Noodl AI- Walkthrough
Summary
TLDRThis 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
🤖 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.
🗺️ 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.
Mindmap
Keywords
💡Noodle
💡AI
💡Visual Programming
💡UI
💡Database
💡Query
💡Mapping
💡Integration
💡Components
💡Customization
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
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