Noodl AI- Walkthrough

Summary

This video script provides an insightful look into the AI-powered features of Noodle, a powerful local platform for building custom enterprise-grade applications using a visual programming model. The presenter, Michael, demonstrates Noodle's AI capabilities, including generating user interfaces, querying databases, modifying data, and integrating external APIs. Through practical examples, such as creating a fleet management application and incorporating features like mapping, location services, and weather data, the script showcases how Noodle's AI streamlines application development. With its evolving AI-driven approach, Noodle aims to empower users to build sophisticated applications quickly and efficiently, hinting at exciting updates in the pipeline.

Takeaways

• 🤖 Noodle is a powerful local platform that uses a visual programming model to build custom enterprise-grade apps quickly, including custom hosting options.
• 💬 Noodle features an AI bar that enables chat and message-style interaction for various tasks like creating UI, querying databases, and generating content.
• 🚗 The demo showcases building a Fleet Management application where the AI generates UI components, queries databases, and performs CRUD operations.
• 🗺️ The AI integrates with services like Mapbox to display location data and weather information based on coordinates.
• 📊 The AI can generate components to display aggregated data like the number of cars, average travel time, and average ratings.
• 🔄 The AI's capabilities are constantly evolving, and more features are expected to be added in the future.
• 📥 Noodle offers a closed beta program that users can sign up for to try out the AI features.
• 🧩 The visual programming model allows connecting different nodes and components to build complex applications.
• 🌐 Noodle supports integrations with external APIs and services, like Mapbox in the demo.
• 🔧 The AI can generate code snippets for custom functionality, like formatting data or making API calls.

Q & A

What is Noodle and what does it do?

Noodle is a powerful local platform that uses a visual programming model to enable users to build custom enterprise-grade apps quickly, including custom hosting options.

How does the AI in Noodle work?

The AI in Noodle uses a chat and message-style interaction similar to systems like ChatGPT or Midjourney. It covers a wide range of use cases, such as creating a UI, making queries to a database, updating the database, and generating placeholder content.

What kind of application is being built in the video?

The application being built in the video is a Fleet Management application where users can see cars that belong to different facilities.

How does the AI assist in creating the UI?

The AI generates visual nodes to create a form for adding a car, including fields for brand, model, price, and a dropdown for selecting the current facility.

How does the AI help with database operations?

The AI generates a CRUD (Create, Read, Update, Delete) node that can modify the database. In the video, it is used to add a new car to the database based on the information entered in the form.

How does the AI assist in displaying car information on the map?

The AI generates a query node to get all the cars for the selected facility, and then connects the query results to display the cars as markers on the map.

What additional information does the AI help retrieve for a selected car?

The AI helps retrieve the current location and city name from the car's latitude and longitude coordinates using the Mapbox API, as well as the current temperature at that location using another API.

What facility information does the AI help display?

The AI generates a card component to display information about the facility, including the number of cars, average travel time of the cars, and average rating of the cars.

How does the AI format the average rating information?

The AI modifies the query to format the average rating to display only one decimal place.

What is the current state of the AI features shown in the video?

The AI features shown in the video are currently available as a closed beta, which users can sign up for, with more features expected to be added in the future.

Outlines

00:00

🤖 Exploring AI Features in Noodle Platform

This paragraph introduces Michael and provides an overview of the AI features available in the Noodle platform, a visual programming tool for building enterprise-grade applications quickly. The AI features include a chatbot-style interaction for various use cases like UI creation, database queries, and content generation. Michael demonstrates the process of building a Fleet Management application, showcasing the AI's capabilities in generating UI forms, retrieving data from databases, and adding new data.

05:02

🗺️ Visualizing Car Data on a Map

In this paragraph, Michael continues the Fleet Management application demo, using the AI to query and display car data on a map. He retrieves the cars for a selected facility and connects the data to map markers. Additionally, he utilizes the AI to fetch location information and weather details based on the car's coordinates using external APIs like Mapbox. Finally, Michael creates a card component to display summarized information about the facility, including the number of cars, average travel time, and average rating.

Keywords

💡Noodle

Noodle is a powerful local platform mentioned in the video script. It uses a visual programming model, allowing users to build custom enterprise-grade applications quickly. The script highlights Noodle's ability to provide custom hosting options and its evolving nature.

💡AI

AI, or Artificial Intelligence, is a central concept in the video. The script introduces Noodle's AI bar, where users can interact with AI through a chat or message-style interface similar to ChatGPT or Midjourney. The AI assists in various tasks like creating UI, querying databases, generating content, and more.

💡Visual Programming

Visual programming is the approach used by Noodle, as mentioned in the script. It involves building applications using a visual interface rather than writing code manually. The video demonstrates how the AI generates visual nodes that can be connected and configured to create functional applications.

💡UI

UI, or User Interface, is a key aspect highlighted in the video. The script shows how the AI can generate UI elements like forms with fields for inputting data. For example, the AI creates a form with fields for adding a car's brand, model, and price, along with a dropdown for selecting a facility.

💡Database

The video script emphasizes Noodle's ability to interact with databases. It demonstrates how the AI can generate queries to read data from a database, such as retrieving a list of facilities. Additionally, it showcases the use of CRUD (Create, Read, Update, Delete) nodes for modifying the database, like adding a new car to the database.

💡Query

Queries are an essential concept in the video, as they allow users to retrieve data from databases. The script shows how the AI can generate queries based on the user's requirements, such as getting all cars for a specific facility or retrieving facility names and IDs for a dropdown.

💡Mapping

The video script demonstrates the integration of mapping functionality in Noodle. It showcases how the AI can connect query results, such as a list of cars, to a map as markers. The script also mentions the use of Mapbox for geocoding and displaying location information based on latitude and longitude coordinates.

