I built 10 AI Tools, and am giving it for free!
Summary
TLDRThis video tutorial demonstrates the rapid creation of 10 AI tools in under an hour using Simple LM, a package developed to streamline AI tool development. The creator guides viewers through setting up a Python environment, installing Simple LM, and generating text with AI. The script showcases projects like blog title generators, subject line generators, and hook generators, emphasizing the ease of building various AI tools by simply changing prompts. The video also covers creating user interfaces for these tools and introduces an AI-powered search engine prototype. The tutorial concludes with a bonus project on building an AI agent from scratch, offering free access to all tools and encouraging viewers to explore and innovate with AI.
Takeaways
- π The video demonstrates building 10 AI tools in under an hour using SimpleLM, a package developed to simplify AI tool creation.
- π οΈ SimpleLM is a package designed to reduce repetitive coding in AI projects by providing a straightforward method to generate AI responses.
- π The video starts by showing how to set up a new Python environment and install SimpleLM, making it accessible even for beginners.
- π To use SimpleLM with OpenAI, the user must add their OpenAI API key to a newly created .env file.
- π The script showcases how to generate text using AI by defining an LM instance and passing a prompt to the generate response function.
- π― The video presents a series of projects, starting with a Blog Title Generator, demonstrating the ease of creating AI tools by changing prompts.
- π° Subsequent projects include a Subject Line Generator and a Hook Generator, emphasizing the modularity and adaptability of the code.
- π The Hook Generator project highlights the importance of using real data to create unique AI-generated content, by utilizing JSON-formatted templates.
- π Two methods for building UIs for AI tools are discussed: one using HTML, CSS, and JavaScript, and the other using a Streamlit library for rapid UI creation.
- π The video introduces an AI-powered search tool that can search the web, summarize content, and extract key information, akin to a prototype of perplexityAI.
- π£οΈ Projects also include creating chatbots that can interact with content from blog posts and YouTube videos, showcasing the versatility of SimpleLM.
- π The Prompt Tester tool is introduced for evaluating and testing different prompts with multiple parameters, which is crucial for prompt engineering.
- π‘ As a bonus, the video concludes with an AI agent prototype that can autonomously decide when to use various tools to answer user queries.
Q & A
What is the main purpose of the video?
-The main purpose of the video is to demonstrate how to build 10 AI tools in less than an hour using SimpleLM, and to provide the tools for free at the end of the video.
What is SimpleLM?
-SimpleLM is a package developed by the video creator to simplify the process of building AI tools and projects by reducing code repetition.
How can beginners get started with SimpleLM?
-Beginners can start by creating a new Python script, setting up a virtual environment, installing SimpleLM, and following the step-by-step instructions provided in the video.
What is the first step to use SimpleLM for generating text with AI?
-The first step is to import SimpleLM, define a new LM instance, select a provider (like OpenAI), choose a model, and then generate a response using a prompt.
Why is it necessary to add API keys to use SimpleLM with OpenAI?
-API keys are required to authenticate and authorize the use of OpenAI's services, allowing SimpleLM to access and utilize the GPT model for text generation.
What is the significance of changing the prompt in building different AI tools?
-Changing the prompt allows the AI to generate different types of content based on the specific requirements of each tool, making it versatile for various applications.
How does the video creator suggest building a user interface for AI tools?
-The video suggests two methods: one using HTML, CSS, and JavaScript, and the other using a tool like Streamlit to quickly generate a web interface.
What is the benefit of using structured JSON format in AI tools?
-Using structured JSON format allows for easier data manipulation and presentation in user interfaces, making it possible to display information in an organized manner.
How can one learn the necessary skills to build UIs for AI tools as mentioned in the video?
-One can learn these skills through online learning platforms like Skillshare, which offers courses on HTML, CSS, JavaScript, and other relevant skills.
What is the role of Skillshare in the video?
-Skillshare is mentioned as a platform where the video creator learned the skills to build UIs and also hosts the creator's courses on building AI tools.
What is the potential of the AI tools built in the video?
-The AI tools built in the video have the potential to be used as standalone applications, prototypes for larger projects, or even as minimum viable products for new online businesses.
How does the video demonstrate the power of SimpleLM in content summarization?
-The video demonstrates the power of SimpleLM by showing how it can summarize content from various sources like blog posts and YouTube videos using the 'load content' function and generating summaries.
What is the concept of an AI-powered search as shown in one of the projects?
-An AI-powered search is a tool that can search the web for information, summarize key points from multiple sources, and present the consolidated information to the user, saving time and effort.
