Optimize Database Performance in Apps Built with No-Code Platforms

How Do I Optimize Database Performance in Apps Built with No-Code Platforms?

No-code platforms have revolutionized the app development landscape, enabling individuals and businesses to build fully functional applications without traditional coding skills. However, for any app to operate smoothly, optimal database performance is crucial—especially when using a no-code AI app builder. In this guide, we will explore key strategies to ensure your app’s database performs efficiently and scales well, even when built on a no-code AI platform.

Understanding Database Optimization in No-Code AI Platforms

No-code AI platforms are designed to simplify the app development process by providing pre-built tools and integrations. Despite this convenience, maintaining a high-performing database remains a challenge, as the inherent simplicity of no-code AI tools can sometimes hinder deeper control over database architecture. To optimize your database performance, it is crucial to understand the limitations and possibilities that these platforms offer.

1. Design a Scalable Data Model

The foundation of database performance optimization starts with a well-structured data model. In a no-code environment, ensure that your tables and relationships are designed to minimize redundancy. No-code AI app builders often provide drag-and-drop tools to create relationships between data entities, but it’s essential to avoid over-normalizing or creating unnecessary links. Aim for a balance between reducing data duplication and optimizing query speed.

2. Leverage Indexing Effectively

Indexing helps to speed up the data retrieval process, which is particularly important in no-code apps that must operate seamlessly for end users. When using no-code AI tools, make use of the platform’s available indexing features. Understand where and when to create indexes for columns that are frequently searched or used in filter operations. This can significantly reduce load times for users interacting with your application.

3. Optimize Queries by Filtering and Pagination

No-code AI platforms often allow you to create queries using visual query builders. When building queries, optimize them by including filters to limit the amount of data retrieved at any time. Use pagination to break large datasets into manageable chunks, which reduces server load and prevents the app from slowing down when handling large data sets. Properly leveraging the query options in your no-code AI platform can have a noticeable impact on performance.

4. Avoid Over-Reliance on Real-Time Data

Many no-code apps have features that rely heavily on real-time data updates. However, using real-time operations for every data interaction can put excessive strain on your database. Instead, analyze which parts of your app truly require real-time data and which can function effectively with periodic updates. Implementing caching mechanisms can also help reduce the frequency of database reads, improving performance.

5. Utilize Database Performance Monitoring Tools

No-code AI platforms often include built-in monitoring tools to track database performance metrics such as query response times and system resource usage. Take advantage of these tools to identify bottlenecks and areas for improvement. Monitoring your database performance regularly allows you to adjust your queries and data models based on observed patterns, ensuring your app remains fast and responsive.

6. Archive Unused Data

Storing large amounts of data that is no longer used can drastically degrade your database performance. Establish an archiving strategy for old data to ensure that only relevant information is being queried regularly. Many no-code AI platforms provide options for exporting data to external storage, which can help keep your main database streamlined and performant.

7. Minimize API Call Complexity

No-code AI tools often rely on APIs to communicate with external services. When working with APIs, ensure that the calls to external databases or services are efficient. Reducing the number of external requests, combining multiple requests into a single one, or optimizing the payload can help to improve overall database performance.

Conclusion

Optimizing database performance in apps built using no-code AI app builders involves a combination of careful data modeling, judicious use of queries, and leveraging platform-specific tools. No-code AI platforms make app creation accessible, but it’s crucial to implement thoughtful optimization techniques to ensure your app is scalable and efficient. By following these strategies, you can make the most out of your no-code AI platform and deliver a smooth experience to your users.

Build a Vendor Management App in Under Five Minutes

See How Aire AI App-Builder Builds a Vendor Management App in Under Five Minutes

In the fast-evolving world of technology, building a fully functional application in minutes sounds almost impossible. But with tools like the Air AI app-builder, it’s becoming a reality. In this step-by-step guide, we’ll walk you through the process of creating a Vendor Management app using Air AI, showcasing how quickly and efficiently this can be accomplished.

Getting Started with Aire

The journey begins with Aire’s intuitive prompt-builder interface. This tool assists users in creating a clear and concise prompt that Aire can use to build an app. Aire’s prompt-builder provides several input fields that you can customize to refine your prompt. However, in this demonstration, we will let Aire take the lead and handle most of the app-building process automatically.

Setting Up the Prompt

For this example, we start with a very simple prompt. Under “type of business,” we enter “enterprise” and for “type of activity,” we put “vendors”. We leave the other fields blank to see how Aire handles the app-building process on its own. If needed, users could fill in more optional fields to make the prompt even more specific.

Adding Modules

Next, we proceed to add modules, which are essential components of the data model for the app. We select a medium scope to ensure the app has a decent-sized data structure. With just a click, Aire generates a comprehensive set of modules:

  • Purchase Order
  • Vendor Contact
  • Vendor Review
  • Vendor Product
  • Vendor Services
  • Vendor Contract

These modules cover all the crucial aspects of a Vendor Management app. Users can manually delete or add more modules as needed, or let Aire suggest additional ones. The flexibility here is a great advantage for customizing your app to suit specific requirements.

