How to Create an AI Chatbot Using No-Code Platforms
With the promise of AI actually driving real world value coming to fruition, it is even more exciting that you can access cutting edge AI technology with no code platforms.
In today's digital landscape, AI chatbots are indispensable tools for businesses small and large. They enhance customer service, provide instant support, and can be tailored to your business processes. Traditionally, building an AI chatbot required extensive natural language processing and programming knowledge. However, no-code platforms like KorticalChat have simplified this process, making building your own AI chatbot accessible to everyone.
This guide will walk you through creating your intelligent AI chatbot using a no code platform. There are many chatbot platforms out there including microsoft AI builder but they are not as customisable and you need a degree in Azure permissions to even get started so we are going with the super easy to use KorticalChat as a guide to give you an understanding of the steps involved in the chatbot creation process.
Step 1: Define Your AI Chatbot's Purpose and Requirements
Before diving into the technical details, outline your AI chatbot's primary purpose. Consider the following:
Target Audience: Who will be using your AI chatbot? It is customers who have little knowledge of our business or employees to do a specific task.
Primary Function: What tasks should your AI chatbot perform? e.g. customer support, lead generation, answering user queries, generate sales emails, create linkedin posts
Chatbot Personality: Should your AI chatbot have a specific tone or personality? Most people choose friendly and professional and that is a great catch-all tone of voice but you can get more specific. We have instructed an AI bot for an antiques client to be eloquent like Stephen Fry and another one to use Scottish flair for a Scottish tourist site.
You can also give it examples so it knows how to generate responses more like you e.g. if you have a style that you like to respond to customers with, if you give examples of past emails that you have sent, then it will replicate your tone and style very well.
Step 2: Choose the Right AI Model for Your Chatbot
The beauty of going with a non cloud chatbot platform is that you can choose from all the large language models (LLMs) and choose the best model for your custom AI chatbot. There is no need to hire a machine learning expert, or code a python ai chatbot yourself, you simply select and test the best model to build your intelligent chatbot.
General Conversation AI Model: ChatGPT is definitely the chattiest of the models and GPT4 omni is the best at remembering context of the conversation and generally acting more human like in the chatbot conversation.
Content Generation AI Chatbot: Often Claude is the best for being more engaging and delivering better content for marketing and creating articles.
Custom AI Models: For large context then perhaps GPT4 turbo but often GPT4 omni is great and we are experimenting with the more cost efficient GPT4 omini mini and that is really good for well constrained AI tasks and much cheaper.
For more advanced users you may want to train your own LLaMA model, being open source you will need your own GPU to run it or fine tune a ChatGPT model, but to get started we recommend ChatGPT 4 omni.
Step 3: Incorporate Retrieval-Augmented Generation (RAG) for Accurate AI Chatbot Responses
If you are creating a chatbot from scratch this is often the most complex part, creating your own Retrieval- Augmented Generation (RAG). Why it is necessary, is that a RAG enhances your AI chatbot's ability to provide accurate answers by retrieving relevant information from a dataset before generating a response. It is here that you can add your own processes, product info, policies, FAQs etc..
1. Upload Data: Upload website links, documents, PDFs, or other relevant data to the platform.
2. Test the responses: You will be surprised what creeps in, out of date web pages, old forgotten processes, out of date stock etc... you can then exclude that content or if it is hard to find it, change the answers so the conversation flow replicates your human conversation.
3. Overwrite the answers: If for example you charge customers for returns and the chatbot response is - Yes we charge for returns the cost is £3.50 for 1 item up to a maximum of £10 -
While it may be correct you can use the overwrite function to change that response so that the AI chatbot can say -
Hey dear customer, due to the sizeable environmental cost of returns and our mission to give you the best products at the best price possible, we want everyone to be more conscious about how they shop online and thus we are charging for returns. We have put a lot of investment into creating better information on sizing so we are hoping we can help you choose the best size and fit for you.
Step 4: Build the AI Chatbot Interface
Now that you have built the customisation you need a chatbot for the customer or employee to interact with your prompt and knowledge base. These can be chat widget on a webpage to full screen chatbots for larger copy tasks. If you are using a cloud AI chatbot builder you will need to code up your own chatbot however KorticalChat provides a built-in chatbot UI, simplifying the design and deployment process:
1. Customise the AI Chatbot UI: In a few clicks, match the chatbot interface to your branding, including colours, fonts, and logo.
2. Greet your customers: Set your greeting and give them the instructions to set the conversation or task off to the perfect start, e.g. for customer service you may say 'Hi there, ask me anything about our products and installation process?'
Or for a task on marketing content generation from news article, you may say Hi, please paste the news article in here and I will create an article about our views and commentary for the website.
3. Test Your AI Chatbot: Test the AI chatbot within the platform to ensure it behaves as expected.
Step 5: Deploy and Monitor Your AI Chatbot
A really great advantage of using chatbots is that you get to understand your customer's frustrations better. What are the hurdles and what needs to be done next. For those that are using task based AI chatbots the great news is that your users will start using it for more tasks than the original purpose and that will guide your roadmap.
1. Deploy Your AI Chatbot: Once satisfied with the chatbot’s performance, deploy it on your desired platform (website, mobile app, etc.). It takes just a few lines of code snippet on your website header.
2. Monitor AI Chatbot Interactions: Use the insights tools and analytics to understand user queries, where they are getting stuck and need more information. The user conversations are a gold mine of information and can lead to large improvements in how to shape your website, your social posts etc...
3. Continuous Improvement: Regularly update the AI chatbot with new data and refine its responses based on user feedback.
Tips for Successful AI Chatbot Implementation
Start Simple with Your AI Chatbot: Begin with a basic chatbot and gradually add more functionality. You may want to integrate with your back-end ordering system or your CRM, and those are all possible, just start simple and go from there.
Seek User Feedback: As well as looking at the insights log, actively seek user feedback to understand pain points and enhance the AI chatbot’s performance. They will often say, why can't you tell me if this is a baggy size for example
Keep Your AI Chatbot Updated: Regularly update the chatbot’s knowledge base with the latest information, ensure that your own AI chatbot is retrained as often as you are updating the product catalogue or website information to make sure that you want it to be able to respond about.
Conclusion
Embedding artificial intelligence with your own custom chatbot using no-code platforms like KorticalChat is straightforward, thanks to their user-friendly approach and robust features. By following this guide, you can develop an AI chatbot that meets your needs and provides accurate, helpful responses to your users. With the right AI model, RAG integration, and a well-designed chatbot UI, your AI chatbot can become an invaluable tool for your business.
Get your free trial of KorticalChat here - and if you want to chat about it first reach out to me Barbara.Johnson@kortical.com (Co-Founder)
