AI is becoming more powerful and more deeply \r<\/div><\/li>
woven into everything we do. Some people try \r<\/div><\/li>
to ignore it, but it's not going away. If you're \r<\/div><\/li>
watching this, you already knew that. You're not \r<\/div><\/li>
asking if you should learn AI. You're asking how. \r<\/div><\/li>
Whether you want to work smarter, spark new ideas, \r<\/div><\/li>
automate parts of your business, or just buy back \r<\/div><\/li>
your time, this video will give you the full road \r<\/div><\/li>
map. You'll learn the key concepts, the right \r<\/div><\/li>
tools, and a clear step-by-step action plan. \r<\/div><\/li>
It's simpler than you think, and by the end, \r<\/div><\/li>
you'll be ahead of 99% of people trying to \r<\/div><\/li>
figure this out. But I also know the AI landscape \r<\/div><\/li>
can feel overwhelming. So, before we dive in, \r<\/div><\/li>
let's break down the biggest barriers that keep \r<\/div><\/li>
most people stuck. I'm not technical. That's \r<\/div><\/li>
totally fine. Most modern AI tools are built for \r<\/div><\/li>
non-technical users. If you're even a little tech \r<\/div><\/li>
curious and willing to learn and experiment, which \r<\/div><\/li>
you probably are if you clicked this video, that's \r<\/div><\/li>
all you need. And just to be clear, there will be \r<\/div><\/li>
zero coding involved here. It's changing too fast. \r<\/div><\/li>
Every week there's a new model, a new update, \r<\/div><\/li>
a shiny new benchmark. One day it's ChatGPT in \r<\/div><\/li>
the lead, then it's Claude, then Gemini. But the \r<\/div><\/li>
truth is, most of that is just noise. If you stuck \r<\/div><\/li>
with one solid model instead of chasing every new \r<\/div><\/li>
release, you'd be way better off. They all catch \r<\/div><\/li>
up to each other within a month anyway. What \r<\/div><\/li>
actually matters is the fundamentals, the core \r<\/div><\/li>
skills, and those don't change. I'll walk through \r<\/div><\/li>
all of them soon. There are too many tools. Yep, \r<\/div><\/li>
there are thousands, but you don't need most of \r<\/div><\/li>
them. In fact, you can do 90% of what you need \r<\/div><\/li>
with just three to five solid tools. The rest are \r<\/div><\/li>
either repetitive or super niche. I'll help you \r<\/div><\/li>
narrow down that list later in this video, too. \r<\/div><\/li>
I can't keep up with all the AI news. Honestly, \r<\/div><\/li>
don't. Unless you're creating AI content like I \r<\/div><\/li>
do, there's no reason to follow every headline or \r<\/div><\/li>
test every new tool. You're better off focusing \r<\/div><\/li>
on the bigger picture, the underlying trends, \r<\/div><\/li>
and stay aware of the updates that actually \r<\/div><\/li>
matter. The easiest way to do that is by \r<\/div><\/li>
subscribing to a couple good newsletters, people \r<\/div><\/li>
whose job it is to sift through everything, \r<\/div><\/li>
test what's worth testing, and summarize \r<\/div><\/li>
the highlights. There are plenty out there, \r<\/div><\/li>
including ones tailored to your industry. We run \r<\/div><\/li>
one at Futurepedia. I'm obviously biased, but I \r<\/div><\/li>
think it's the best. That's not the point of this \r<\/div><\/li>
video, though. There's no one-size fits-all here, \r<\/div><\/li>
but most people fall into one of three paths. \r<\/div><\/li>
Path one is the everyday explorer. You're not \r<\/div><\/li>
trying to build anything complex. You just \r<\/div><\/li>
want to make life easier. Summarize documents, \r<\/div><\/li>
write clearer emails, prep presentations, \r<\/div><\/li>
organize your learning. You're here for more time, \r<\/div><\/li>
less stress. like maybe a teacher using Chat \r<\/div><\/li>
GPT to draft lesson plans and tailor them to \r<\/div><\/li>
different grade levels or a student using Notebook \r<\/div><\/li>
LM to organize notes and prep for exams. Path two \r<\/div><\/li>
is the power user. You want to do more faster. \r<\/div><\/li>
Whether that's content creation, brainstorming, \r<\/div><\/li>
or solving problems. Maybe you're a creator using \r<\/div><\/li>
Perplexity for research, ChatGPT to write scripts, \r<\/div><\/li>
MidJourney for thumbnails, runway for B-roll, Suno \r<\/div><\/li>
for music, Descript for editing, and n to automate \r<\/div><\/li>
your posting workflow. Stacking tools can become \r<\/div><\/li>
extremely powerful. Path three is the builder. \r<\/div><\/li>
You want to go deeper. Automate tasks, build \r<\/div><\/li>
custom tools, or scale parts of your business. \r<\/div><\/li>
Tools like NADN, Manis, and Cursor. They let you \r<\/div><\/li>
connect apps, automate complex tasks, and build \r<\/div><\/li>
powerful systems all without writing code. Maybe \r<\/div><\/li>
you create an agent to handle support tickets or \r<\/div><\/li>
automate your lead genen or build an internal \r<\/div><\/li>
tool that saves your team hours every week. \r<\/div><\/li>
And just to be clear, in this video, I'm focusing \r<\/div><\/li>
on no code builders. Everything I'm talking about \r<\/div><\/li>
here is totally accessible. And the cool part is \r<\/div><\/li>
moving from one path to the next is easier than \r<\/div><\/li>
you think. You might start as an explorer and \r<\/div><\/li>
end up building real tools a few weeks later, \r<\/div><\/li>