Defining Fields for Each Module

After setting up the modules, we move on to defining fields. Once again, we opt for a medium scope to see what Aire suggests. Aire automatically populates each module with appropriate fields and their configurations, including field types such as text, number, dropdown, and date/time. For example, the Purchase Order module comes with fields like:

  • Order Number
  • Order Date
  • Status
  • Total Amount
  • Currency

You have the option to inspect these fields, delete any that are unnecessary, or add new ones manually. The convenience of having all these fields pre-configured saves a considerable amount of time.

Setting Up Relationships

Relationships are critical for ensuring that different parts of the app can interact seamlessly. This step takes about a minute and a half, as Aire maps out all the appropriate connections between the modules and fields. Relationships can be one-to-one or one-to-many, and Aire provides explanations for each relationship it creates to ensure you understand the logic behind it.

In just 90 seconds, Aire has established all the necessary relationships. What would typically take days of manual configuration is now completed in a fraction of the time.

Creating the User Interface (UI)

With the core data model ready, we move on to creating the visual components of the app. Aire generates UI pages that users will interact with, including:

  • Home Page: With metrics, charts, and a record list.
  • Dashboard Page: Featuring various charts.
  • Record List Pages: One for each module.
  • Record Pages: For detailed views of individual records.

Given the number of modules in the app, creating these pages manually would be a daunting task. But Aire accomplishes this in just a few seconds, saving even more time and effort.

Previewing the App in Corteza

Once the UI is set up, it’s time to see how the app looks in action. We deploy the app in Corteza, an open-source platform where you can preview, test, and further customize your app. The preview process takes a few minutes—just enough time to take a coffee break.

When the preview is ready, the app appears in Corteza, complete with all the record lists, record pages, charts, metrics, and other UI components. Users can edit and enhance these pages directly in Corteza, adding features like calendars, maps, progress bars, tabs, and more. Corteza also allows for adding workflows and connecting to third-party data sources, making the app even more robust.

Back to the Builder

Finally, we return to the Aire Builder. This interface provides all the same features as the Wizard used earlier, offering options to tweak modules, fields, and relationships further. If satisfied with the setup, deploying the app is as simple as clicking a button. And just like that, the Vendor Management app is complete, ready for use—all in under five minutes.

Conclusion

Building a comprehensive app in just a few minutes might seem like magic, but with Air AI, it’s a powerful reality. From setting up the data model to generating UI pages and establishing relationships, Aire automates the entire process, making app development more accessible and efficient than ever. Whether you’re a seasoned developer or a business professional with no coding experience, Aire provides a seamless and intuitive app-building experience that saves time and boosts productivity.

Build a Procurement Management App in Under Five Minutes

See How Aire AI App-Builder Builds a Procurement Management App in Under Five Minutes 

In today’s fast-paced business environment, the ability to develop robust, enterprise-level software solutions quickly and efficiently can provide a significant competitive edge. Enter Aire, the AI-driven app-builder that is redefining the way companies approach software development. In this tutorial, we’ll walk through building a comprehensive Procurement Management app in less than five minutes using Aire’s intuitive tools.

Step 1: Setting Up in Aire

Upon launching Aire, you’re greeted by the Aire prompt-builder. This handy tool assists you in crafting a precise and actionable prompt that Aire can use to generate your app. The prompt-builder includes several input fields, allowing you to specify various parameters to refine your app’s design. However, for this demonstration, we’re keeping it simple to see how well Aire can manage everything on its own.

  • Business Type: Enter “enterprise.”
  • Activity Type: Enter “procurement.”
  • Optional Refinements: We’re skipping these, but know that you can customize them later if necessary.

Step 2: Selecting Modules

Next, we dive into adding the app’s core modules. Selecting a medium scope ensures a comprehensive yet manageable data model. Aire instantly generates a set of essential modules for a Procurement Management app. Here’s what Aire suggested:

  1. Purchase Order Approval
  2. Vendor Registration
  3. Contract Template
  4. Procurement Strategy
  5. Request for Information
  6. Supplier Scorecard

These selections looked accurate, but Aire allows for flexibility. You can add or remove modules or even have Aire suggest additional ones if needed.

Step 3: Configuring Fields

Moving on to fields, we again choose a medium scope to populate each module with relevant data fields. Aire’s AI fills these modules with fields that come pre-configured with types like text, number, dropdown, and date/time.

For instance, in the Purchase Order Approval module, Aire generated fields such as:

  • Approval Status
  • Approval Date
  • Approval Comment
  • Approval Deadline
  • Priority Level

You can easily inspect each field, remove unwanted ones, or add new ones to fit your requirements. However, the default options were quite comprehensive, so we proceeded without modifications.

Step 4: Defining Relationships

Establishing relationships between different modules is crucial for data connectivity. This step took about a minute and a half because of the complexity involved. During this time, Aire mapped out relationships, explaining the rationale behind each one, which helps users understand the app’s data structure.