How does the video creator encourage interaction and engagement with the audience?
-The creator encourages interaction by offering a giveaway for lifetime access to their power members club, asking viewers to like the video and comment for a chance to win.
What is the significance of the 'Prompt Tester' tool in the video?
-The 'Prompt Tester' tool is significant as it allows for the creation and testing of multiple prompts with different parameters, which is crucial for evaluating and refining AI tool performance.
What is the final bonus project about in the video?
-The final bonus project is about building a simple AI agent from scratch without using any external services or libraries, demonstrating the flexibility and power of SimpleLM.
Outlines
π οΈ Building AI Tools with SimpleLM
The speaker introduces a video tutorial on constructing 10 AI tools in under an hour using SimpleLM, a package designed to simplify the creation of AI projects by reducing repetitive code. The video is sponsored by Skillshare, and the presenter promises to share all the tools for free by the end of the video. SimpleLM is showcased as a beginner-friendly tool that automates the process of setting up AI tools, with a focus on generating text using AI. The setup involves creating a Python script, setting up a virtual environment, and installing SimpleLM. The presenter also demonstrates how to generate text using the OpenAI model with the necessary API keys.
π Creating AI-Powered Content Tools
The script continues with a series of projects that utilize SimpleLM to generate various types of content, such as blog titles, subject lines, and hooks. The process involves defining an LM instance and customizing prompts for different use cases. The presenter emphasizes the ease of changing prompts to create new tools and mentions the potential for building a user interface using HTML, CSS, and JavaScript, possibly through learning platforms like Skillshare. The importance of using real data to create unique AI tools is highlighted, and an example of a hook generator using structured JSON output is provided.
π Developing User Interfaces and Summarizers
The speaker discusses two methods for building user interfaces (UIs) for AI tools. The first method involves using HTML, CSS, and JavaScript, with Skillshare courses recommended for learning these skills. The second method features the use of a tool like Chat GPT to rapidly generate UI code using the Streamlet library. The script also covers the creation of a blog summarizer and a YouTube summarizer, demonstrating SimpleLM's ability to extract and summarize content from various sources, and the potential for repurposing content into different formats like tweets.
π AI-Powered Search and Chatbots
The script describes an AI-powered search tool that can search the web, extract key information, and summarize it. It also outlines a project for creating a chatbot that can interact with the content of blog posts or YouTube videos, using a vector database to store and retrieve information. The projects aim to showcase the capabilities of SimpleLM for content interaction and summarization, as well as the potential for creating interactive AI agents.
π The Prompt Tester and an AI Agent Prototype
The final part of the script introduces the 'Prompt Tester,' a tool for evaluating and testing AI prompts with different parameters, which is crucial for prompt engineering. Additionally, a bonus project is teasedβan AI agent built from scratch without external services or libraries. This agent can autonomously decide when to use various tools to answer queries, demonstrating a more advanced application of AI technology in creating interactive and autonomous agents.
Mindmap
Keywords
π‘AI Tools
π‘Simple LM
π‘API Keys
π‘Virtual Environment
π‘Prompt
π‘JSON
π‘Skillshare
π‘Streamlet
π‘Content Summarization
π‘RAG
π‘Prompt Engineering
π‘AI Agent
Highlights
Introduction of a method to build 10 AI tools in under an hour using SimpleLM.
SimpleLM is a package developed to simplify the creation of AI tools by reducing repetitive code.
Even beginners can build AI tools with SimpleLM by following the provided steps.
Demonstration of setting up a new Python environment and installing SimpleLM.
Explanation of how to use SimpleLM to generate text with AI by defining an LM instance and using a provider.
The necessity of adding OpenAI keys to the environment for the AI to function properly.
Creation of a Blog title generator as the first project showcasing the ease of building AI tools with SimpleLM.
Subject line generator project illustrating the process of changing prompts for different AI tool functionalities.
Hook generation tool built using real data and structured JSON format for UI integration.
Two methods for building UIs for AI tools: one using HTML, CSS, and JavaScript, and the other using Streamlit.
Skillshare courses recommended for learning UI development and productivity skills.
AI-powered search tool that summarizes search results to provide key information.
Chat with blog posts project demonstrating interaction with AI based on the content of a blog post.
Chat with YouTube videos project allowing users to interact with the content of YouTube videos.
Prompt tester tool for evaluating and testing different AI prompts with various inputs.
Introduction of a bonus project, an AI agent built from scratch without using any external services or libraries.
Invitation for viewers to share their ideas and participate in a giveaway for lifetime access to the creator's courses and community.