hopefully with the help of this video. Let's \r<\/div><\/li>
break down a few core concepts before we jump \r<\/div><\/li>
into the tools. Artificial intelligence is the \r<\/div><\/li>
broad umbrella software designed to simulate \r<\/div><\/li>
human intelligence like learning, reasoning, or \r<\/div><\/li>
problem solving. Within that you have machine \r<\/div><\/li>
learning which is how AI systems actually learn \r<\/div><\/li>
by finding patterns in data and improving over \r<\/div><\/li>
time without being explicitly programmed. Then \r<\/div><\/li>
there's deep learning, a sub field of machine \r<\/div><\/li>
learning that uses neural networks. And these \r<\/div><\/li>
days when most people talk about AI they're \r<\/div><\/li>
usually referring to generative AI tools that can \r<\/div><\/li>
create new content, text, images, videos, music, \r<\/div><\/li>
and more. That's what we'll be focusing on in this \r<\/div><\/li>
video. I just mentioned the others to give a bit \r<\/div><\/li>
of context. And there will be some new terms that \r<\/div><\/li>
show up and I'll explain them in context. Now, \r<\/div><\/li>
let's talk about tools. One of the most \r<\/div><\/li>
important parts of this video, but also the \r<\/div><\/li>
one that can feel the most overwhelming. There \r<\/div><\/li>
are literally thousands of AI tools out there, \r<\/div><\/li>
but I'll break this down into five main \r<\/div><\/li>
categories. LLMs, research, image, video, \r<\/div><\/li>
and audio. Then there's one more category I'll \r<\/div><\/li>
cover that probably 80% of the AI tools you'll \r<\/div><\/li>
come across will fall into. These are specialized \r<\/div><\/li>
wrappers that use a foundation model and build a \r<\/div><\/li>
nice UI and additional features on top. There's \r<\/div><\/li>
more to it that I'll cover in that section, \r<\/div><\/li>
but understanding this makes the entire AI tool \r<\/div><\/li>
landscape feel less overwhelming. You don't need \r<\/div><\/li>
to spend hours researching every tool. Instead, \r<\/div><\/li>
start by identifying the problem you want to \r<\/div><\/li>
solve, the task that's eating up your time or \r<\/div><\/li>
energy, and look for the best tool to help with \r<\/div><\/li>
that. In a huge number of cases, the solution \r<\/div><\/li>
will be a large language model or LLM. The LLM \r<\/div><\/li>
is the most important tool in most people's AI \r<\/div><\/li>
toolkit. There are a ton of options and honestly, \r<\/div><\/li>
it doesn't matter that much which one you use. \r<\/div><\/li>
Maybe you go with ChatGPT because you're used \r<\/div><\/li>
to it, Gemini because you use Google products, or \r<\/div><\/li>
Claude because you like their philosophy, or Grok \r<\/div><\/li>
because you're an Elon fan, or Meta because you're \r<\/div><\/li>
into open source. They all have slightly different \r<\/div><\/li>
strengths and vibes, but the core functionality \r<\/div><\/li>
is very similar, and the underlying concepts, \r<\/div><\/li>
especially prompt engineering, are the same across \r<\/div><\/li>
the board. For this video, I'll be using Chat GPT \r<\/div><\/li>
in most of the examples since it's the most widely \r<\/div><\/li>
used, but everything I show here applies no matter \r<\/div><\/li>
which model you choose. These tools are all \r<\/div><\/li>
powered by what's called a large language \r<\/div><\/li>
model or LLM, a type of neural network trained \r<\/div><\/li>
on massive amounts of text data to understand, \r<\/div><\/li>
generate, and manipulate human language. They're \r<\/div><\/li>
incredibly versatile and powerful. People use them \r<\/div><\/li>
for everything from content creation and research \r<\/div><\/li>
to coding, translation, customer support, and \r<\/div><\/li>
more. This is where most people start and for good \r<\/div><\/li>
reason. Almost everyone can find high impact use \r<\/div><\/li>
cases for an LLM in their work or day-to-day life. \r<\/div><\/li>
Many of these models including Chat GPT, Claude, \r<\/div><\/li>
Gemini, and Grock are also multimodal, meaning \r<\/div><\/li>
they can work with more than just text. They \r<\/div><\/li>
can analyze images, describe visuals, and in some \r<\/div><\/li>
cases process video or audio. Gemini, for example, \r<\/div><\/li>
is currently one of the best at understanding \r<\/div><\/li>
video input. But here are a few terms you'll see \r<\/div><\/li>
around LLMs that are helpful to understand. So, \r<\/div><\/li>
a prompt is the instruction or input you give the \r<\/div><\/li>
model. A token is a small chunk of text, usually \r<\/div><\/li>
just a few characters or part of a word. LLMs \r<\/div><\/li>
process input and output in tokens, not words. \r<\/div><\/li>
Understanding tokens is useful when you're dealing \r<\/div><\/li>
with length limits or pricing, since most models \r<\/div><\/li>
charge by the number of tokens used. Hallucination \r<\/div><\/li>
is when the model makes something up, usually \r<\/div><\/li>
with confidence. This happens frequently, so \r<\/div><\/li>
never assume the answer is 100% accurate. Always \r<\/div><\/li>
double check important outputs. Rag or retrieval \r<\/div><\/li>
augmented generation. This is a setup where the \r<\/div><\/li>
model retrieves real data or documents to ground \r<\/div><\/li>
its answer instead of relying only on its training \r<\/div><\/li>
