weaknesses,

three subordinating bullet points,

recommended action. Same thing for

opportunities and same thing for

threats. Perfect. Now, here's where the

magic happens. Instead of accepting this

result and moving on, I add one final

prompt. Reverse engineer our

conversation and write the single prompt

that would have produced my final

response in one go. And look at this.

Chatbt outputs the reverse engineered

prompt in a code block for easy copy

pasting. And we can test this out. I'm

just going to copy this code, open up a

new chat, paste it in, click enter, and

I'm just going to fast forward this part

here.

And as you can see, we got that perfect

detailed analysis in one step. That's

pretty awesome. Not only does

this technique save us so much time and

effort over the long run, but it also

captures all those little details we

refined along the way. And it helps us

become better prompt writers because we

can actually see how optimized prompts

are structured. Pro tip, people often

ask me which prompts I save to my

prompts database in Notion. And

honestly, most of these prompts come

from the prompt reversal technique

because those are the best prompts I use

repeatedly. Speaking of writing better

prompts, today's sponsor, HubSpot, has

an awesome resource I'm pretty impressed

with. It's their free ebook for

professionals, Supercharge Your Workday

with ChachiBT. Longtime viewers know I

made an entire video on Google Gemini's

guide for professionals. And while that

was a good start, the HubSpot ebook goes

way deeper into actionable strategies

for specific corporate roles. In fact,

their section on prompt databases

inspired a popular tip for my corporate

workshops, which is to assign one single

gatekeeper per team to add, refine, and

remove templates from a shared prompts

database. I'll leave a link to the free

ebook in the description, and thank you

HubSpot for sponsoring this portion of

the video. All right, moving on to hack

number two, a technique I call the

fiveinut amplifier. diving right into a

real world example. When I was a

marketing manager at Google, I had to

rely on the product and sales teams to

provide content for my campaigns. I'd be

like, "Hey, you're going to send me

those slides tomorrow, right?" And

they'd be like, "Oh, yeah, for sure.

Promise." A week later, I'd be like,

"Yo, where are the slides?" And they'd

be like, "Oh, I'm so sorry. I was busy

pitching clients and generating

shareholder value, something you

marketing folks won't understand." And

I'd be like, "Oh,

go yourself." Just kidding. I love

the sales team.

Anyways, with ChadBt, as long as I can

get my hands on their main slide deck, I

can amplify that content all by myself.

For example, I can ask the AI to create

an engaging 10 question quiz based on

their slides with multiple choice

options and the correct answer

indicated. Boom. Now, we can test the

audience's knowledge and keep them

engaged. Next, I'd have Catchup draft an

internal recap email for stakeholders

who couldn't attend the event,

summarizing the key takeaways and

product updates. Then, I might ask the

AI to create an external client-f facing

infographic that pulls out the most

impactful stats from those original

slides. And now, I have a follow-up

asset to share with clients. And this

works across any department or role,

right? The sales team can turn an

industry report from marketing into cold

emails for client outreach, a LinkedIn

post to generate leads and a list of

talking points for their next call. HR

can turn a 1-hour webinar transcript

into a quick reference guide with

step-by-step instructions, an FAQ for

the company internet, and a knowledge

check quiz for attendees. The benefits

should be pretty obvious by now. We

basically save hours of manual

reformatting and rewriting by using AI

to repurpose one higheffort piece of

content we already have access to. Pro

tip, be selective about your source

material and only amplify what I call

pillar content, your highquality proven

work like a successful presentation or a

datari report because the AI will

magnify the quality of what you give it.