Transcripts
hi friends in this video I will show you
how I build 10 AI Tools in less than 1
hour with the help of simpler Alam so
you can do the same and build any AI
tool you want easily not only that by
the end of the video I will give you all
the tools for free so you can run and
play with as you like if you are ready
let's get
started this video is sponsored by
skillshare okay friends before I start
the 10 AI tools let me first in one
minute show you what is simple LM how it
helps in building AI tools and then we
can get started with in the last two
years I built more than 100 AI projects
and I noticed that a huge part of the
code is being repeated it's the same so
I decided to build a package that helps
make building AI tools and projects a
lot easier you will see this right now
so in short simple LM is a package I
develop to help you build AI tools a lot
easier let me show you how easy it is to
get started with simpler llm so here I
am in a new project and by the way even
if you hadn't coded before even if you
are a total beginner you can still build
the tools with us today just follow up
so I will create a new simple python
script I will call it for example
start. py and let's call it
zcore the first step go to terminal new
terminal and let's create a new
environment python DM VM VM enter let's
activated perfect now install simple LM
pip pip install simple llm enter just
wait a couple of seconds perfect click
on this yellow button select interpreter
and select the virtual environment
interpreter and we are done we are ready
to get started and see how we can
generate text with AI with the help of
simple LM so simply say from simple lm.
language. llm input and LM provider this
is the first line the second line is to
define a new LM inst
look at the magic now I will say lm.
create for the provider I will select
open AI you can select for example
Gemini you can select anthropic whatever
you want open Ai and for the model I
will go with GPT for Omni now let's
generate some text generated text
anything you want is equal to LM
instance do generate response and simply
pass a prompt whatever prompt you want
let's say generate a sentence of five
words that's it let's print the
generated text but before you click run
and test the code you need to add your
open AI keys so what you need to do
simply is add a new file call
ITV this way and simply paste your API
keys if you want to use open AI only can
just add this key here it's up to you so
let's go back and run our code and see
the magic click on this
small run button and we got a sentence
so this is the response from the model
so this is how you can get started with
simple LM it's that easy okay that's
enough I'm so excited now to share with
you the 10 projects I built let's start
with number one create a new file call
it one and the first simple project is a
Blog title generator look how easy it is
to build this one the same idea here is
the code we Define the LM instance now
the only difference is the prompt I
created this simple prompt and I passed
it to my generate response function here
that's it so now whenever you change the
prompt you have a new tool let's see
this in action run and here we have 10
blog titles and you can see here the
topic you can simply change this for
example to digital marketing
tips for example and run and we have new
titles don't worry in a little bit I
will show you how to create a user
interface for these tools let's see the
second project two and now we will build
a subject line generator I think you
guessed this we just need to copy the
exact same code the exact same code here
but now we need to change the prompt
only so instead of this one I will
replace with the subject line generator
prompt just copy paste here and change
us input for example to digital
marketing tips let's generate some
subject lines now perfect we have a
subject lines this example to show you
how easy it is to build different AI
tools different combinations by just
changing the promt let's level up with
project number three again three and now
we will build the hook generation
tool so I'll paste the code it's a
little bit long but it's the exact same
process the same logic so we Define the
instance and now we have the hook
generator prompt you can see it's a
little bit long because I want to share
with you this important tip when
building AI tools if you want to be
unique you have to generate content
based on real data I mentioned this in
my other videos so here I collect
collected some templates and examples of
successful Hooks and then using this
data I'm generating the hooks and
returning it back in this structured
format it's called Json format why to
build the UI as I will show you in a
little bit so let me show you this how
it works so I will copy The Prompt and
then I will pass it to the Alam instance
but before that we have here a small tip
you need need to
replace the inputs here before how I do
this simply by using this format
function you just say user input is
equal the input topic and the usage is
equal to usage here so now you can
change the variables easily for example
here we can say a Twitter tweet for
example any type of content let's start
with short video let's run this to see
the output I will clear you see now
