Getting Started with MindStudio

Summary

This video script introduces viewers to Mind Studio, a platform for creating AI-powered applications. It guides users through the process of leveraging foundational models, incorporating user inputs and custom data, and building unique AI solutions. The tutorial covers creating an AI, configuring its workflow with various blocks, and integrating custom JavaScript functions for advanced capabilities. It also demonstrates how to publish the AI, gather user emails, and integrate with services like MailChimp for marketing purposes, highlighting the platform's versatility and potential for rapid development of tailored AI applications.

Takeaways

• 🚀 Start by creating an account in Mind Studio to leverage foundational models for your AI application stack.
• 📈 Choose from various templates or start with a blank project to customize your AI's capabilities.
• 🔍 The Mind Studio editor is divided into the Navigator for resources and the Explorer for editing and adjustments.
• 📝 Write a clear AI prompt defining the role and task of the AI in the interaction.
• 🔗 Use markdown formatting for better organization and clarity of the AI's instructions.
• 🔄 Create an AI workflow with the automations tab, using different blocks for various interactions.
• 📊 Add user inputs by configuring input types, variable names, and labels in the Navigator.
• 💬 Send messages using the send message block to reference variables and provide explicit instructions to the AI.
• 📚 Incorporate custom data sources into the AI by uploading files and creating a new Vector database.
• 🌐 Configure the foundational model, temperature, and max response size in the model settings tab.
• 🔑 Access and sharing options allow you to control the visibility and distribution of your AI application.

Q & A

What is Mind Studio and how does it help in building AI applications?

Mind Studio is a platform that allows users to build AI-powered applications by leveraging foundational models as the base intelligence for their application stack. Users can incorporate additional resources such as user inputs, custom data sources, and custom JavaScript functions to expand the capabilities of the AI and create bespoke AI solutions for unique use cases.

How does one get started with creating a new AI in Mind Studio?

To create a new AI in Mind Studio, users need to sign up for an account and then navigate to the 'My AIs' page. From there, they can click on the 'New AI' button at the top right, choose from a variety of templates or start with a blank project, and proceed to the Mind Studio editor to begin building their AI workflow.

What are the two major sections of the Mind Studio editor?

The Mind Studio editor is divided into two major sections: the Navigator on the left, which shows all the resources used in creating the AI, including the root config file, data sources, custom functions, and user inputs; and the Explorer on the right, where all edits and adjustments are made.

How does the AI Prompt function in Mind Studio?

The AI Prompt is the initial set of system instructions provided by the user to the AI. It varies in length and content depending on the use case and requirements. When writing a prompt, it's helpful to assign a role to the AI, such as an assistant, and a task for it to complete, and to use markdown formatting for better organization and clarity.

What is the purpose of the 'Automations' tab in Mind Studio?

The 'Automations' tab in Mind Studio is used to create the AI workflow using various types of blocks that correspond to different kinds of interactions within the AI-powered app. Users can drag blocks around, zoom in and out, and scroll in any direction within the automation canvas.

How can user inputs be collected and utilized in Mind Studio?

User inputs can be collected in Mind Studio by creating a new user input and adding it to a 'Collect Input' block within the automations. Users can choose the input type, assign a variable name, and configure aspects like label text and placeholder text. These inputs can then be referenced in other parts of the AI workflow.

What is the role of data sources in AI development within Mind Studio?

Data sources in Mind Studio serve as references for the AI to query. They can be created in the Navigator, and at least one file must be uploaded as the data source. The AI does not use the full source material as context but rather queries the database and uses the query result as context. This feature allows the AI to reference external information or content when generating responses.

How can the AI's responses be customized in Mind Studio?

The AI's responses can be customized in Mind Studio by adjusting the model settings. Users can select the foundational model they want to use, such as GPT-3.5 Turbo, and modify the temperature of the model to control the predictability of the AI's responses. Additionally, the max response size can be adjusted to control the length of individual responses.

What are some of the publishing and sharing options available in Mind Studio?