like searching the internet and using that \r<\/div><\/li>
information. Neural networks are the underlying \r<\/div><\/li>
architecture powering LLMs. They're inspired by \r<\/div><\/li>
how the human brain processes information and are \r<\/div><\/li>
designed to recognize patterns and relationships \r<\/div><\/li>
in data. You don't need to memorize these. They'll \r<\/div><\/li>
make more sense as we keep going and you see them \r<\/div><\/li>
in context. Here are a few simple use cases \r<\/div><\/li>
using ChatGPT. Paste in a URL and get a summary \r<\/div><\/li>
of an article. Upload a rough script and ask it to \r<\/div><\/li>
tighten the writing while keeping your voice. Drop \r<\/div><\/li>
in a massive PDF and get a digestible breakdown. \r<\/div><\/li>
Solve complex math problems. Brainstorm ideas, \r<\/div><\/li>
automate writing, simplify tasks, the list goes on \r<\/div><\/li>
and on. If you have a problem you want to solve, \r<\/div><\/li>
start here. If you want a full deep dive into \r<\/div><\/li>
everything ChatGBT can do, I've made a separate \r<\/div><\/li>
video on that. Another fast way to level up with \r<\/div><\/li>
ChatGPT is with this free ChatGPT resource bundle \r<\/div><\/li>
provided by HubSpot. There's a total of five PDFs \r<\/div><\/li>
that go in-depth on how you can utilize ChatGPT \r<\/div><\/li>
in your career to get ahead, solve problems or \r<\/div><\/li>
save time. My favorite is called supercharge your \r<\/div><\/li>
workday with ChatGPT. It covers specific examples \r<\/div><\/li>
of how ChatGPT can be used in various industries \r<\/div><\/li>
sales and marketing, project management, \r<\/div><\/li>
enhanced decision-m and problem solving, \r<\/div><\/li>
time management and organization. It walks through \r<\/div><\/li>
step by step with different tips and even has \r<\/div><\/li>
a section titled 100 ways to try chatbt today \r<\/div><\/li>
with 100 sample prompts you can use and modify \r<\/div><\/li>
no matter what career you have. There's sure to be \r<\/div><\/li>
a bunch in there that apply. And that's just one \r<\/div><\/li>
of the resources in the bundle. Use the link in \r<\/div><\/li>
the description to go download that. Thank you to \r<\/div><\/li>
HubSpot for sponsoring this video and providing \r<\/div><\/li>
free resources to the people that watch this \r<\/div><\/li>
channel. This next category is technically built \r<\/div><\/li>
on top of LLMs, but it's so useful and distinct \r<\/div><\/li>
in how it helps you think that it deserves its \r<\/div><\/li>
own category. At the core, these tools combine \r<\/div><\/li>
language models with real-time information and \r<\/div><\/li>
or your personal data sources to help you search, \r<\/div><\/li>
summarize, and synthesize fast. Perplexity is one \r<\/div><\/li>
of the biggest players here. It's an AI powered \r<\/div><\/li>
search engine that uses rag, retrieval augmented \r<\/div><\/li>
generation, to give you answers grounded in real \r<\/div><\/li>
sources. Tools like ChatGPT and Claude can search \r<\/div><\/li>
the internet, but Perplexity is built from the \r<\/div><\/li>
ground up to specialize in research and is so \r<\/div><\/li>
good at it, it's worth checking out. Another \r<\/div><\/li>
standout tool is Notebook LM. This might be the \r<\/div><\/li>
most powerful second brain I've used so far. You \r<\/div><\/li>
upload your own materials, notes, PDFs, articles, \r<\/div><\/li>
YouTube videos, and it helps you query, summarize, \r<\/div><\/li>
and connect them in genuinely useful ways. It's \r<\/div><\/li>
like having an AI research assistant that knows \r<\/div><\/li>
your personal knowledge base inside and out. It \r<\/div><\/li>
can find and locate sources directly within any \r<\/div><\/li>
of your documents and show you where it got it \r<\/div><\/li>
from. But whether you're a student, strategist, \r<\/div><\/li>
researcher, or just trying to think more clearly, \r<\/div><\/li>
these types of tools can seriously upgrade how you \r<\/div><\/li>
process and apply information. The image category \r<\/div><\/li>
has exploded, and the quality of what these tools \r<\/div><\/li>
can create is honestly incredible. Now, we're \r<\/div><\/li>
talking hyperrealistic scenes, branded graphics, \r<\/div><\/li>
stylized illustrations, and even clean editable \r<\/div><\/li>
text, all from a single prompt. Most image models \r<\/div><\/li>
today are based on something called diffusion. \r<\/div><\/li>
They start with a field of random noise and \r<\/div><\/li>
gradually remove that noise to reveal a final \r<\/div><\/li>
image that matches your prompt. Different tools \r<\/div><\/li>
have different strengths. The midjourney is \r<\/div><\/li>
still my favorite for realism and aesthetic \r<\/div><\/li>
quality. Chat GPT's image generator is amazing for \r<\/div><\/li>
interactive creation. You can generate an image, \r<\/div><\/li>
ask it to change small details, remove \r<\/div><\/li>
the background, or add new elements, \r<\/div><\/li>
all using natural language. Ideogram is especially \r<\/div><\/li>
strong when it comes to graphic design and text \r<\/div><\/li>
within images like posters, logos, or UI mock-ups. \r<\/div><\/li>
And to be clear, all of these tools can do a bit \r<\/div><\/li>