Relationships connect fields across modules, making it easy to access related records. Aire supports both one-to-one and one-to-many relationships, simplifying data management. Once complete, our data model—comprising modules, fields, and relationships—was ready, all within minutes.

Step 5: Creating User Interfaces

With the core data model established, it was time to build the app’s visual elements. Aire automatically generated user interface (UI) pages, significantly reducing development time. These pages include:

  • Home Page: Features metrics, charts, and a record list.
  • Dashboard Page: Displays key charts for performance insights.
  • Record Pages: Allow users to view detailed information for each module.
  • Record List Pages: Summarize records in an organized list format.

Building these manually would take days, but Aire accomplished it in mere seconds.

Step 6: Previewing the App in Corteza

To see the app in action, we deployed it in Corteza, a powerful, open-source platform for running business applications. Previewing took around three minutes, and the results were impressive:

  • Record Lists and Pages: Seamlessly integrated and easy to navigate.
  • Charts and Metrics: Fully functional and visually appealing.
  • Home and Dashboard Pages: Ready for immediate use, with options to add elements like calendars, maps, progress bars, and tabs.

Corteza also supports additional functionality, such as setting up workflows and integrating third-party data sources, offering even more customization options.

Final Steps and Deployment

Back in the Aire Builder, you have access to all the features from the Wizard, should you want to make further refinements. Aire can continue to suggest modules, fields, and relationships, giving you maximum flexibility.

Satisfied with the app, we clicked “Deploy,” and just like that, the Procurement Management app was complete—all within five minutes.

Conclusion

Building a Procurement Management app with Aire is remarkably fast and efficient. The AI app-builder handles complex tasks, such as designing data models, setting up relationships, and creating UI pages, in record time. What would usually take days or even weeks can now be accomplished in minutes, enabling businesses to focus more on strategy and less on tedious development work.

Aire’s intuitive, AI-driven approach is a game-changer for enterprise software development, empowering teams to innovate without getting bogged down in technical details. Whether you’re building a procurement solution or any other business application, Aire offers a quick, effective, and user-friendly way to bring your ideas to life.

Build a Gym Management App in Under Five Minutes

See How Aire AI App-Builder Builds a Gym Management App in Under Five Minutes

Welcome to Aire! If you’ve ever dreamed of creating a fully functional app without investing days of manual effort, Aire AI’s app-builder is here to turn that dream into reality. In this article, we’ll walk you through the process of building a Gym Management app in less than five minutes using Aire, and you’ll see just how intuitive and efficient the process is.

Getting Started with Aire AI

The first step in creating an app with Aire AI is using the Aire prompt-builder. This feature is designed to help you craft a clear and concise prompt, giving Aire all the information it needs to generate your app. The prompt-builder includes various input fields, allowing for as much or as little customization as you like.

For this example, we kept it simple and allowed Aire AI to make most of the decisions. We only specified a “gym” as the type of business and “laundry” as the type of activity, leaving all other fields blank to see how Aire would handle the project on its own.

Adding Modules to the App

Once we set the basic parameters, we moved on to adding modules. Aire offers the ability to select a “scope” for your modules, which determines the size and complexity of your data model. We selected a medium scope, giving us a robust and practical structure for our app.

Within moments, Aire AI generated a set of modules perfect for gym management, including:

  • Equipment
  • Workout Plan
  • Personal Trainer
  • Group Class
  • Membership Package
  • Facility Maintenance

These modules provided a solid foundation, but Aire also offers the flexibility to manually add or delete modules, or even suggest more if necessary. In our case, we were satisfied with what Aire generated and proceeded to the next step.

Defining Fields for Each Module

The next stage involved defining fields for each module. We selected a large scope for this, allowing Aire to create comprehensive field sets. The beauty of Aire is that it not only populates fields but also assigns appropriate field types like text, number, dropdown, and date/time, all complete with configurations.

For instance, the Equipment module included fields like:

  • Name
  • Type
  • Manufacturer
  • Model
  • Purchase Date

These fields provided all the necessary details for managing gym equipment. As with modules, fields can be inspected, modified, or supplemented as needed. But since everything looked good, we moved forward.

Creating Relationships

Relationships between modules are critical for creating a cohesive data model. Aire takes about a minute and a half to establish these, given the complexity of the modules and fields involved. During this time, Aire systematically maps out the connections, ensuring everything is logically linked.

Relationships help connect records across modules, making it easy to look up related information. These connections can be one-to-one or one-to-many, and Aire even explains the rationale behind each relationship it creates. In just over a minute, our app had a fully defined data model, complete with modules, fields, and relationships—work that would typically take a day or more if done manually.

Generating User Interface (UI) Pages

An app isn’t complete without user-friendly UI pages. Aire handles this effortlessly, creating a record page and a record list page for each module, along with a home page and a dashboard. Considering the number of modules we had, setting up these pages manually would have been a laborious task, likely taking another day or two. Yet Aire accomplished it in just 15 seconds.