the difference is we are returning back
only this structured output you can see
we have hook type and the hook hook type
and the hook why I did this so I can
build the UI easily you can see here is
the hook generator I built on my
WordPress website for example I say here
digital marketing tips for a short video
content type generate you see now this
awesome loading and now we can read the
Json structured format and show them in
this way on our website this is why I
generated this structured response now
how we can build UI for our tools how we
can build a user interface we have two
methods I would share with you right now
number one is like this one here I used
HTML CSS and JavaScript and one of the
best places to learn this is skill share
you can learn these skills in less than
one week with this awesome course on
skillshare it's a full path starting
from the basics then fine-tuning the
layout getting creative and Publishing
your website this will help you design
and build any tool you want if you go to
my website you see I build different AI
power tools all with the help of HTML
CSS and JavaScript and if you combine
with chp2 today things will be a lot
easier and faster not only that on
skillshare you will find my courses too
building AI Agents from scratch and how
to create AI tools with WordPress which
shows you step by step in detail how I
buil the hook generator tool sharing
with you all the project codes resources
so we can replicate it easily Skiller is
one of the largest online learning
communities out there with thousands of
classes covering almost everything from
design illustration to marketing
business freelancing and even
programming and development there's
something for everyone for me I'll be
focusing more on productivity skills I
have problem managing all my tasks in my
business from my website from YouTube to
open source projects to my tools
everything and I believe this learning
path by Ali abdal is a good fit for me I
think you know Ali abdal and he
published this learning path on skill
and I think it will help me get things
done with less stress I hope so not only
that I've p with skillshare so the first
500 people to use my link in the
description below will get one month
free access to all classes go now get
started learn new skills and shape your
future thank you skillshare for
supporting my adree videos supporting my
audience and my channel okay let's now
move to the second second way in
building uis for our tools and this one
is really awesome you will love it we
will do this in less than 10 seconds I
will open Chad GPT simply go to my pre
prompts library then search for
streamlet open this prompt copy back to
chpt paste it here instead of the script
I will simply copy the hook generator
code paste here enter let's wait for
seconds and now chpt will generate the
UI using the streamlet library I will
copy it back to my projects create a new
project I will call 3or UI to test it
paste let's go back to our terminal it
says install stream just copy this code
pip install
streamlet okay now simply streamlet run
and the name name of the file look at
the magic and we have the online tool up
and running you can select the topic and
the usage for example here I will say
email marketing tips for short video
generate hooks wait a little bit we have
this loading and we got the hooks you
can simply ask shpt to update your
interface as you like but in a couple of
seconds we have this web application it
can be your next last project it can be
the next MVP product your next online
business you can start with this
approach okay now let's go to the next
level project with tool number four
again new four and now I will build a
Blog summarizer blog summary for example
and now you will see the power of simple
LM the real power again here is the
code we got the instance
now we have a URL to summarize my blog
post let me show you this I will open
the browser open it and here is the blog
post a full guide you want a bullet
point summary so we have the prompt and
we generate the response as before but
now we have one problem is we want to
extract the blog post content and here
where it comes the load content built in
function inside simple LM just call it
load content pass the URL and we have
the content ready to pass inside our
prompt it's that simple imagine what you
can do with this you have any content
from the web you can combine with a
prompt to do anything in our case we are
summarizing let's run this and we have
the summary of the blog post now look at
this project number five will be a
YouTube summarizer I will copy the exact
same code paste it here and what you
need to change only is the
URL you see the power of simple LM you
can just get a YouTube video URL here to
summarize also this function can read
both YouTube URLs PDF txt anything let's
open YouTube let's get a video for for
example this one here copy link and
paste run and we have the summary for
the YouTube video you can now watch 1
hour video in like 2 three minutes by
reading the summary then you can decide
if you watch the full video or not you
can save a lot of time now instead of
summarizing we are going to create the
new project as a Content converter look
at this
number six convert content.