Garbage in, garbage out, right? If you

find my AI videos helpful, by the way,

I'm actually developing an entire course

on evergreen skills and universal

principles to master any AI platform,

giving you a futurep proof framework

that never becomes obsolete. If you're

interested in learning a practical and

timeless AI system, click the link below

to join the weight list. All right,

moving on to strategy number three, the

red team technique. This is a simple

two-step method. First, you ask the AI

to create something from your

perspective. Then, and here's the

important part, you immediately ask it

to flip the script and adopt a critical

and opposing persona. Let's go through

some examples. First up, job

applications. You first ask Chashib to

tailor your resume for a job

description. Instead of stopping there,

you then flip the script by following up

with, "Now act as a hiring manager for

this role. You're extremely busy and

only have 60 seconds to scan the resume

you just helped me write. What are your

immediate red flags?"

Example two, after asking AI to draft a

business proposal for your CFO, you

redte team that proposal with you are

now the company's chief financial

officer CFO and your primary goal is to

cut unnecessary costs. Read the proposal

you just generated and critique it.

What's the biggest financial risk? Why

isn't the ROI justified?

Example three. After asking Chacht to

refine a cold outreach email, you tell

the AI, "You are now that VP of

marketing I'm targeting." You get 50

cold emails like this every day. Read

the email you just wrote and tell me

your immediate unfiltered reaction.

Which specific sentences make you hit

the delete button and why?

As you can see by now, the red team

technique helps us anticipate

challenges, giving us the opportunity to

strengthen our message before it reaches

a realworld audience. Pro tip: be

extremely specific with the persona you

ask the AI to adopt. Don't just say act

as a critic. Give it a detailed role

with clear motivations like you are a

risk averse CTO whose main concern is

data security. The more specific the

persona, the more insightful the

feedback. Pro tip number two, turn the

AI's critique into an actionable to-do

list. Use another follow-up prompt like

based on the weaknesses you just

identified, help me rewrite the three

weakest sentences in the original email.

This closes the loop and helps you

instantly improve your work based on the

feedback. All right, our fourth hack is

a technique I call blueprint

scaffolding. In a nutshell, this forces

the AI to explain its step-by-step

reasoning before it delivers the final

output. It's like finalizing the

blueprint of a house before actually

building the house. Diving right into an

example, I start off with a basic prompt

like, I offer an online course called

the Workspace Academy. I need a

marketing campaign brief for the Q4

holiday promotion. And the result is

extremely generic here uh and includes a

lot of information. I don't really need

for example like tracking UTM's

measurement operations and roles risks

and mitigation right I don't need to see

any of this right now with blueprint

scaffolding the improved prompt looks

something like this I offer an online

course called the workspace academy blah

blah blah this is all the same and then

first outline the standard sections of a

professional brief and give me a one-s

sentence description for each section by

seeing this blueprint first I

immediately realized okay it's giving me

way too much information. I don't need

18 bullet points or sections, right? So,

I can course correct immediately.

There's too much irrelevant information.

Apply the 80/20 rule and give me only

the essential sections for an email

marketing campaign with a three email

sequence. All right. And this tightened

up version is way better. So, I just end

with, okay, let's just remove seven to

eight cuz those again are not that

important. And then proceed with

fleshing out the entire brief. Right?

And this final output is way more

targeted and relevant than the generic

response we received earlier. The rule

of thumb here is for complex tasks that

require multiple steps, nuance, or a

specific structure, always ask to first

break down its thought process, review

and make changes as needed, then

execute. It's like reviewing an

architect's blueprint before they start

building. Right? by spotting an

incorrect measurement before they pour

the concrete. We're safe from having to

tear down the whole thing later. And if

you watch my video on the GPT5 update,

asking Chacht to articulate its steps

forces the invisible router to select a

more powerful reasoning path, which

leads to a more accurate and well

ststructured final output. Pro tip, we

can take this technique a step further

by defining success metrics upfront. For

example, I need a social media campaign

brief. First outline the steps and for

each step define the success metric. For

instance, for our competitor analysis,

the metric is a report with three

actionable takeaways. This builds

clarity and accountability into the

output from the very beginning. If you

enjoyed these tips, you should

definitely check out my top five chatbt

use cases for professionals. See you on

the next video. In the meantime, have a

great one.