Our UI pages included:

  • Home Page: Featuring metrics, charts, and a record list
  • Dashboard: Complete with data-driven charts
  • Module Pages: Record lists and record detail pages for each module

Previewing the App in Corteza

With our app structure and UI in place, it was time to preview the app in Corteza, the platform where it would be deployed. The preview process took a few minutes, giving us the perfect opportunity for a coffee break. When it was done, we had a fully functional Gym Management app, complete with all the UI components we needed.

In Corteza, we explored the app and found our record lists, detail pages, metrics, charts, and more—all seamlessly integrated. Corteza also provides options for further customization, such as adding a calendar, map, progress bar, tabs, or connecting to third-party data sources. Users can even set up workflows for automating processes. However, we were happy with our app and decided to return to Aire for the final step.

Final Touches and Deployment

Back in the Aire Builder, we had access to all the features from the Wizard, allowing for even more customization if needed. Aire can further suggest modules, fields, and relationships, but we felt satisfied with our app’s structure. With just one click, we deployed our Gym Laundry Management app.

And just like that, in under five minutes, our app was complete. A process that typically requires days of development and design work was finished in mere minutes, thanks to the power of Aire AI.

Conclusion

Building a complex app like a Gym Management system has never been easier. Aire AI automates the heavy lifting, from setting up modules and fields to creating relationships and UI pages. Whether you’re an experienced developer or a business owner with no coding knowledge, Aire’s intuitive platform makes app creation accessible to everyone. In less than five minutes, you can have a fully functional, customizable app ready to deploy.

Build a Hotel Laundry Management App in Five Minutes

See How Aire AI App-Builder Builds a Hotel Laundry Management App in Five Minutes

In the fast-evolving world of digital transformation, the ability to quickly and efficiently build custom apps can be a game-changer. Today, we’re taking a closer look at how to create a Hotel Laundry Management app using the Aire AI app-builder. This powerful tool allows users to design fully functional applications without any coding knowledge — in just under five minutes.

Step 1: Setting Up the App with Aire Prompt-Builder

The journey begins with the Aire Prompt-Builder, which helps define the core of the app. The Prompt-Builder offers several fields to refine the prompt, but for demonstration purposes, we kept it simple by specifying only the business type as “hotel” and the activity type as “laundry.” This minimalist approach showcases Aire’s ability to intelligently infer and generate other key elements of the app, simplifying the development process.

Step 2: Defining the Modules

Modules are the backbone of any app, representing key entities or sections of the application. By selecting a medium scope, the AI-generated modules for our Hotel Laundry Management app included:

  • Laundry Service
  • Guest Laundry Request
  • Laundry Item
  • Laundry Staff
  • Laundry Schedule
  • Guest Room

This modular setup ensures comprehensive coverage of all crucial hotel laundry functions. Aire offers flexibility in this stage, allowing you to add or remove modules as needed or let Aire’s AI suggest additional ones.

Step 3: Adding Fields to Modules

The next step involved selecting a large scope for adding fields to the modules. Each module was automatically populated with various fields and their appropriate field types. For instance, in the Menu Item module, the following fields were created:

  • Name
  • Description
  • Price
  • Category
  • Availability

These fields could be easily customized or deleted, but in our case, the AI-generated options fit well. The intuitive field assignment helps lay the foundation for the app’s data model, saving significant manual effort.

Step 4: Establishing Relationships Between Modules

Relationships between fields are vital for efficient data management and linking related information. Aire AI automatically set up the relationships in about a minute and a half, mapping the connections between the modules and their fields. It offers detailed explanations for each connection, allowing users to grasp the app’s logic quickly.

Relationships can be one-to-one or one-to-many, ensuring that related records are easily accessible. In traditional app development, creating such relationships manually would take a considerable amount of time, but Aire handles this with efficiency and precision.

Step 5: Creating User Interface (UI) Pages

After establishing the data model, it’s time to generate the app’s visual components. Aire AI created several UI pages in about fifteen seconds, including:

  • Home Page with metrics, charts, and record lists
  • Dashboard Page with charts
  • Record List Page and Record Page for each module

This step, which typically involves tedious manual work, was completed almost instantaneously. Aire’s capability to auto-generate UI pages enables quick deployment and customization.

Step 6: Previewing and Deploying the App

Once the UI was complete, it was time to preview the app in Corteza, a platform where users can view and refine their app before final deployment. The preview included record lists, pages, charts, and metrics, showcasing all the UI pages, the home page, and the dashboard.

Users can further personalize the app in Corteza by adding additional elements like calendars, maps, progress bars, or even connecting to third-party data sources and configuring workflows.

Step 7: Final Touches and One-Click Deployment

Returning to the Aire Builder, we could use its full range of functions to suggest additional modules, fields, and relationships if needed. However, the app was already set up perfectly, so we proceeded to deploy the app with a single click.

Conclusion

In just under five minutes, the Hotel Laundry Management app was built, deployed, and ready to go. Aire AI’s streamlined process enables non-technical users to create sophisticated applications without writing a single line of code. This efficiency not only saves days of manual labor but also allows businesses to quickly adapt and innovate with customized solutions.