of everything pretty good. But depending on your \r<\/div><\/li>
goal, one may serve you better than the others, \r<\/div><\/li>
and there are far more than what I listed. \r<\/div><\/li>
Video is one of the fastest moving areas in AI, \r<\/div><\/li>
and new updates are constantly reshaping what's \r<\/div><\/li>
possible. Just recently, V3 from Google dropped \r<\/div><\/li>
a huge update that's gone super viral that you've \r<\/div><\/li>
probably seen. It can generate full scenes with \r<\/div><\/li>
synchronized video, dialogue, sound effects, and \r<\/div><\/li>
like emotions all from a single prompt. We can \r<\/div><\/li>
talk. No more silence. Yes, we can talk. [Music] \r<\/div><\/li>
That used to take a whole production pipeline. Now \r<\/div><\/li>
it happens in minutes, and Hyo 2 has pushed things \r<\/div><\/li>
even further with insane physics. You can create \r<\/div><\/li>
scenes with complex motions that felt impossible \r<\/div><\/li>
just months ago. The list of other amazing video \r<\/div><\/li>
tools is continually growing. There are two main \r<\/div><\/li>
ways to generate AI video. There's text to video. \r<\/div><\/li>
You just write a prompt and it generates the \r<\/div><\/li>
full scene. Then there's image to video. You \r<\/div><\/li>
provide a start frame, an end frame, or both, and \r<\/div><\/li>
the model animates from that. This gives you more \r<\/div><\/li>
control and lets you control the aesthetic while \r<\/div><\/li>
guiding the action through prompting. There are \r<\/div><\/li>
additional tools that let you animate characters \r<\/div><\/li>
using real motion. Runways Act 2 lets you upload \r<\/div><\/li>
a video of yourself or someone else and drive a \r<\/div><\/li>
character or scene with that motion. Mo is really \r<\/div><\/li>
good with restyling footage into any style you \r<\/div><\/li>
can imagine. Topaz can creatively upscale videos, \r<\/div><\/li>
enhancing the quality while reimagining \r<\/div><\/li>
the details. There's a ton of fun stuff \r<\/div><\/li>
to play with here, and it's evolving fast. Many \r<\/div><\/li>
people are using it to go viral on social media, \r<\/div><\/li>
but also to create full music videos or even \r<\/div><\/li>
advertisements for major companies. There are \r<\/div><\/li>
a few main areas in AI audio. Text to speech has \r<\/div><\/li>
come a long way, and 11 Labs is still the leader \r<\/div><\/li>
here. You can generate hyperrealistic voiceovers, \r<\/div><\/li>
clone your own voice, or create custom voices \r<\/div><\/li>
with different accents and tones. Write a script, \r<\/div><\/li>
pick a voice, and generate a polished narration in \r<\/div><\/li>
seconds. These voices can sound very natural and \r<\/div><\/li>
conversational. It's amazing. Music generation is \r<\/div><\/li>
a category that's kind of mind-blowing. There's \r<\/div><\/li>
a few key players here, mostly suno and yo, that \r<\/div><\/li>
let you create fulllength multi-instrument songs \r<\/div><\/li>
with singing just from a text prompt. [Music]\r<\/div><\/li>
champagne and cyanide.\r<\/div><\/li>
Or you can also guide the generations by uploading \r<\/div><\/li>
a reference track. [Music] Then there's voice \r<\/div><\/li>
input like what you can do in chat GPT. You can \r<\/div><\/li>
talk to it in real time and it responds with a \r<\/div><\/li>
natural conversational voice. It's surprisingly \r<\/div><\/li>
fluid, like having a back and forth conversation \r<\/div><\/li>
with a super helpful assistant. Isn't that right? \r<\/div><\/li>
Exactly. It's pretty cool how natural it can feel, \r<\/div><\/li>
right? It's almost like chatting with a friend who \r<\/div><\/li>
just happens to know a ton of stuff. It definitely \r<\/div><\/li>
makes things super convenient, especially \r<\/div><\/li>
when you're on the go or multitasking. \r<\/div><\/li>
And then pushing things even further, tools like \r<\/div><\/li>
Google AI Studio can listen to your voice and \r<\/div><\/li>
watch your screen at the same time, giving you \r<\/div><\/li>
real-time guidance or instructions as you work. \r<\/div><\/li>
I've used this before as an assistant to help \r<\/div><\/li>
me learn new softwares. Yeah. What's next? The \r<\/div><\/li>
background is still there. Okay. Now, go to \r<\/div><\/li>
the effect controls panel at the top left of \r<\/div><\/li>
the screen. There you should see the options \r<\/div><\/li>
for the ultra key effect. Click the eyropper \r<\/div><\/li>
icon next to the key color option and then click \r<\/div><\/li>
on the blue background in the program monitor. \r<\/div><\/li>
There's one additional category I want to cover. \r<\/div><\/li>
Let's call it specialized rappers for now. You'll \r<\/div><\/li>
see thousands of tools online that look brand \r<\/div><\/li>
new, but under the hood, most of them are just \r<\/div><\/li>
custom interfaces built on top of foundational \r<\/div><\/li>
models like chatbt, Claude, or Gemini. They're \r<\/div><\/li>
designed for very specific use cases, things like \r<\/div><\/li>
writing emails, fixing resumes, reviewing PDFs, \r<\/div><\/li>
or generating marketing copy. and they usually \r<\/div><\/li>
add a clean UI, some guard rails, and pre-loaded \r<\/div><\/li>
prompt engineering to make those models easier \r<\/div><\/li>
to use for that one task. And that's not a bad \r<\/div><\/li>