After completing the AI configuration, users can publish it and choose a plan. They can enable password protection, remove Mind Studio UI branding, embed the AI on third-party sites, and even charge for access if they have a pro or business subscription. The AI can be shared by copying the URL or using the share menu.

How can the AI be integrated into a user's own website using Mind Studio?

To integrate the AI into a user's own website, they need to have a pro or business subscription to unlock the embedding feature. Once enabled, an embed code is provided which can be used within the user's site. The AI can then be used seamlessly on the published or exported site, with the same functionalities applying as if it were on the Mind Studio platform.

What kind of analytics and logs are available for an AI created with Mind Studio?

After publishing an AI, users can access a dashboard in the 'My AIs' page that provides lifetime analytics for the AI, as well as any logs that may have been collected. This allows users to monitor the performance and interactions of their AI application.

How can one ensure their domain is authorized for embedding the AI on a website?

To authorize a domain for embedding the AI, users need to copy the authorization URL provided in the Mind Studio settings and paste it into their website. This allows the AI to function correctly when embedded within an iframe on the authorized domain.

Outlines

00:00

🚀 Getting Started with Mind Studio

This paragraph introduces the viewer to Mind Studio, a platform for building AI-powered applications. It explains that users can leverage foundational models as the base intelligence for their applications and enhance them with user inputs, custom data sources, and JavaScript functions. The process of creating an account and getting started with a new AI project is outlined, including selecting templates and navigating the Mind Studio editor, which is divided into the Navigator for resources and the Explorer for editing.

05:02

📝 Crafting the AI Workflow

The second paragraph delves into the specifics of constructing the AI workflow. It covers the creation of the AI prompt, which sets the role and task for the AI, and the use of markdown formatting for organization. The paragraph also describes how to use the automations tab to build the AI's interaction logic with various blocks, such as collect input and send message blocks. Additionally, it explains how to incorporate custom data sources and configure them for the AI to reference, enhancing the AI's capabilities.

10:02

🎨 Customizing and Publishing the AI

This paragraph focuses on customizing the AI's settings and preparing it for publishing. It discusses the configuration of the AI's foundational model, temperature, and max response size. The process of setting up metadata, such as the AI's name and description, is detailed. The paragraph also touches on premium features available to pro and business subscribers, like password protection and embedding the AI on third-party sites. Finally, it outlines how to preview, publish, and share the AI, as well as accessing analytics and logs post-publication.

15:03

🔗 Integrating with MailChimp and Embedding the AI

The final paragraph demonstrates how to add additional capabilities to the AI, such as collecting emails and integrating with MailChimp. It explains the creation of new user inputs and the use of function blocks to run custom JavaScript code for workflows. The paragraph also covers the process of embedding the AI into a website using an embed code, which is accessible with a pro or business subscription. The integration allows the AI to function within the website, collecting emails and generating content as before. The paragraph concludes by highlighting the potential of Mind Studio and encouraging viewers to explore further resources for learning.

Keywords

💡Mind Studio

Mind Studio is a platform for building AI-powered applications. It allows users to leverage foundational models as the base intelligence for their application stack and incorporate additional resources such as user inputs, custom data sources, and JavaScript functions to tailor the AI to specific use cases. In the video, the creator uses Mind Studio to build a blog post generator, showcasing its capabilities and ease of use.

💡AI Prompt

An AI prompt is the initial set of instructions provided to the AI, which varies in length and content based on the use case and requirements. It typically includes a role for the AI to take on and a task for it to complete. In the context of the video, the AI prompt is used to guide the AI in generating blog posts based on user inputs.

💡User Inputs

User inputs are the data provided by the end-user that the AI can utilize to perform tasks or generate responses. In the video, user inputs are collected to determine what topic the AI should write about, and they are added as variables in the AI workflow.

💡Custom Data Sources

Custom data sources are additional information or content that users can upload to Mind Studio to be used as references for the AI. These sources can include documents, articles, or any other relevant data that the AI can query to provide context or enhance its responses.

💡Workflow

A workflow in the context of AI development refers to the series of steps or actions that the AI performs to accomplish a task or respond to user inputs. Workflows can be visually designed using blocks that represent different interactions within the AI application.

