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IMZA Use Cases

IMZA.AI Use Case Examples

ChatBot Sample

Personal Diet Planning Chatbot

Did you know that a chatbot can replace a personal trainer and dietician?
With the increased usage of artifical intelligence (AI) chatbots like ChatGPT in our every day lives, a service that allows you to build chatbots depending on your needs comes very handy.
IMZA.ai is a Korean-based, user-friendly service that helps create task-specific LLM models and AI assistants to enhance both effectiveness and efficiency. Built based on ChatGPT and Claude services, it is easy to create app-like functionalities even for individuals who are not familiar with AI.
This time, IMZA was used to create a chatbot that provides personal diet details for anyone who desires to be on a healthy, balanced diet.

Chatbot Development

1.
Creating a New Assistant
2.
Creating Prompts
3.
Adding Prompts to the LLM Block

Using GPT Smartly to Organize Meeting Notes

Creating task automation bots using GPT or Claude is only one click away using IMZA. As a relatively new service, IMZA offers different features that are accessible for individuals from various fields, along with hobbyists who do not have proficient knowledge on app development.
Organizing meeting notes can be overwhelming, especially when several meetings happen in a single day. So, we decided to create a chatbot that organizes meeting notes.

Chatbot Development

1.
Creating a New Assistant
2.
Creating Prompts
3.
Adding Prompts to the LLM Block
4.
Inserting AI Models into the LLM Block
5.
Testing the Chatbot
6.
Chatbot Deployment
7.
Deploying the Chatbot via Email

College Course Recommendation Chatbot

One of the most prominent and fast growing AI user population is college students. A lot of students turn to AI for various areas like assignment tutoring, writing assistance, note taking, test preparation, and many more.
Preparing for the new academic year involves navigating through different academic paths and course planning. There are overwhelmingly a lot of courses available, and filtering through every single one of them requires a lot of time and effort. Even then, finding courses that fit everyone’s individual interest is tough.
As a student myself, asking the question “why don’t I turn to a chatbot to give me recommendations based on my academic needs?” marked the first step of developing a chatbot that I can effectively utilize for myself. To my surprise, it was extremely easy. Let me walk through my process step by step!

Chatbot Development

1.
Creating a New Assistant
2.
Creating Prompts
3.
Adding Prompts to the LLM Block
4.
Inserting an AI Model into the LLM Block

Personal Counseling Assistant

The IMZA AI service allows users who are not fully satisfied with GPTs or Claude 3 to create more sophisticated AI apps (web chat, mail bots, Slack bots, etc.) without any coding.
Sometimes, you just need a place to rant. You don’t want others to know your innermost thoughts, but you still want to open up and have a conversation. While you could create a counseling GPT and chat with a GPT bot, receiving replies via email can offer a comforting, pen-pal-like experience.
That's why I developed a counseling email bot that responds like a friend when you send in your concerns.

Developing a Counseling Email Bot through IMZA AI

1.
Log in to the IMZA AI service and create a new assistant.
2.
Set the Assistant Name: In the center at the top, enter "Counseling Email Bot" as the project name. Also set the title of the LLM Block to "Counseling Email Bot”
3.
Create a New Prompt - Create a new prompt to enable the "Personal Counseling Assistant" to operate. I’ve only entered the name so far, but I’m a bit unsure about how to write the prompt.
4.
Writing the Prompt - I kept it simple by outlining the role and guidelines as clearly as possible without overthinking it.
5.
Add Prompt to LMM Block :

CEO Report Email Assistant

As IMZA.ai is a company based in Korea, the email assistant was first specifically designed to provide the translated and summarized output in Korean. However, based on various ways to prompt and implement the models, the resulting output can be in any language.

Selecting a Sample Email

To test the email assistant, the content of an email from Acquire.com, a startup and small business M&A platform. Below is the text of the sample email:
Email Sample Quotation  
COMPANY OVERVIEW
This Shopify application offers a powerful promotion tool for e-commerce businesses, enabling them to increase average order value by offering various gift promotions such as "Buy One Get One" and "Free Gift With Purchase." It integrates directly with Shopify, providing seamless functionality with current themes and can be managed within the Shopify admin for user convenience. Its versatility makes it a popular choice for online merchants looking to incentivize purchases and enhance customer satisfaction.
With an impressive $1.86 million in ARR and 10% growth year over year, and 68% EBITDA, all while maintaining a 4.9-star rating with over 1,500 reviews on the Shopify Store, this application stands out as a leader in the market.

Company FAQ Chatbot

Being responsible for operations in the company means receiving a wide range of inquiries, from minor issues to questions about company expense policies. For straightforward tasks like providing bank account numbers, employment rules, Wi-Fi, and printer setup instructions, it would be beneficial to automate these processes.
Creating the chatbot that will reduce the workload with simple inquiries. So, Summer—Neptune Cloud’s Operations Head—created a company life chatbot for Slack that includes the company's mission, history, office guide, and more, utilizing IMZA. This chatbot has been utilized by our team members.

Chatbot Development

1.
Creating a New Assistant
2.
Creating Prompts
3.
Adding Prompts to the LLM Block
4.
Inserting an AI Model into the LLM Block
5.
Testing the Chatbot
6.
Chabot Deployment