thing. These tools can be genuinely useful. But \r<\/div><\/li>
it's important to understand what you're actually \r<\/div><\/li>
looking at. Just ask yourself, is this a new \r<\/div><\/li>
capability or just a polished wrapper? If it's the \r<\/div><\/li>
latter, you might be able to recreate it yourself \r<\/div><\/li>
inside Chacht with a well-crafted prompt and a few \r<\/div><\/li>
examples. From there, it's a choice. Do you want \r<\/div><\/li>
to pay for the convenience and user experience, \r<\/div><\/li>
or would you rather build it yourself? that might \r<\/div><\/li>
take more time but could be more cost-effective \r<\/div><\/li>
and customizable. That said, some platforms go far \r<\/div><\/li>
beyond basic rappers. They combine multiple tools \r<\/div><\/li>
into full endto-end workflows. For example, a \r<\/div><\/li>
marketing platform that writes ad copy, generates \r<\/div><\/li>
branded visuals and videos, runs Facebook ad \r<\/div><\/li>
campaigns, and then AB tests the results all \r<\/div><\/li>
automatically. And those can be game changers \r<\/div><\/li>
for the right use case. And could you recreate \r<\/div><\/li>
something like that with LLMs, automations, and \r<\/div><\/li>
custom agents? Absolutely. And I'll show you how \r<\/div><\/li>
later when we get to those sections. That's where \r<\/div><\/li>
we're changing paths from the power user to the \r<\/div><\/li>
builder. It involves a lot more setup, testing, \r<\/div><\/li>
and trial and error. For many people, paying an \r<\/div><\/li>
extra $20 or $50 a month is worth avoiding that \r<\/div><\/li>
hassle. My goal here isn't to tell you which \r<\/div><\/li>
path to take, just to help you clearly see what \r<\/div><\/li>
these tools are, why they exist, and how to decide \r<\/div><\/li>
what's worth your time and money. Those are the \r<\/div><\/li>
main categories. And to cut the learning curve on \r<\/div><\/li>
some of these tools, we do have an entire learning \r<\/div><\/li>
platform on Futurepedia. There's over 20 full deep \r<\/div><\/li>
dive courses into all aspects of AI, including \r<\/div><\/li>
courses on most of the leading tools like chatbt, \r<\/div><\/li>
notebook, LM, midjourney, and others. Then many \r<\/div><\/li>
of the skills and other aspects I'll cover like \r<\/div><\/li>
prompt engineering or building a chatbot for \r<\/div><\/li>
your site. There is a whole library if you want \r<\/div><\/li>
to take the next step there. Of course, there's \r<\/div><\/li>
other resources across the internet, but we have \r<\/div><\/li>
tried to make this the most userfriendly and \r<\/div><\/li>
comprehensive platform for learning AI. But \r<\/div><\/li>
moving on, let's zoom out for a second. The \r<\/div><\/li>
tools will change. The features will evolve, \r<\/div><\/li>
but these four core skills will stay useful no \r<\/div><\/li>
matter what. Prompting is the most essential \r<\/div><\/li>
skill. Learning how to clearly communicate with \r<\/div><\/li>
AI will get you better, more useful responses. \r<\/div><\/li>
You don't need advanced prompt engineering for \r<\/div><\/li>
most tasks, but a few simple best practices can \r<\/div><\/li>
dramatically improve your results. Just start by \r<\/div><\/li>
being specific. If you use vague prompt, catch PT \r<\/div><\/li>
has to guess what you really want and fill in all \r<\/div><\/li>
the gaps. One of the easiest ways to improve those \r<\/div><\/li>
prompts is to follow a simple structure. Aim, \r<\/div><\/li>
context, rules. Aim is what do you want the AI \r<\/div><\/li>
to do? Write a product description. Explain \r<\/div><\/li>
this concept. Brainstorm five ideas. Number \r<\/div><\/li>
two is context. This is critical. Give the model \r<\/div><\/li>
relevant background and information. Who is this \r<\/div><\/li>
for? What's it about? Like for a Gen Z audience \r<\/div><\/li>
based on this resume from these bullet points. Or \r<\/div><\/li>
a powerful form of context is examples, especially \r<\/div><\/li>
in writing. If you want a specific tone or format, \r<\/div><\/li>
include a sample. Then number three is rules. Add \r<\/div><\/li>
any limits, formatting, or style preferences. Use \r<\/div><\/li>
bullet points. Keep it under a 100 words. Use \r<\/div><\/li>
simple language. Respond with JSON. Make it \r<\/div><\/li>
sound like a friendly expert. Include a table \r<\/div><\/li>
or flowchart. Let's do a quick example. So, \r<\/div><\/li>
here's a vague prompt. Write a blog post about \r<\/div><\/li>
productivity. After I send that, you can already \r<\/div><\/li>
see what it had to guess. Who was the audience? \r<\/div><\/li>
What kind of tone do you want? How long should \r<\/div><\/li>
it be? What kind of productivity are we talking \r<\/div><\/li>
about? That's a vague term. Now, compare it to \r<\/div><\/li>
this. I'm a business productivity coach. Write \r<\/div><\/li>
a 500word blog post for busy entrepreneurs about \r<\/div><\/li>
how to plan a productive Monday. Make it casual \r<\/div><\/li>
and include three actionable tips. End with a \r<\/div><\/li>
motivational quote. This is much more useful. It \r<\/div><\/li>
doesn't matter if you follow the aim context rule \r<\/div><\/li>
structure in the exact order. What matters is that \r<\/div><\/li>
you cover those elements. Like in this example, \r<\/div><\/li>
