How to Create a Conversational Chatbot Like Mitsuku?
Chatbots have garnered a fair amount of attention from businesses and customers alike. While customers love convenience, businesses acknowledge myriad advantages like round-the-clock availability, instant response, efficient customer service, and more.
There was a time when chatbot technology was unattainable for most small businesses. However, with a no-code chatbot builder from Appy Pie, anyone can create a chatbot, that too in minutes! Have you tried making one for yourself?
In this blog, we will talk about conversational AI, conversational chatbots and learn more about Mitsuku chatbots (now known more popularly as Kuki chatbots).
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Chatbots have become wildly popular. However, there are different types of chatbots that serve entirely different purposes. There are the typical button or menu-based, keyword-based chatbots, and then there are contextual or conversational chatbots that use NLP.
Some time ago, we published a blog that explores types of chatbots in detail and how to choose the perfect one for your business needs.
Today, however, we are going to talk only about one particular type of chatbot – conversational AI chatbots.
Conversational chatbots use natural language processing or NLP to engage the users and strike up conversations almost in a human-like manner. In fact, you can create just such a chatbot with Appy Pie Chatbot and see how it works?
What is a Mitsuku chatbot?
Mitsuku or Kuki chatbot was created by Steve Worswick, using Pandorabots AIML technology. Mitsuku is a conversational AI chatbot known for its human-like emotional intelligence. It has come to be known for talking to people in a very human way as the conversations reflect humor, empathy, and sometimes even some cheeky retorts.
The Pandorabots chatbot – Mitsuku is known for encouraging friendships with the users through normal conversations. In fact, many of the thousands of users who interact with Mitsuku do so out of loneliness instead of curiosity. True, technology has often been blamed for causing isolation, but AI programming has managed to ease isolation.
Mitsuku or Kuki chatbot is a five-time winner of the Turing test competition – Loebner Prize, bagging the title in 2013, 2016, 2017, 2018, and 2019 and holds a world record for it.
How to design a good conversational chatbot?
Once you have decided to create a conversational bot for your company based on NLP, you have set yourself up for great user engagement. However, not all conversational AI bots are as successful as Mitsuku AI chatbots.
What is it that makes some conversational bots fun and engaging for users while others just a means to an end?
Here are some tips and best practices that can help you to design an engaging and almost addictive conversational AI like the Kuki chatbot.
- Draft a crisp script
A script helps you pre-plan conversations between your AI chatbot and the user once they enter a query. However, you must remember that not all queries require a script – like in the case of an FAQ or a straightforward question that only requires a single response. However, others like transactional queries need a script where the bot will have to follow a certain flow of conversation to gather as many details as required to provide specific information.
You cannot have a one-size-fits-all script, as it will change according to the goals set for the chatbot and the buyer’s journey. To help you get started, here are some best practices you must follow while writing your chatbot script.
- Focus on the goals you set for your chatbot
- Write short and crisp messages
- Maintain clarity while conveying any information
For a conversational chatbot to be successful, everything it says must be easy for the user to understand. Irrespective of the goal you set for your chatbot, clarity is imperative. Make sure you use impeccable grammar, convey information clearly so that there is no scope for miscommunication.
Here are a few points to keep in mind while defining your writing style:
- Write a clear and unambiguous script
- Make your answers short and crisp
- Do not distract or confuse the users with too much information
- Divide your messages into smaller sections where possible
The bot’s personality is what makes conversations engaging. Mitsuku chatbots have humor, empathy, and a little bit of sass. Decide and define what kind of personality you want your conversational chatbot to have. Based on the chatbot personality of your bot, you then need to define its tone, the kind of language it will use, and its overall communication style.
It is important to have a balance while defining the personality of your bot. Too little and the bot will be boring, too much and it will be annoying!
Ways to build conversational AI
There are six ways or technical approaches to build conversational AI.
- Generative methods
- Ensemble methods
- Grounded learning
- Interactive learning
Rule-based conversational AI chatbots are trained according to pre-planned rules that drive how a user query is converted into responses, outputs, or actions.