For those looking to automate and digitize their hotel operations or any other business processes, Aire AI offers a compelling no-code platform that transforms ideas into fully functional applications in record time.

Build a Restaurant Management App in Under Five Minutes

See How Aire AI App-Builder Builds a Restaurant Management App in Under Five Minutes

In today’s fast-paced tech environment, creating a fully functional app often takes days or even weeks of development. But what if you could build a complete restaurant management application in under five minutes? That’s exactly what the Aire AI app-builder aims to achieve. Here’s a breakdown of how it works and how you can build an app in just a few clicks.

Getting Started with Aire

The journey begins in Aire’s intuitive Prompt-Builder, which allows users to create a clear prompt by simply filling in a few fields. For the purpose of this demonstration, the builder focuses on crafting a Restaurant Management app. In this case, the user only needs to specify the business type—“restaurant”—and let Aire do the rest. While more refined inputs could be provided to shape the app further, the beauty of Aire lies in its automated capabilities.

Setting Up Modules

Aire offers a choice of app scope, determining the data model’s size and complexity. By selecting a medium scope, the user ensures a balanced setup with a decent-sized data model. In seconds, Aire generates a list of essential modules for a restaurant management system:

  • Menu Item
  • Ingredient
  • Reservation
  • Order
  • Table
  • Staff

These modules reflect the typical core components required to manage restaurant operations. Users have the flexibility to delete, add, or adjust these modules manually or even let Aire suggest additional ones as needed.

Defining Fields

After modules come the fields, which define the specific data points each module will capture. By choosing a large scope for fields, Aire fills each module with relevant data types and field configurations. For example, in the “Menu Item” module, the system generates fields like:

  • Name
  • Description
  • Price
  • Category
  • Availability

Users can review these fields, make changes, or add custom fields to align with their specific requirements.

Establishing Relationships

A crucial step in app creation is defining relationships between different modules. Aire intelligently maps these connections, making it easy for users to look up related records later on. These relationships can be one-to-one or one-to-many, and Aire even explains the logic behind each connection, making it transparent for users to understand and adjust if needed. This mapping process takes only a minute and a half, but it’s an essential foundation for a robust data model.

Creating the User Interface

Once the data model is ready, it’s time to design the user interface. Aire’s automation continues to shine by creating key UI pages in about fifteen seconds. The generated pages include:

  • Home Page: Displays essential metrics, charts, and a record list.
  • Dashboard Page: Provides an overview with relevant charts.
  • Record List Pages: Allows users to browse records for each module.
  • Record Pages: Enables users to view individual records.

These UI elements come pre-configured, providing a complete visual experience that would normally take several days to design manually.

Deploying the App

The final step is previewing and deploying the app in Corteza, the deployment platform. After clicking the Preview App button, Aire takes a few minutes to render the app. In the preview, users can explore their app with all its generated record lists, record pages, charts, metrics, and module pages.

Corteza allows further customization beyond what Aire generates, including adding elements like calendars, maps, and progress bars. It’s also where workflows and third-party data integrations can be set up, making it a powerful and flexible platform for advanced app management.

Fine-Tuning in the Builder

For users wanting to make further adjustments, the Builder offers similar functionality to the Wizard used to initially create the app. This includes the ability to refine modules, fields, and relationships, with Aire continuing to offer intelligent suggestions throughout the process.

One-Click Deployment

After finalizing everything, the app can be deployed with a single click. The result? A fully functional restaurant management application built in under five minutes instead of days or weeks.

Conclusion

Aire AI app-builder demonstrates the power of AI-driven automation in app development. By simplifying the creation process and generating a complete data model, UI pages, and relationships, Aire enables businesses to save significant time and resources. Whether you’re managing a restaurant or another type of business, this tool offers a fast and efficient way to build sophisticated applications with minimal manual effort.

With Aire, what once took days now takes minutes, making it a game-changer for modern app development.

Build a Hotel Maintenance Management App in Five Minutes

See How Aire AI App-Builder Builds a Hotel Maintenance Management App in Five Minutes

In today’s fast-paced digital world, creating a fully functional app from scratch can be a daunting task. Typically, developers invest hours—or even days—building databases, connecting relationships, designing UI, and setting up workflows. But what if you could build an entire app in just a few minutes?

Welcome to Aire AI, a revolutionary app-builder that allows users to create complex applications in minutes with minimal input. In a recent walkthrough, we saw how a Hotel Maintenance Management app was built in under five minutes using Aire’s intuitive platform.

Step 1: Starting with a Simple Prompt

The first step in the process is using Aire’s prompt-builder. This feature allows users to enter the essential information about the type of app they want to create. While there are several optional fields to refine the request, in this case, only the word “hotel” was provided to test Aire’s capabilities.

The rest was left to Aire’s intelligent suggestion engine to handle. This simplicity allows users to quickly draft their app idea, leaving the intricate details to be filled in automatically.