aim is write a 500word blog post. Context \r<\/div><\/li>
is I am a business productivity coach for \r<\/div><\/li>
busy entrepreneurs about planning Mondays. \r<\/div><\/li>
Rules was 500 words, casual tone, three tips, \r<\/div><\/li>
end with a quote. And in the case of a blog post, \r<\/div><\/li>
you'll typically have previous blog posts that \r<\/div><\/li>
you can upload to ask for it to write in your \r<\/div><\/li>
style. You can just add to the end, here's an \r<\/div><\/li>
example blog post. Write in this style. Easy. \r<\/div><\/li>
Roll prompting is another powerful technique. \r<\/div><\/li>
It's like a shortcut that instantly shifts the \r<\/div><\/li>
tone, perspective, and depth of the response just \r<\/div><\/li>
by telling the model who it is. Here's a quick \r<\/div><\/li>
example. You are a travel vlogger. Describe the \r<\/div><\/li>
experience of visiting Tokyo for the first time \r<\/div><\/li>
versus you are a business travel consultant. \r<\/div><\/li>
Describe the experience of visiting Tokyo for \r<\/div><\/li>
the first time. This is a simplified example, but \r<\/div><\/li>
notice how much of the context and tone is shaped \r<\/div><\/li>
just by assigning a role. even before adding the \r<\/div><\/li>
additional details you normally would. The first \r<\/div><\/li>
response will tend to focus on food, culture, \r<\/div><\/li>
street scenes, and sensory details. The second \r<\/div><\/li>
will highlight airport efficiency, transportation, \r<\/div><\/li>
meeting spaces, and business etiquette. It's the \r<\/div><\/li>
same city, same question, completely different \r<\/div><\/li>
output. Now, over time, you'll start thinking \r<\/div><\/li>
this way naturally. You won't always follow \r<\/div><\/li>
a strict order like aim, context, rules. It will \r<\/div><\/li>
all be included, but mixed in together naturally. \r<\/div><\/li>
The key is just to think clearly about what you \r<\/div><\/li>
want, who it's for, and how it should sound. That \r<\/div><\/li>
mindset will help no matter what you're trying to \r<\/div><\/li>
create. The more you practice, the more powerful \r<\/div><\/li>
it becomes. For a deeper dive, I'd recommend this \r<\/div><\/li>
resource that has a bunch of additional tips and \r<\/div><\/li>
techniques you can use. You don't need to know \r<\/div><\/li>
every AI tool, just the landscape. Understand \r<\/div><\/li>
the main categories and what's possible. \r<\/div><\/li>
That way, when you run into a problem, \r<\/div><\/li>
you'll recognize that it's solvable, and you'll \r<\/div><\/li>
know where to start looking. Workflow thinking \r<\/div><\/li>
is the ability to break big tasks into smaller \r<\/div><\/li>
steps that AI can help with. If you try to throw a \r<\/div><\/li>
huge multi-step request at an LLM all at once, it \r<\/div><\/li>
usually falls apart. But if you break it up into \r<\/div><\/li>
clear steps and use the right tools for each one, \r<\/div><\/li>
you'll get way better results. Sometimes it might \r<\/div><\/li>
seem like a task can't be done with AI, but maybe \r<\/div><\/li>
80% of it can. That's still a massive timesaver. \r<\/div><\/li>
Creative remixing is the skill of combining tools \r<\/div><\/li>
in unexpected ways. Not always to follow a plan, \r<\/div><\/li>
but to explore what's possible. Sometimes you \r<\/div><\/li>
start with a clear goal. Other times you try \r<\/div><\/li>
something, get an interesting result, and decide \r<\/div><\/li>
to follow that direction instead. This happens a \r<\/div><\/li>
lot with AI, especially the creative tools. The \r<\/div><\/li>
results aren't always predictable, but sometimes \r<\/div><\/li>
leaning into what the AI is good at produces \r<\/div><\/li>
better results than sticking rigidly to your \r<\/div><\/li>
original plan. Now, it's time to level up. Once \r<\/div><\/li>
you understand how individual tools work and start \r<\/div><\/li>
linking them together, you can begin automating \r<\/div><\/li>
tasks. That means building workflows that complete \r<\/div><\/li>
steps for you without manual input. Platforms like \r<\/div><\/li>
Zapier and Make have been around for years to do \r<\/div><\/li>
this, but Naden has become especially popular \r<\/div><\/li>
lately. Part of that verality is because it \r<\/div><\/li>
lets users sell workflow templates, and that has \r<\/div><\/li>
led to some grifting. You know, make $1,000 a day \r<\/div><\/li>
on autopilot if you buy my $50 template, that \r<\/div><\/li>
kind of thing. So, if you're watching YouTube \r<\/div><\/li>
videos about it, just know what to look out for. \r<\/div><\/li>
That said, the platform itself is incredibly \r<\/div><\/li>
powerful. And one big reason for its rise is the \r<\/div><\/li>
introduction of the AI agent node. That's one of \r<\/div><\/li>
the most intuitive ways to build agents. So, it's \r<\/div><\/li>
a great entry point into one of the most hyped and \r<\/div><\/li>
genuinely useful concepts in AI. And there's an \r<\/div><\/li>
important distinction here between automations \r<\/div><\/li>
and agents. Automations are fixed. They follow \r<\/div><\/li>
a step-by-step sequence A to B to C. Even if \r<\/div><\/li>
they get complex with branching logic, they still \r<\/div><\/li>
follow a predetermined path. Agents are dynamic. \r<\/div><\/li>
