Since ChatGPT became well-known in late 2022, there has been a widespread discussion about the impact of generative AI. These advanced computer models can generate diverse content, ranging from text and images to music through the use of uncomplicated, non-technical prompts.
The recent technological advancement that allows machines to read, write, and create content like humans has sparked debates among real people regarding its impact. Optimists view it as a significant opportunity, while others predict that they will lose their jobs due to AI.
Amidst ongoing discussions, businesses of various sizes are rapidly integrating generative AI into their operations to enhance data analysis, communicate with employees and customers, and the automation of processes that traditionally require human involvement. Moreover, new AI-powered startups and products are constantly emerging to address the rising demand for tools that use AI to help businesses.
This article will explore the emerging opportunities to incorporate AI into software applications. It will illustrate how no-code platforms like Bubble can easily integrate with tools like ChatGPT and DALL-E to create innovative and robust applications.
From Complex to Easy: Redefining AI Integration in Software
Thanks to advanced AI tools, as mentioned earlier, apps can now better understand vague and nuanced inputs, allowing them to provide more thorough results. In the past, software applications functioned as input/output machines, strictly following formal logic when translating prompts into actions. However, these new technologies empower computers to process real human language, understanding its complete meaning, along with the writer’s intent and sentiment.
Here are a few examples of innovative apps where users have integrated AI into their core functionality.
- AI Dungeon: An application that uses GPT-3 to generate interactive stories that allow players to actively participate. Players can input their choices and actions to which AI responds in real-time, resulting in a unique and personalized storytelling experience.
- RunwayML: A user-friendly application that enables designers and artists to create and experiment with generative models like DALL-E without coding knowledge.
Why Create an AI-driven Application Without Coding?
No-code enables users to create fully functional applications using a visual drag-and-drop interface, eliminating the need for writing complex code. This user-friendly visual interface speeds up software development, making it more accessible and affordable for individuals without coding experience.
No-code platforms are equalizing the playing field for organizations of varying sizes, allowing them to create AI-based applications without the need for expensive specialized engineering, data science expertise, or extensive coding knowledge. For a comprehensive understanding of no-code, read our blog titled, “What is No-Code and How Does It Revolutionize Development?”
Exploring AI Capabilities for Integration into No-code or Bubble Apps
Generative AI is a versatile tool that produces various texts and multimedia assets for users. This means you can input requests and generate different outputs based on the functionality and the type of content you want to create – be it visuals, audio, text, code, etc.
AI can be used for various purposes within your app:
- Create Original Content: Your app can use AI to generate a variety of content from blog posts and industry reports to bid proposals, itineraries, or even children’s stories. It challenges traditional marketplace apps by allowing AI to create those things instead of connecting users with human experts.
- Analyze Information: AI can help your app to interpret information in different formats, such as summarizing documents, reviews, text, images, and videos to flag and identify specific items, as well as refining text for improved consistency.
- Decision Making: Integrate AI into your app to assist in decision-making. It includes personalized recommendations, creating plans and strategies, and predicting future conditions.
- Interact with Users: Improve user interaction by Incorporating chatbots into the app. These tools will assist users in addressing questions about the platform or even function as the core service, providing visual counselors, advisors, trainers, and more.
Limitations in AI-Based App Building
Despite the rapid evolution of AI, developing an AI-powered app requires careful consideration of challenges.
Creating Effective Prompts: The precision of AI results is closely tied to the input prompts. It is important to have confidence in your application’s performance by using the appropriate prompt text to generate meaningful results. You can easily do manual testing using various tools like ChatGPT enable you to experiment with diverse prompt phrasing until a desired and consistent outcome is achieved.
Cost: Tools like ChatGPT have relatively low costs per unit. However, several factors, such as long prompts, long outputs, multiple interactions, and a larger user base can escalate expenses quickly.
Misleading or Harmful Responses: AI models are unpredictable, often referred to as Black Box can expose AI-generated results directly to users without human vetting could be risky. Sometimes, the content could be offensive. To mitigate these risks, you can add human safeguards, warnings, or even use AI tools to filter out inappropriate material into your app.
How to Create an AI-based Application on Bubble Without Coding Skills?
In app development, our top choice is Bubble.io, primarily due to its versatile nature. Learn more about the capabilities of Bubble.io in our blog, “What you Can/Can’t Do with Bubble?”
For developing an app, the first step is to configure an API call within the API connector to enable communication with OpenAI. Then, we will create a page that includes the user interface and the essential logic that allows the user to input their unique requirements and generate a draft of their blog post. The detailed steps are discussed below
Step 1: Setting Up the API Connector for OpenAI
Authentication:
- Go to the API connector, add another API, and name it “Open AI.”
- Select “Private key” in the header.
- Enter your API key in the key value field.
Setting Up the Call:
- Expand the API call and name it “Create Chat Completion.”
Set the method as POST to the https://api.openai.com/v1/chat/completions endpoint. You have to specify the content-type as Application/JSON in the header parameter.
Setting Up the Request Body:
The Request body contains four keys:
- Model (string).
- Max_tokens (integer).
- User (string).
- Messages (array).
Initializing the Cell:
- Configure Parameters (marked as Private – set to GPT 3.5 – turbo) and input some test values.
- Input values for Tone, audience, max-tokens, topic, system prompt, and User-id.
- Select options to include errors in response and Capture response headers.
Step 2: Create a Draft Page
- Design a User interface with three main sections: New draft, Draft results, and Saved results.
- Generate the draft of a blog post with the help of AI.
- Save the Draft.
Find Out If No-Code Is a Good Fit for Your AI Application.
Read our blog, “Empowering Businesses with No-Code Development: A New Era of Innovation” to explore how startups or businesses can harness the power of no-code for quicker and more efficient app development.