Step 2: Adding Modules with a Click

Once the initial prompt was entered, the next step was to add modules. The user selected a medium scope, which guided Aire in choosing a decent-sized data model. In a matter of moments, Aire generated the following modules:

  • Room Type
  • Room
  • Reservation
  • Guest
  • Staff
  • Amenity

The generated modules were spot-on for a hotel management app. However, Aire also provided the flexibility to manually delete or add more modules or even have the AI suggest additional ones based on the app’s needs.

Step 3: Filling in Fields

With the modules in place, it was time to add fields. By selecting a large scope, Aire was tasked with populating each module with relevant fields. The AI automatically selected field types such as text, number, dropdown, and date/time. For example, the “Room Type” module included fields like:

  • Name
  • Description
  • Base Rate
  • Max Occupancy
  • Bed Type

This feature saves an enormous amount of time, as manually setting up fields and defining their types is often a time-consuming part of app creation.

Step 4: Defining Relationships

One of the standout features of Aire is its automated relationship mapping. Relationships link fields between related modules to allow users to view connected records seamlessly. This crucial step usually requires a deep understanding of the data structure and can be error-prone if done manually.

Aire generated these relationships automatically in just a minute and a half, providing a clear explanation for each one created. This transparency helps users understand how the app’s data is interlinked without needing in-depth technical knowledge.

Step 5: Generating UI Pages

With the data model finalized, the next step was to create UI pages. Aire quickly produced:

  • A home page featuring key metrics and charts
  • A dashboard page with visualizations
  • Record list pages and record detail pages for each module

Creating these manually would typically take days, but Aire completed it in just 15 seconds, eliminating tedious work and leaving users with polished, interactive pages.

Step 6: Deploying the App in Corteza

Once the app’s structure and UI were ready, the next step was to deploy the app using Corteza, a low-code open-source platform where Aire users can preview their apps. After clicking “Preview App,” the deployment took around three minutes. The result was a fully functioning hotel management app with record lists, pages, charts, and metrics.

Moreover, Corteza allows for further customization and adding elements like calendars, maps, progress bars, and more. Users can also set up workflows and connect their app to external data sources within Corteza for enhanced functionality.

Final Touch: One-Click Deployment

The final step involved returning to the Aire Builder, where users can make any final tweaks or suggestions. However, the app was complete and ready to be deployed with just one click.

The Verdict

In just under five minutes, Aire AI managed to create an entire Hotel Maintenance Management app—a task that would usually take days of manual effort. The platform’s intuitive design, intelligent prompt-builder, and automatic generation of modules, fields, relationships, and UI pages streamline the app-building process to a point where even non-technical users can quickly create functional applications.

Aire AI is a game-changer for businesses looking to create custom applications without the complexity of traditional development. By handling everything from data modeling to UI design and deployment, Aire drastically reduces the time and effort needed to bring app ideas to life.

If you’re in the market for a powerful, time-saving app-builder, Aire AI might be the solution you’ve been looking for.

Build a Facility Maintenance Management App in Under Five Minutes

See How Aire AI App-Builder Builds a Facility Maintenance Management App in Under Five Minutes

Building an app traditionally involves a lot of coding, designing, and configuring. But what if you could streamline this process and create an entire application in just five minutes? With Aire AI’s no-code app-building platform, you can do exactly that. In this walkthrough, we’ll explore how Aire AI can effortlessly create a fully-functional Facility Maintenance Management application.

Step 1: Define Your Business Type

To get started, we’ll begin in the Aire prompt-builder. This tool allows users to create a clear and concise prompt for Aire AI, guiding the platform in building the application. The builder offers various fields to refine the app’s prompt, but for simplicity, you can rely on Aire AI to make most of the decisions.

In our example, we only specified the type of business as a “Facility Maintenance Management Company”. By providing this basic information, Aire AI understands the core purpose of the app, laying a strong foundation for the modules and fields.

Step 2: Selecting and Adding Modules

After defining the business type, the next step involves creating modules. Modules are essentially the main building blocks of the app, which represent key components and processes.

Here, we selected a medium scope to let Aire generate a comprehensive set of modules. After a brief moment, Aire presented the following list of modules:

  • Maintenance Request
  • Client
  • Facility
  • Asset
  • Vendor
  • Work Order

If desired, users can customize this list by adding or deleting modules manually. Additionally, Aire AI can offer suggestions based on the context of the app’s purpose.

Step 3: Adding and Configuring Fields

Once the modules were created, it was time to fill them with fields. Fields serve as data entry points within each module, capturing details like text, numbers, dropdown options, dates, and more.

For this step, we opted for a large scope to generate a wider range of fields, which Aire then populated across all modules. For example, the “Maintenance Schedule” module was filled with the following fields:

  • Maintenance Type
  • Priority Level
  • Maintenance Description
  • Maintenance Status
  • Request Date
  • …and many more.

Similar to modules, fields can be edited, added, or removed as necessary. This flexibility allows users to tailor the app to their specific requirements.

Step 4: Defining Relationships

With the modules and fields in place, the next critical step is establishing relationships. Relationships allow data in one module to be connected with data in another, creating a cohesive and interactive experience.