They can reason, make decisions, and choose which \r<\/div><\/li>
actions to take based on context. To function, \r<\/div><\/li>
an agent needs three things. A brain, usually a \r<\/div><\/li>
large language model, memory to retain context \r<\/div><\/li>
or past interactions, and tools, actions it can \r<\/div><\/li>
take, like sending messages, updating documents, \r<\/div><\/li>
triggering workflows, or calling APIs. A great way \r<\/div><\/li>
to practice is by slowly building an AI personal \r<\/div><\/li>
assistant. You start simple and add tools and \r<\/div><\/li>
functionality as you go. So, maybe you start just \r<\/div><\/li>
with an agent that reads your calendar and gives \r<\/div><\/li>
you a quick summary of your day, prioritizing \r<\/div><\/li>
what matters most. Then you add the ability \r<\/div><\/li>
to reschedule events or time block. And after \r<\/div><\/li>
all that, maybe it starts reading and summarizing \r<\/div><\/li>
your emails and eventually even sending replies on \r<\/div><\/li>
your behalf. Then you could give it access to your \r<\/div><\/li>
SOPs or notion docs for added context and connect \r<\/div><\/li>
everything through a simple chat interface. And \r<\/div><\/li>
that could just be in Telegram or WhatsApp. Over \r<\/div><\/li>
time, you'll be able to just send a quick message \r<\/div><\/li>
like something came up, rearrange my schedule \r<\/div><\/li>
for tomorrow, and it will be able to execute \r<\/div><\/li>
that. Or it could be summarize anything urgent \r<\/div><\/li>
for me today or write me hooks for a video on AI \r<\/div><\/li>
agents inspired by my hook database in notion or \r<\/div><\/li>
summarize the comments on my latest YouTube video. \r<\/div><\/li>
You can build in all sorts of things that apply to \r<\/div><\/li>
you. And I recommend starting with something like \r<\/div><\/li>
this because you'll catch every error and it's a \r<\/div><\/li>
safe way to experiment, debug, and iterate before \r<\/div><\/li>
building agents that run inside your business. I \r<\/div><\/li>
do have a full video on how to build this kind of \r<\/div><\/li>
workflow if you want to go deeper. It is probably \r<\/div><\/li>
the most straightforward agent guide out there. \r<\/div><\/li>
And I'll mention you may already be using agents. \r<\/div><\/li>
Chat GPT's deep research mode or the similar \r<\/div><\/li>
feature in perplexity in Gemini. It's a simple \r<\/div><\/li>
but powerful agent. So you give it a research \r<\/div><\/li>
task and then it plans the best way to approach \r<\/div><\/li>
it. It searches multiple sources all over the \r<\/div><\/li>
internet, identifies gaps, pivots its strategy, \r<\/div><\/li>
and then compiles everything into a clean report. \r<\/div><\/li>
It is incredibly useful. But learning how to build \r<\/div><\/li>
your own agents that give you that same kind \r<\/div><\/li>
of reasoning and execution power tailored to \r<\/div><\/li>
whatever task you choose is the next level. Vibe \r<\/div><\/li>
coding is a new approach to building software and \r<\/div><\/li>
tools that's emerged from some of the later \r<\/div><\/li>
AI updates. But here's the basic idea of how \r<\/div><\/li>
vibe coding usually works. You describe what you \r<\/div><\/li>
want in plain language using voice or text. The \r<\/div><\/li>
AI generates the code or a basic app structure. \r<\/div><\/li>
You test it, see what works and what doesn't. You \r<\/div><\/li>
describe your changes. Then the AI updates the \r<\/div><\/li>
app. And you just repeat that until it's working \r<\/div><\/li>
the way you want. You're just going with the flow \r<\/div><\/li>
of what the AI gives you, vibing, until you get \r<\/div><\/li>
something functional with no coding required. \r<\/div><\/li>
Now, this isn't at the point where you'll get \r<\/div><\/li>
full-scale productionready software through vibe \r<\/div><\/li>
coding, unless you're Jack Dorsey, I guess, but \r<\/div><\/li>
you can get a proof of concept prototype or an MVP \r<\/div><\/li>
you can test. I mean, there are cases of people \r<\/div><\/li>
fully vibe coding apps and publishing them to the \r<\/div><\/li>
app store. But an amazing way a lot of people are \r<\/div><\/li>
using this right now is building personal \r<\/div><\/li>
use tools or internal apps that streamline \r<\/div><\/li>
their own productivity. Like for example, you \r<\/div><\/li>
might build a lightweight CRM just for your \r<\/div><\/li>
sales workflow or a content creation app with \r<\/div><\/li>
your voice and hook templates and storytelling \r<\/div><\/li>
formats built in. A few tools that support this \r<\/div><\/li>
kind of workflow. Windsurf lets you build simple, \r<\/div><\/li>
usable apps with a polished interface. No code \r<\/div><\/li>
required. It's best for MVPs or internal tools. \r<\/div><\/li>
Lovable is designed for solo creators and small \r<\/div><\/li>
teams. It helps you design and build AI powered \r<\/div><\/li>
products quickly with a focus on user experience. \r<\/div><\/li>
Replet lets you build and test full apps with a \r<\/div><\/li>
clean UI all in your browser. It's good for rapid \r<\/div><\/li>
prototyping, especially with some light technical \r<\/div><\/li>
knowledge. Cursor is the most powerful. It's a \r<\/div><\/li>
desktop coding environment powered by AI. This is \r<\/div><\/li>