py simply paste the code the exact Z
code we got and read the blog URL or the
YouTube video anything you want we have
the content now we only need to change
the prompt extract your information from
the following post and convert to an
engaging tweet post content here we are
so now we are converting content from a
blog post to a Twitter tweet we have a
lot of combinations here you can convert
to an email newsletter to a YouTube
script to a medium post you can
repurpose content using this powerful
script Let's test it I will run now so
we are converting this blog post into a
simple tweet look at this we have the
Tweet here perfect just take one minute
to imagine how many combinations and
tools and ideas you can simply build
with this
script by loading content and changing
the prompt you will have a lot a lot of
ideas and tools to build I would love to
hear your ideas in the comments section
below maybe your idea will be the next
video on my channel oh before I forget I
decided to give away free access to our
lifetime power members Club where you
get access to all my courses programs
tools libraries codes and access to our
premium community on Discord and on the
premium Forum everything lifetime if you
want to join this giveaway all you have
to do is smash the like button and
comment below and the next video I'll be
picking up randomly from the comments
one person to get this lifetime
access okay let's move on to the next
project now things will become more
interesting project number seven is an
AI powered
search look at this
s AI
powered search. py now what we will do
is the user will enter a query the
application the tool will search Google
for the top results summarize extract
them and then from all the results it
will give you the key information look
at this again you will see now the power
of simple LM it has a built-in function
to search Google with serer API again we
Define the instance we have the search
query for example we are searching for
the best microphones in
2024 we search Google we get the search
results now what I'm doing simply is
looping through the search results for
every search result and getting the
content using the load content and
function then I'm extracting the key
points from from each blog from each URL
and combining them in this overall
research text then at the end after we
finish the research we will extract the
key information from the overall
research so it's like an AI assistant
doing a research for you and giving you
the results in few key points Let's test
this I will clear and run so I want to
search for best microphones run let's
wait a little bit it's searching the web
and perfect here is the final summary
top recommendations these are the
microphones with their features then we
have razor then we have Technica at 2020
then we have this one and so on so it's
like the AI did the research for you if
you know perplexity I think you heard
about it per plexity AI it is an AI
powered search engine so if you search
for best microphones enter you will see
it will give you the sources and from
these articles it will generate the
summary you see Shure blueti razor elato
and so on based on the search results so
this project that we built here is like
a prototype of perplexity and AI powered
search engines okay now let's level up
again and create a project to chat with
our blog posts so let's create project
number eight chat with
blogs the project here is a little bit
complicated but it will be a great
prototype for you to play with and test
with and see how this technology works
okay so here's the code we will need
another file to use use here which is
simpler vectors I created this for the
sake of this project so what I'm doing
here simply is again reading the content
of any blog post any URL you want and
then I am chunking it splitting it into
small parts and then saving these parts
in a database I created it's called a
vector database if you had about the rag
system it's like a prototype of a rag
here then when I embed them all or save
them all in the database I create this
chat bot simple chatbot to chat with my
document for example this blog post free
AI chatbot on WordPress let's run this
project to see how it works so it runs
and now we will have a simple chat in
the terminal so I will ask what is this
blog post about and now the AI based on
the blog post it will tell me it's about
creating free AI chatbot for a WordPress
site without using third party Services
it is answering from the blog so you can
chat with any URL any blog post perfect
exit
goodbye clear and this is Project number
eight I think you guessed what is
Project number nine since simple LM has
this powerful function that can loads
both blog posts and YouTube videos
number nine will be chat with a YouTube
video so nine
chat with youtube. py the exact same
code but you can just pass a YouTube url
here and chat with the video content
perfect project number 10 and the
surprise 10 will not be the last project
we have a bonus project number 11 so
stay tuned number 10 is something
somehow special it's easy but special
it's called The Prompt tester.
py again using the power of simple LM
look at this simple tool inside simple
LM we have something called prompt
Builder which create multivalue prompts
so what this function will do is will
create multiple prompts based on
multiple parameters for example we have
this prompt that takes two inputs topic
and style and here I have a parameters
list topic style topic style topic style
and so on it may be 100 inputs then I
will create the multi-value prompts
using this template and I can test with
different parameters this is very
important in prompt engineering if you
are evaluating your prompts and you want
to test with different inputs and see
the results so here what will happen for
each prompt are going to generate titles
you will see now we have the first set
of titles with the first inputs then the
second set and the third set so for each
set of inputs we are generating
different output so we can evaluate the
prompts this is very important in the
concept of crafting prompts and testing
prompts if you want to learn more about
prompt engineering you can check my full
course on my website become a prompt
engineer from zero to scripting AI
workflows anyway let's now h hop into
the last bonus project number 11 it's
something special I built I want to
share with you it's an AI agent without
using any service any Library I built it
and I made it as simple as possible so
anyone can build an AI agent in a couple
of minutes here's the code and we need
this extra file the experimental agent
file so we have this agent now that we
can create and pass the provider from
simple LM and the model name and add
tools for example I can add the load
content that we used before as a tool
when you ask a question to this agent it
will decide by itself if a tool is
required or not and it will use the tool
and using the tool it will answer you
for example I will tell it to generate a
summary for this URL and the agent has
this tool I added it to the agent look
at this run in the first Loop in the
first step the agent will decide that
they need this function they call it and
get the full block post and then in the
Second Step they are summarizing it and
generating the final answer so this is
the summary you see so this is a
prototype of an agent I built from
scratch we can add whatever tool you
want and test and play with and I'm so
excited to hear your thoughts your ideas
what you did how you change this project
it's totally free it's open source do
whatever you want and if you are
interested to learn more about AI agents
How I build them how you can build them
totally from scratch you can check my
full course on my website or you can get
started totally for free with this video
here if you learn something new today
don't forget smash the like button all
the codes in the description below see
you later
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