For instance, a Work Order module might be related to both the Client and Asset modules, enabling easy retrieval of related records. Aire takes about a minute and a half to analyze and define these relationships automatically, saving time and ensuring logical connections between modules.

Step 5: Creating the User Interface

The data model forms the backbone of the app, but the user interface (UI) is equally crucial. Aire AI creates several pages to ensure the end user has a clear and interactive way to navigate the app. In our example, Aire built:

  • A Home Page featuring charts and metrics
  • A Dashboard Page for visual insights
  • Record List Pages for each module
  • Record Pages for detailed views of each record

Aire accomplishes all of this within seconds, transforming what would otherwise be a tedious, manual process into a quick and efficient task.

Step 6: Previewing the App in Corteza

With the core app ready, it’s time to preview it in Corteza—an open-source digital work platform. Previewing allows you to see the app’s layout and functionality firsthand. Aire AI takes a few minutes to generate the app preview, during which you can relax (or finish a coffee!).

Upon completion, the app in Corteza showcased the following elements:

  • Record lists and pages for each module
  • Charts and metrics on the Home Page
  • A fully-functional Dashboard

Corteza also allows additional customization, including the option to add elements like calendars, maps, progress bars, tabs, and more. It’s also where you can define workflows and connect to third-party data sources for more advanced integrations.

Step 7: Final Touches and Deployment

Returning to Aire, users can make any final adjustments using the Builder, which provides the same functionality as the initial Wizard. The Builder offers further suggestions for modules, fields, and relationships if needed.

Once satisfied with the app, a single click initiates the deployment, making the app instantly available for use.

Final Thoughts

In under five minutes, we’ve built a Facility Maintenance Management App using Aire AI’s no-code platform. By guiding you through defining the business type, adding modules and fields, establishing relationships, creating UI pages, and previewing and deploying the app, Aire streamlines the entire process. What traditionally might take days or even weeks of manual effort can now be done in mere minutes.

This example showcases Aire’s capability to rapidly prototype and deploy functional applications, empowering businesses to adapt and innovate at unprecedented speeds.

Build a Corporate Travel Management App in Under Five Minutes

See How Aire AI App-Builder Builds a Corporate Travel Management App in Under Five Minutes

Building a fully functional application can often be a time-consuming process, taking days or even weeks to complete. However, with advancements in AI-driven development platforms like Aire, creating an app has become significantly faster and more efficient. This article explores how to create a Corporate Travel Management app in just five minutes using Aire’s intuitive AI app-builder.

Step 1: Starting with the Prompt-Builder

The first step in the app-building process is to define your prompt in the Aire app-builder. The Prompt-Builder is a tool that lets you create a concise and clear description of your app. While it offers various fields to refine your input, you can also rely on Aire to auto-generate much of the setup.

For this demonstration, we only need to fill in the two most essential fields:

  • Type of Business: “Enterprise”
  • Type of Activity: “Corporate Travel”

The optional fields can be left blank for simplicity, but they are available for additional customization if needed.

Step 2: Adding Modules

After the prompt, it’s time to define the core modules for the app. Modules in Aire represent the different segments or functionalities of your app. For this example, we choose a “medium scope” to establish a decent-sized data model. Aire quickly generates the following modules:

  • Travel Request
  • Employee Profile
  • Travel Policy
  • Travel Booking
  • Expense Report
  • Itinerary

These modules look well-suited for a Corporate Travel Management app, but if necessary, you can manually add or delete modules or ask Aire to suggest additional ones.

Step 3: Defining Fields

With modules in place, the next step is to add fields to each module. Fields represent the specific pieces of information that each module will store. Here, we choose a “large scope” to see what Aire can come up with, knowing that we can always delete unwanted fields later.

For instance, in the “Travel Request” module, Aire generates fields like:

  • Origin City
  • Destination City
  • Departure Date
  • Return Date
  • Travel Purpose

Each field is created with appropriate types like text, number, dropdown, and date/time, along with customizable configurations. Again, you can review these fields and make changes as needed.

Step 4: Establishing Relationships

Now, Aire needs to map out the relationships between different modules and their fields. This step is crucial as relationships define how various parts of your app interact. Aire automatically establishes both one-to-one and one-to-many relationships based on the modules and fields defined earlier. The process takes just a minute and a half to complete.

A key advantage of Aire is that it explains the rationale behind each relationship it creates, allowing you to understand the logic behind these connections.

Step 5: Creating Visual Displays

With the data model complete, it’s time to focus on the user interface (UI) pages. Aire can automatically generate UI pages, including:

  • Home Page with metrics and charts
  • Dashboard Page
  • Record List Page for each module
  • Record Page for each module

Given the number of modules, creating these pages manually would be labor-intensive, but Aire accomplishes this task in about fifteen seconds.

Step 6: Previewing and Editing the App in Corteza

Once the app is built, it’s time to see it in action. Aire allows you to deploy and preview the app in Corteza, a platform that serves as the app’s live environment. It takes just three minutes to generate the app preview, where you can inspect all the record lists, pages, charts, and metrics.