💡Vector Database

A vector database is a system used by AI applications to store and manage data in a format that allows for efficient querying and processing. It is created when a new data source is added in Mind Studio, enabling the AI to use the data as context for its responses.

💡Foundational Models

Foundational models are the underlying AI models that serve as the base intelligence for applications built in Mind Studio. These models provide a starting point for developers to build upon and customize for specific use cases.

💡Markdown Formatting

Markdown formatting is a lightweight markup language used to organize and format text, making it easier to read and understand. In the context of the video, it can be used within the AI prompt to structure the content and improve clarity for both the AI and human collaborators.

💡Embedding

Embedding refers to the process of integrating an AI application or content within a website or platform. This allows users to interact with the AI directly on the website without needing to visit a separate application or platform.

💡MailChimp

MailChimp is an email marketing platform used to manage and send emails to subscribers. In the video, the AI application is configured to collect email addresses from users and add them as subscribers to a MailChimp mailing list.

💡Automation

Automation in AI applications refers to the process of creating predefined sequences of actions that the AI can perform in response to specific triggers or user inputs. This streamlines tasks and enhances user experience by reducing the need for manual intervention.

Highlights

Introduction to Mind Studio for building AI-powered applications.

Leverage foundational models as the base intelligence for your application stack.

Incorporate user inputs, custom data sources, and JavaScript functions to expand AI capabilities.

Creating an account leads to the 'My AIs' page for new AI creation.

Mind Studio editor is divided into Navigator and Explorer for resource management and editing.

The main AI workflow is created in the 'mainflow' file.

AI Prompt is the initial set of instructions provided to the AI, which can include a role and task.

Markdown formatting can be used in prompts for better organization.

Automations tab allows creating AI workflows with various interaction blocks.

Collect Input block is used to gather user inputs for the AI.

User inputs can be configured with variable names, labels, and placeholders.

Send Message block is for providing explicit instructions to the AI using variables.

Custom data sources can be created in the Navigator for AI reference.

Data sources uploaded create a Vector database for AI to query.

AI does not use full source material as context but queries the database for responses.

System introduction can be set in the model settings tab for the AI chat.

Choose a foundational model and adjust model settings like temperature and max response size.

Publishing the AI involves metadata entry and selection of a plan.

AI can be shared via URL or embedded on third-party sites with pro features.

Additional capabilities like email collection and integration with services like MailChimp can be added.

Mind Studio's embedding feature requires a pro or business subscription.

AI applications built with Mind Studio can be fully customized and offer fast development.