The level of complexity may vary, but in general, rule-based designs are pretty simple to create. However, if the user query does not match the keywords or patterns in the pre-planned rules, your chatbot will fail to respond.
In the retrieval-based chatbots, a database of pre-defined responses is populated. Once the user inputs a query, the chatbot uses heuristics to come up with the best possible response from the database mentioned above.
The process of using heuristics to identify the most relevant response may be as simple as using keywords or as complex as AI and ML-based algorithms. Irrespective of the complexity of the process, a retrieval-based approach will only retrieve a response, not generate one.
The generative approach overcomes the limitations of the previous two approaches as it requires your chatbot design to be smart and creative enough to generate responses. There is no pre-planned response database or rules to draw the responses from. Instead, this approach requires massive conversation training data so that your conversational chatbot can learn to ‘generate’ new responses that resemble it.
As the name suggests, this approach involves some combination of rule-based, retrieval-based, and generative approaches to create a chatbot that can have a conversation on any topic.
When you build a chatbot with this approach, you essentially train it to choose one of the three approaches based on the specific situation. For example, it may use a rule-based approach to answer an FAQ, a retrieval-based approach to talk about the weather and the generative approach for non-specified use cases.
If you ask a chatbot about your favorite restaurant, it will identify the restaurant for its specialties. Asking a local food enthusiast may get you a recommendation on their favorite dish at the restaurant. And asking someone who loves celeb gossip may rave about all the celebrities who have eaten there.
This is the difference between your conversation with a chatbot and a person. The grounded learning approach is still an active research area, which is working on this aspect of conversational bots.
Language is meant to be interactive. People interact through language to come together and solve problems, and it is the practical needs that shape the evolution of language.
For conversational AI, however, interactive learning still remains an area of active study, even after decades of work in the field.
Advantages of using Appy Pie Chatbot – the DIY chatbot builder
It’s as easy as pie to create a chatbot with Appy Pie Chatbot. You can build a chatbot with our no-code chatbot builder and bolster up your customer support. Our platform offers multiple types of chatbots according to your specific needs, from inquiry to appointment, from item ordering to recruitment, and a whole lot more.
Here are some of the greatest advantages of using Appy Pie for making chatbots.
- Receive qualified leads
- Boost your customer experience
- Increase overall customer engagement
- Get customer insights
- Offer round-the-clock support
- Reduce costs of operation
Collect vital customer information and send it across to your sales team. These qualified leads can help your sales representatives follow up with better chances of conversion.
When you create a chatbot, you add efficiency to your system and reduce response time. It eventually boosts the experience your customers have with your website.
Our chatbot builder lets you build a chatbot that will resolve queries instantly. This feeling of instant gratification increases your customer engagement level manifold.
Using the analytics feature in Appy Pie chatbot maker, you gain deep insights into customer behavior and give them exactly what they are looking for in a chatbot.
Even when you are not around, your conversational chatbot lets you offer round-the-clock support to your customer, increasing retention.
By making chatbots, you reduce the need for big customer support teams. Naturally, your cost of operation will come down.
How to make a conversational chatbot?
You can go ahead and start building your conversational chatbot from scratch by writing copious amounts of codes. Or, you can do the sane thing and opt for Appy Pie Chatbot, the best chatbot builder.
To build your own chatbot with Appy Pie, you only need to follow the steps below, and your chatbot would be ready to be launched to your audience.
- Enter the name of your bot
- Personalize your bot
- Integrate the chatbot to your website
Type in the name of your bot. Don’t worry! You can change it later. Now, select the type of bot that best suits your ultimate goal of creating a bot.
You can change your chatbot script, add a logo, change the colors, and even the avatar of your chatbot. Set your chatbot apart from others.
All you need to do now is add the widget to your website, and you are ready to serve your customers with great efficiency.
Have you tried having a conversation with Mitsuku AI chatbot? How was your experience? Let us know in the comments section. I’d love to hear from you!