Define your scope of action
Posted: Sat Dec 07, 2024 5:58 am
Below we explain step by step how to create your own personalized ai chatbot:
the first step in creating an ai chatbot is simple: determine its scope. What is your chatbot going to achieve? Before building it, your team should develop a chatbot strategy that includes the expected roi of your chatbot.
The purpose of your ai chatbot will determine what capabilities it will need, which will determine the platform you use.
If you use an extensible platform, the world is your singapore mobile phone number oyster. A well-designed ai chatbot can handle any conversational ai task you can dream of.
Once you're clear on the scope, it's time to choose a platform.
Choose a platform
there are many free ai chatbot platforms, for any need or use case. You can check out our list of the 9 best ai chatbot platforms for an overview.
When choosing a platform for your project, you should take into account a number of considerations. Make sure you choose a platform that:
it has a wide range of educational resources. There will always be a learning curve, so make sure you are well equipped for it.
It matches your intention. Don't choose a conversational ai platform specialized in customer service if you want a sales bot.
It includes a free tier, so you can try it before (or without) making a financial commitment.
Create your own chatbot
you've done it: you've found an idea for a chatbot, you've found a platform, and you're ready to create your own ai chatbot.
The ai chatbot you build will be totally unique: you will have your own vision and your own needs. Part of the process will be to become familiar with the platform and apply the knowledge acquired to the specific roadmap.
Integrate
if you want to connect your ai chatbot to another system or platform - such as hubspot, whatsapp, or your website - then part of your build process will include integrating your bot to the necessary systems.
If your ai chatbot is going to provide information about the products your company has in stock, you'll want to connect it to your internal source of truth, typically known as the knowledge base.
A knowledge base can be a table, document, or website that includes the information your ai chatbot will draw from.
For example, a hr chatbot. You will use a company's key policy documents as a knowledge base. When an employee asks how to handle a specific situation, the chatbot can use policy documents to inform its answer.
Testing and iteration
once you're done building your ai chatbot, it's time to improve it. Some creators forget to factor in testing and iteration time, but this is a crucial step to deploying a chatbot successfully.
Whatever ai chatbot platform you choose, it should have a simulator within the studio that allows you to practice conversations with your chatbot. This is the first step of testing that you will use throughout the build process.
Once the build is complete, you can send a sample version of your ai chatbot to your friends or colleagues via a url. You should do this to test the functionality of your bot before officially deploying it.
the first step in creating an ai chatbot is simple: determine its scope. What is your chatbot going to achieve? Before building it, your team should develop a chatbot strategy that includes the expected roi of your chatbot.
The purpose of your ai chatbot will determine what capabilities it will need, which will determine the platform you use.
If you use an extensible platform, the world is your singapore mobile phone number oyster. A well-designed ai chatbot can handle any conversational ai task you can dream of.
Once you're clear on the scope, it's time to choose a platform.
Choose a platform
there are many free ai chatbot platforms, for any need or use case. You can check out our list of the 9 best ai chatbot platforms for an overview.
When choosing a platform for your project, you should take into account a number of considerations. Make sure you choose a platform that:
it has a wide range of educational resources. There will always be a learning curve, so make sure you are well equipped for it.
It matches your intention. Don't choose a conversational ai platform specialized in customer service if you want a sales bot.
It includes a free tier, so you can try it before (or without) making a financial commitment.
Create your own chatbot
you've done it: you've found an idea for a chatbot, you've found a platform, and you're ready to create your own ai chatbot.
The ai chatbot you build will be totally unique: you will have your own vision and your own needs. Part of the process will be to become familiar with the platform and apply the knowledge acquired to the specific roadmap.
Integrate
if you want to connect your ai chatbot to another system or platform - such as hubspot, whatsapp, or your website - then part of your build process will include integrating your bot to the necessary systems.
If your ai chatbot is going to provide information about the products your company has in stock, you'll want to connect it to your internal source of truth, typically known as the knowledge base.
A knowledge base can be a table, document, or website that includes the information your ai chatbot will draw from.
For example, a hr chatbot. You will use a company's key policy documents as a knowledge base. When an employee asks how to handle a specific situation, the chatbot can use policy documents to inform its answer.
Testing and iteration
once you're done building your ai chatbot, it's time to improve it. Some creators forget to factor in testing and iteration time, but this is a crucial step to deploying a chatbot successfully.
Whatever ai chatbot platform you choose, it should have a simulator within the studio that allows you to practice conversations with your chatbot. This is the first step of testing that you will use throughout the build process.
Once the build is complete, you can send a sample version of your ai chatbot to your friends or colleagues via a url. You should do this to test the functionality of your bot before officially deploying it.