Transcripts

hi there and welcome to mind studio in

this video we'll be walking you through

everything you need to get started

building your own AI powered app using

mind Studio using mind Studio you

leverage foundational models as the base

intelligence for your application stack

then you can incorporate all kinds of

additional resources like user inputs

custom data sources and custom

JavaScript functions to expand the

capabilities of your AI and build

bespoke AIS for your unique use case

after creating an account you will be

taken to the my AIS page from here click

on the new AI button at the top right to

create a new

AI you can choose from a variety of

templates or start with a blank

project after selecting a template

you'll be taken into the Mind Studio

editor the editor is separated into two

major sections on the left you'll find

the Navigator which will show you all of

the resources used in creating your your

AI this includes your root config

file and any data sources custom

functions and user inputs it also

includes your mainflow file which is

where you'll be creating the majority of

your AI

workflow the larger area on the right is

the Explorer which is where you'll be

making all of your edits and adjustments

the interface of this area will change

depending on the resource you're working

in let's start building our first AI we

can quickly give our AI a name by

navigating to our root

folder for this demo we're going to be

building a blog post

generator we can come back to this

config file at the end of our build to

fill out the rest before we

publish now let's navigate to our

mainflow file

here we can begin writing our main AI

prompt The Prompt is the initial set of

system instructions that you provide to

the AI all prompts will vary in length

and content depending on the use case

and requirements but a general rule of

thumb for writing your prompt is to

include a role for your AI to take on

and a task for it to

complete when writing your prompt you

may want to refer to your AI as

assistant and your user as human in

order to distinguish how each party will

participate in the

interaction lastly you may optionally

choose to use markdown formatting in

your prompt to better organize your

thoughts for collaborators or for later

editing next let's navigate to the

automations

tab here we can begin to create our AI

workflow using various types of blocks

that correspond to different kinds of

interactions within our AI powered

app inside of the automation canvas we

can drag blocks

around zoom in and

out and scroll in any

direction if you get lost while

scrolling you can also use the home

button to reset the

canvas for this blog post generator we

might want to ask our user what they'd

like to write about to do this we can

add a collect input

block you'll notice in our explorer that

we have an empty space on the right hand

side to add our user inputs so we'll

need to create a new user input to add

here we can do this by tapping on the

plus button and then clicking create

new or by clicking on the plus button

next to the user input UTS

folder if we open up the folder we can

also see that a new input has been

created when we create a user input

we'll choose our input

type and then we'll assign the input a

variable

name we can also configure other aspects

like our label text and placeholder text

in the configuration section

below

finally if you're subscribed to business

tier you may use the logging feature to

record the input provided by the

user we'll leave this disabled for

now once the user input is all

configured we can add it into our

collect input

block

next we'll want to give the AI explicit

instructions to write a blog post about

the topic provided to do this we'll add

a send message

block and enter our explicit

instructions you'll notice that we're

able to reference variables by using

double curly braces and the variable

name in this case we're referencing the

topic variable that we created via our

user

input the send message block is able to

send synthetic messages either from the

user to the AI or from the AI to the

user you may also also display the

response directly to the user or you may

assign it to a variable for later

use let's say we want the AI to

reference our own custom data we can do

this by creating a new data source in

the

Navigator when we create a new data

source we must upload at least one file

to use as the data source in this case

I'd like the AI to reference an article

from masterclass on how to write

effective blog posts

this won't be used as explicit context

for the AI but rather as a reference

should we want to chat with the AI later

about the content that is

generated you may upload multiple files

in the same data source if you'd like

and it's good practice to give your data

source a

name when we create a data source in

mind Studio we create a new Vector

database for the AI to query let's

quickly check to make sure our file

uploaded correctly we can double click

on the file itself and we'll be able to

see a preview of the file in this case

it's an HTML document extracted text the

raw chunks and the raw vectors created

for this Vector

database if we look at the extracted

text we'll notice that this is full of

text and is coherent if this is not the

case you may have uploaded a malformed

file keep in mind that when you

reference a data source the AI does not

have the full source material to use as

context in its responses rather it

queries the database and uses the query

result as context in some cases it may

be advisable to include any explicit

context you'd like the AI to know

directly inside of your main

prompt now that our data source is

successfully configured let's hop back

into our mainflow file and then into the

message message rules

tab here we can have the AI query our

data source on each new message sent by

the user by selecting our data source

under message

pre-processing we can also set our

system introduction which is an

introductory message that appears when

the AI chat opens for the first time

since we are collecting an input in this

AI we don't need an introduction and can

delete this line of

text

in the model settings tab we can select

the foundational model that we'd like to

use since I'm prioritizing fast

responses I'm going to go with GPT 3.5

turbo we can also adjust the temperature

of the model which determines the

predictability of the ai's

responses and the max response size

which controls the max length of an