ideal if you already know a bit of code and want \r<\/div><\/li>
hands-on control. You can use it if you don't know \r<\/div><\/li>
how to code, but it will look more intimidating \r<\/div><\/li>
when you first start. But why this all matters is \r<\/div><\/li>
it makes software creation more accessible than \r<\/div><\/li>
it's ever been. If you're building for yourself \r<\/div><\/li>
or just testing an idea, it's often faster and \r<\/div><\/li>
more enjoyable than traditional coding. And as \r<\/div><\/li>
the tools get better, more people will be able \r<\/div><\/li>
to replace subscription-based SAS tools with \r<\/div><\/li>
personalized versions just by prompting for them. \r<\/div><\/li>
Now, I don't have a deep dive video on this yet. I \r<\/div><\/li>
haven't gotten to the level of expertise I'd want \r<\/div><\/li>
before making one, but if you want to go further, \r<\/div><\/li>
there are already a lot of good resources out \r<\/div><\/li>
there to explore. To make this actionable, I've \r<\/div><\/li>
broken it down into a simple plan. First, identify \r<\/div><\/li>
the biggest pain points in your life, work, \r<\/div><\/li>
or business, like what causes the most stress or \r<\/div><\/li>
procrastination, and what takes the most time. \r<\/div><\/li>
Next, write out what a potential solution could \r<\/div><\/li>
look like, even if it feels rough or incomplete. \r<\/div><\/li>
Then, research tools could help solve it, and \r<\/div><\/li>
ask ChatGPT to help. In many cases, it will be \r<\/div><\/li>
a large language model like ChatGPT, but based on \r<\/div><\/li>
the categories I covered earlier, you should have \r<\/div><\/li>
a pretty good idea where to look if it's not. From \r<\/div><\/li>
there, iterate. You may need to break it up into \r<\/div><\/li>
subtasks or use a bit of the prompt engineering \r<\/div><\/li>
we covered. You don't need to get it perfect right \r<\/div><\/li>
away, but just make adjustments, iterate until you \r<\/div><\/li>
can solve that task. Just dedicate whatever time \r<\/div><\/li>
you can to this. You don't have to go all in. \r<\/div><\/li>
Even 15 minutes a couple times a week can lead \r<\/div><\/li>
to serious time savings later on. Now, in parallel \r<\/div><\/li>
with this, just try exploring new tools. If you're \r<\/div><\/li>
already using ChatGPT, try doing something \r<\/div><\/li>
new inside of it, like creating a project, \r<\/div><\/li>
generating an image, making a mind map, or \r<\/div><\/li>
analyzing a document or data set. It has way more \r<\/div><\/li>
built-in capabilities than most people realize. \r<\/div><\/li>
I've got videos that cover all of them. I'd also \r<\/div><\/li>
recommend experimenting with tools like Perplexity \r<\/div><\/li>
and Notebook LM. They're both incredibly useful \r<\/div><\/li>
and their free versions give you a lot to work \r<\/div><\/li>
with. And once you've explored individual tools, \r<\/div><\/li>
start combining them. Just build a simple \r<\/div><\/li>
workflow that connects two or more. Then \r<\/div><\/li>
take the next step and automate something. Pick a \r<\/div><\/li>
basic repetitive task and set up a simple workflow \r<\/div><\/li>
that does it automatically. Once you get over \r<\/div><\/li>
the hurdle of building your first automation, \r<\/div><\/li>
you'll start seeing opportunities everywhere. \r<\/div><\/li>
So to sum all that up, start with a pain point, \r<\/div><\/li>
find the right tool, iterate, combine, then \r<\/div><\/li>
automate. That's the full road map. Don't just \r<\/div><\/li>
use AI because it's cool. Use it to actually solve \r<\/div><\/li>
problems. Start with one friction point in your \r<\/div><\/li>
life or work and see how far you can get with the \r<\/div><\/li>
tools and concepts I covered today. Most of this \r<\/div><\/li>
will come a lot easier than you first expect, and \r<\/div><\/li>
you don't need to keep up with every new release. \r<\/div><\/li>
The tools will keep changing. The core skills and \r<\/div><\/li>
principles won't. Even if you only apply a small \r<\/div><\/li>
part of what we covered here, you're already ahead \r<\/div><\/li>
of 99% of people. And if you do want to go deeper, \r<\/div><\/li>
we've built a full course platform at Futurepedia. \r<\/div><\/li>
It has over 500 lessons across over 20 AI courses. \r<\/div><\/li>
You'll find full learning paths on chat GPT, \r<\/div><\/li>
prompt engineering, automation, custom GPTs, video \r<\/div><\/li>
generation, coding with AI, and more. All included \r<\/div><\/li>
in one subscription. So whether you're just \r<\/div><\/li>
getting started, you're building internal systems, \r<\/div><\/li>
or applying AI in your business, there's probably \r<\/div><\/li>
a course that fits exactly where you're at. You \r<\/div><\/li>
can get a 7-day free trial using the link in \r<\/div><\/li>
the description. Or if courses aren't your thing, \r<\/div><\/li>
the newsletter will keep you in the loop with the \r<\/div><\/li>
most important updates. But bottom line, you don't \r<\/div><\/li>
need to master everything today, but the next step \r<\/div><\/li>
is to just keep going. If you're ready for that, \r<\/div><\/li>
this video is the one I'd recommend watching next.<\/div><\/li><\/ol> <\/div>\n <\/div>\n <\/div>\n <\/div>\n<\/div>\r\n <\/div>\n
\r\n
\u201dTitle