💡Integration

Integration is a significant aspect highlighted in the video. The script illustrates how Noodle can integrate with external APIs, such as Mapbox for geocoding and weather services. This integration allows users to fetch additional data, like location names and current temperatures, based on coordinates.

💡Components

Components are reusable building blocks mentioned in the video script. The AI has access to components from Noodle's design system, such as cards and card data items. These components can be used to create user interfaces and display information in a structured and visually appealing manner.

💡Customization

Customization is a key feature highlighted in the video. The script demonstrates how users can modify and configure the elements generated by the AI to suit their specific needs. For example, the user adjusts the formatting of the average rating display and removes unwanted components from a card.

Highlights

Noodle is a powerful local platform that uses a visual programming model to enable users to build custom Enterprise-grade apps quickly, including custom hosting options.

Noodle has an AI bar where users can interact with AI using a chat and message style interaction similar to ChatGPT or Midjourney, covering a wide range of use cases.

The AI generated a form with fields for brand, model, price, and a dropdown for facilities to add a car to the application.

The AI created a query to get all facilities, outputting the name as label and ID as value for the dropdown.

The AI generated a CRUD node to create a new car in the database using the form data.

The AI created a query to get all cars for the selected facility and connect them as markers on the map.

The AI generated a function using Mapbox API to get the current location and nearest city from the car's coordinates.

The AI created another function to get the current temperature at the car's location using the latitude and longitude coordinates.

The AI generated a card component with information about the number of cars, average travel time, and average rating for the selected facility.

The AI modified the query to add the number of cars, average travel time, and average rating of all cars for the selected facility.

The AI formatted the average rating to display with one decimal place.

The transcript showcases various AI-assisted features in Noodle, including UI generation, database queries and modification, location and weather data retrieval, and information card creation.

Noodle's AI capabilities are presented as a closed beta that users can sign up for, with more features coming in the future.

The transcript demonstrates how Noodle's AI can understand data models, components, and APIs to assist in building custom applications.

The AI's ability to generate code, queries, and UI elements based on natural language prompts is highlighted throughout the transcript.

Transcripts

hi my name is Michael this is a quick

look at some of the AI features in

noodle it's a snapshot of what it looks

like at the time of recording but this

is evolving pretty quickly for those of

you who aren't familiar with noodle it's

a powerful local platform that uses a

visual programming model to enable you

to build custom Enterprise grade apps

quickly including custom hosting options

anyone can try it out for free already

this is the AI bar and this is where you

interact with the AI it uses a Chat and

message style interaction similar to

something like chat GPT or mid-journey

if you're familiar with those kind of

generative AI systems

and it covers a wide range of different

use cases so it's everything from

creating a UI to making a query to your

database or updating the database

generating placeholder content and so

forth let's go go through a couple of

different examples

so I'm in the midst of building an

application here it's a Fleet Management

application where you can see cars that

belongs to different facilities

let's start by creating a UI where you

can fill in a form to add cars to your

rental locations so let's add a new page

to our application

so now let's invoke the noodle AI to

generate some UI

a form for adding a car include brand

model and price and let's go

okay now we have a starting point so

what the AI did here it generated these

visual nodes I also want a drop down

with the current facility so let's add

that

so let's ask the AI for a query

get all facilities output the name as

label and the ID as value and that is to

be able to connect it to the drop down

and now we have our facilities great

now we can enter a car brand

Tesla Model

y

Enterprise per day

as well as the facility and then we can

hit add car

to add this to the database we're going

to use the AI once more

now I want a crud node so that is a node

that is able to modify the database so

the query is about reading from the

database and the quad one is about

modifying the database

we want to

create a new car

right so now we can connect the form to

this node here

let's add this card to the database add

car

now when we look in the database we can

see that our car was added here of our

Tesla Model y

okay let's move on to the next step here

we want to show all the cars on this map

for the selected facility

I'm gonna head over here to the page

and then do a query node that will get

us all the cars for the selected

facility

get those cars for a specific facility

the AI understands the data model so it

knows that to get the a specific

facility we need to have its ID

now let's take this query get all the

cars and connect them to the map as

markers and now we have all our cars

I've started to create a card here where

you see some information about the car

that's currently selected let's use the

AI to get the current location from the

coordinates of this car

I want to use mapbox to get the current

location is that what we're using

already for the map I'm going to use the

functional this is a very generic node

it can do almost anything any kind of

JavaScript so let's create that

from a lat and long coordinate get the

location as a text frame using mapbox as

well as the name of City

and while that is thinking let's create

another one

once we have the location we also want

to get the weather at that location

yet the current temperature at the

location specified by latitude and

longitude coordinates

all right so let's see what it generated

here this is a functional that takes an

API key latitude longitude it sends the

request request to the mapbox geocoding

API perfect so now we need an API key

I have one that I will copy in here

let's see what we got we got the current

location great and the nearest city

let's move on to the final task I want

to show some information about the

facility the number of cars the average

travel time of the cars as well as the

average rating

of the cars

a card with information about number of

cars average travel time and average

rating

the AI has access to components from the

design system so when I said card it's

generated a card then there's something

like a card data item that it will use

I want to modify this slightly I don't

really want the title here

and I don't think we need this group

around it

let's remove that

this is much closer to what I want let's

go with that

now the last thing we're missing here is

the information

you get the information we want

we can modify this query a little bit

add the number of cars average travel

time and average rating of all cars

perfect now we want to format the

average rating a little bit maybe

make the average rating of

one decimal

okay now it modified it and now it's

just 4.2 instead of a long number of

decimals let's connect this

these were some of the features that are

currently available as a closed beta

which users can sign up for already

there's a lot more coming up as well

which we're pretty excited about

so stay tuned for updates