Corteza offers additional customization options, such as adding calendars, maps, progress bars, and tabs. It also allows for workflow integration and connection with third-party data sources, enabling even more complex app functionalities.

Step 7: Finalizing and Deploying the App

If you’re satisfied with the app’s layout and data structure, you can deploy the final version with a single click. Alternatively, you can return to Aire’s Builder mode to explore more advanced suggestions for modules, fields, and relationships.

Conclusion

In just five minutes, Aire has created a comprehensive Corporate Travel Management app that would typically take days or even weeks to build manually. The app includes all essential modules, fields, and UI pages, along with properly mapped relationships. Aire’s automated app-building capabilities not only save time but also simplify the entire development process, allowing anyone to create functional, professional-grade applications with minimal effort.

By leveraging AI-driven platforms like Aire, businesses can streamline their app development processes, reduce costs, and focus more on innovation and growth.

Build an Expense Management App in Under Five Minutes

See How Aire AI App-Builder Builds an Expense Management App in Under Five Minutes

In the fast-paced world of app development, time and efficiency are crucial. Imagine creating a fully functional Expense Management app in under five minutes. With Aire AI’s app-builder, this is no longer a dream. Let’s dive into how Aire AI makes it possible to build robust applications effortlessly, even without deep coding expertise.

Step 1: Setting Up the Prompt in Aire

The process begins with the Aire prompt-builder, a powerful feature that guides users in creating concise and clear prompts for the app. The prompt-builder provides several input fields, allowing users to specify details about the app they want to create. However, even with minimal inputs, Aire AI can produce impressive results.

For this demonstration, the user opts to keep things simple, entering “enterprise” as the type of business and “expenses” as the activity. Aire’s flexibility also allows users to refine the prompt further if needed. But in this case, it’s left to Aire to handle the rest.

Step 2: Selecting Modules

Modules are the building blocks of any app, forming the core data structure. Aire AI provides an option to select the scope of modules based on the app’s complexity. By choosing a medium scope, the app-builder generates a suitable range of modules automatically. For the Expense Management app, Aire AI generates the following modules:

  • Expense Report
  • Expense
  • Expense Category
  • Expense Approval
  • Vendor
  • Project

The automatically generated modules cover key areas of the app. Users have the flexibility to add, delete, or refine these modules manually if needed.

Step 3: Adding Fields to Modules

With the modules established, it’s time to add the fields. Aire AI offers different scope levels for field generation. In this instance, selecting a large scope allows Aire to create a comprehensive set of fields for each module. For example, in the Expense module, the following fields are added:

  • Expense Description
  • Expense Date
  • Amount
  • Currency
  • Payment Method

These fields are complemented by a variety of field types, such as text, numbers, dropdown menus, and date/time fields. Users can inspect each field, remove unnecessary ones, or manually add new ones to suit specific needs.

Step 4: Establishing Relationships Between Fields

Relationships between fields and modules are essential for a cohesive app. Aire AI efficiently maps relationships, linking relevant fields to each other. These relationships can be one-to-one or one-to-many, enabling easy lookup of related records. During this process, Aire also provides explanations for each relationship to enhance users’ understanding.

Establishing relationships manually can be a time-consuming process, often requiring careful planning. However, Aire AI completes this step in approximately a minute and a half, resulting in a well-organized data model.

Step 5: Creating User Interface Pages

With the data model in place, the next step is to create user interface (UI) pages. Aire AI can automatically generate various UI elements, such as record pages and record list pages for each module, along with a home page and a dashboard. In mere seconds, Aire creates all these essential pages that users would typically spend days designing manually.

The generated pages include:

  • Home Page: Displays metrics, charts, and a record list.
  • Dashboard: Contains charts and summary information.
  • Record Pages and Lists: Individual pages for each module to manage and view records.

Step 6: Previewing the App in Corteza

Once the app’s structure and UI are complete, it’s time to preview it. The user chooses to deploy the app in Corteza, an open-source platform for building and managing web applications. After clicking the “Preview App” button, the system takes a few minutes to load the app.

Upon completion, the app is live in Corteza, complete with all the necessary pages, charts, metrics, and dashboards. Users can further customize the app in Corteza by adding additional features such as a calendar, maps, progress bars, and more. Corteza also allows for workflow additions and third-party data integrations, making it a versatile platform for app deployment.

Final Touches: The Builder Mode

The last step involves the Builder Mode in Aire. It offers the same functionalities as the initial Wizard mode but allows for further customization if users want Aire to suggest additional modules, fields, or relationships. In this case, the app builder is satisfied with the setup and proceeds to deploy the app with just one click.

Conclusion: A Game-Changer for App Development

Aire AI’s app-builder redefines the app creation process by enabling users to build complex, enterprise-level applications in just minutes. Through a series of intuitive steps, Aire handles everything from generating modules to establishing relationships and building UI pages.

Whether you’re a seasoned developer or new to app-building, Aire’s automated capabilities make the entire process faster and simpler, saving you days of manual work. With this Expense Management app built in under five minutes, it’s clear that Aire AI is a game-changer for efficient app development.