individual

response now that we finished the

initial configuration of our AI we can

prepare it for publishing let's navigate

to the root config

file and then we can enter any metadata

that we'd like to include we already

have a

name and we can add in a short

description we can include our own icons

in

Media

you also have the ability to configure

your own landing page for your AI for

the purposes of this demo I'm going to

disable this page but feel free to fill

it in with your own

content inside of access and sharing

we'll also be able to determine whether

or not our AI is publicly available via

the uaii Showcase

and whether or not people can clone RI

to create new remixes for their own use

cases if you're a pro or business

subscriber you'll also have access to

features like enabling password

protection removing the Mind Studio UI

branding embedding your AI on thirdparty

sites and charging money for access to

your AI you can manage your subscription

in the billing

section now let's go ahead and preview

our AI we can open up a Draft preview by

tapping on the open button at the top

right and clicking preview draft from

here we can test out our Ai and see the

information passed to the AI via the

debugger on the right hand

side

now that we know our AI is working

properly let's head back into mind

studio and publish

it from here we can choose a plan and if

we're interested in accessing premium

features we can choose to upgrade our AI

to a pro or business plan for now I'm

going to select the free

plan from here we can easily use our AI

and we can share it by copying the URL

at the top or accessing the share

menu once published we'll be able to see

the AI inside of our my AIS page and

when we click on the AI we'll be taken

to a dashboard that shows us all the

lifetime analytics for this AI as well

as any logs that we may have

collected

if we want to make modifications to the

AI at any time we can always tap on the

edit button to get back inside of the

Mind Studio

editor let's go ahead and add some

additional capabilities to our AI in

this case I want to collect an email and

then send that email to MailChimp as a

new

subscriber to do this we'll go into

automations and then we'll need to

collect the email so we'll create a new

user

input then inside of automations we'll

add that email to our onboarding

flow when you add an input to the

onboarding block it acts as a global

variable when it's added to a collect

input put Block it's added as a runtime

variable the difference is that when

it's on the onboarding Block the

variable stays constant the user will

only need to fill out the onboarding

part once versus a collect input which

will run each time the AI is used in a

new thread now that we're collecting the

email let's go ahead and send that email

over to

MailChimp to do this we're going to use

a function

block functions allow us to run custom

JavaScript code in our AI

workflows to select the function we want

to run we can browse the community

functions

available here's a function that allows

us to collect emails for our mailchip

mailing list I'm going to go ahead and

import this

function each function will have

different configurations depending on

the requirements for that function to

operate I've gone ahead and filled out

all of the configuration info on the

right hand side I've entered my

MailChimp API key the list I'd like to

add the email to the data center ID and

then the variable

itself it's also important to note that

these are custom JavaScript functions

meaning that you can open the function

up and edit the JavaScript code inside

of

them each function is packaged with its

own custom JavaScript code configuration

Json which affects the inputs on the

right hand side when people configure it

and you may include some test data if

you're looking to test out your

function you can also debug the function

by pressing the play button and seeing

the response from the

console now that we have our functions

set up let's go ahead and publish our AI

again I'll also go ahead and open up my

mail Channel

account in my audience dashboard you'll

be able to see all of the emails I've

collected let's go ahead and enter a new

email now let's use the

AI at this point the function block has

run successfully and we can see if we

refresh our audio audience page the new

audience member has been added to our

audience

list so now we have a blog post

generator that collects an email uses

that email and sends it off to MailChimp

and then begins generating content for a

user this tool is immediately useful on

its own but we might want to embed this

AI inside of our own website to do this

is very simple the first thing you're

going to do is go to the root config

file and then you'll want to make sure

that you have a pro or a business

subscription

selected this will unlock the embedding

feature where you can enable API

access this will give you an embed code

that you can use inside of your

site let me open up a new tab and Open

up web

flow here I have a very simple web flow

page that I'm designing

all I need to do is add a new

element titled

embed and add it to my

body here it's going to ask you for the

custom embed

code this is the same code that's

available on mine Studio after enabling

API

access let's copy this code and then in

web flow we can paste the code

in

the script embed will only appear on the

published or exported site so let's go

ahead and publish the

site you'll notice that when you open up

the site for the first time an error

will appear inside of the iframe window

this is because we haven't authorized

our domain

yet we can easily authorize our domain

by copying the

URL and then inside of mine Studio paste

it inside of authorized

domains now when we refresh the page

we'll see that our AI is now embedded in

our site all of the same functions still

apply so if we enter a new

email and use the

AI

the AI still generates a

response and the email is still being

collected inside of

MailChimp mind studio is a powerful

platform that lets you build AIS at

ludicrous speeds these AIS can be fully

customized for your bespoke use case I

hope you enjoyed this getting started

video But realize that we're just

scratching the surface here if you'd

like to learn more please take a look at

our YouTube channel for the latest

tutorials and our documentation for the

latest guides and feature updates thanks

so much for watching and we'll see you

next time