Chatbots are becoming more and more popular these days. They have been around for over a decade but have only just started to take off. The reason behind this change is because of the ease of use and low cost (compared to hiring an employee). They can be used in many ways including customer service, product support, sales and marketing etc. Chatbots are being used by companies like Walmart, Starbucks, Pokie Mate, Spotify and Netflix.
Selecting Chatbot Types
When it comes to chatbots, there are three basic types: the virtual personal assistant (VPAs), the interactive voice response (IVRs), and chatbots.
A VPA is an AI that can answer questions and provide information about a particular topic or product. It can also be programmed with human-like personalities so that it feels more like a person than just an algorithm.
A good example of this kind of technology would be Google’s Assistant; this platform allows users to ask questions by speaking into their phone/smartwatch and receive answers from the service provider in real-time via text message or voice recognition software built into their device’s operating system (OS). The same concept applies here – but instead of being limited by language barriers or cultural differences between humans and computers, these programs can respond intelligently based on how people speak today rather than what they might say tomorrow.
How to choose a good name for your AI Chatbot?
- Choose a name that is easy to remember.
- It shouldn’t be too long.
- Do NOT choose a name that is too similar to other brands in the market, as this could lead to confusion among your target audience and result in them not being able to find you.
Building a Home for Your Brand New AI Chatbot
To begin, you will want to create a home for your brand new AI Chatbot. This is where all the information about your chatbot will be stored and displayed, so it’s important that this area be organized in such a way as to make finding things easy.
To build this section of the app:
- Create a main page that shows all of the information about your chatbot. Include details like its name, description, industry sector (i.e., gambling), etc., along with buttons for everything else you want users to see when they visit your site or app. These could include making calls via phone lines or sending emails through Gmail accounts; also include any other services needed by potential customers before they even think about using them (such as setting up filtering & blocking software — Net Nanny). You might also want some sort of “get now” button which lets customers sign up for Welcome Bonus right away.
Deploying to a Channel
Deploying an AI Chatbot is a two-step process. You need to first deploy the chatbot to a channel and then test it on that channel.
To deploy your chatbot, go to the channel where you want people to be able to interact with your bot. Click on “Launch” in the top right corner of the window where it says “My Channels”. Then click on “Deploy” next to your selected channel’s name. This will take you through a series of steps that will allow users who are logged into Gmail or whatever other platform access specific areas of your application such as messaging or calls/texts.
Integrating with Google Home or Amazon Alexa
In the case with Pokie Mate, we missed the step. However, If you want to get your chatbot onto the most popular voice assistants, then integration with these two is the way to go. Both Google Home and Alexa have a large user base that can be converted into potential customers for your business. If you are going down this route it’s vital to know what each device has in common before getting started on your development project.
Google Home devices work best when they’re installed in private homes where they’ll only interact with one other device at a time (such as another family member). On the other hand, because Amazon Echo is available on so many devices such as refrigerators, ovens and even light bulbs they make great promotional tools during holidays or product launches where people have more freedom over how they use their smart home technology.
Flask, Heroku or the Wit.ai Platform – What to Exploit?
You can get started by creating your AI Chatbot using Flask, Heroku and the Wit.ai platform and train your chatbot to understand natural language.
As a developer, you have many ways to build an app. You could use something like Flask or Heroku and create a website with it. But what if your app requires more than just text input? What if it also requires voice input? Well, there are other solutions out there that can help you accomplish this goal: Wit.ai is one such solution that we’ve found useful in our own projects.
Why use Flask and Heroku together?
The benefits of using Flask and Heroku together are numerous. First, they both run on Python, which makes them a great fit for each other because:
- Flask is lightweight and easy to use.
- Heroku provides further security by allowing you to deploy your app in an isolated environment with its own virtual server (VPS).
What are the Wit.ai platform’s capabilities?
With the platform, you can build applications that can understand images. For example, if you want to build an app that reads out the weather forecast on your TV screen while also providing information about traffic conditions and other local events in your area, the Wit.ai platform will allow this by integrating its image recognition capabilities with a user’s existing application or website.
Flask and Heroku are powerful tools to build a web application. However, the Flask + Heroku combo is not the only solution. There are other alternatives out there that might suit your needs better (e.g., Phoenix, Volt). It depends on what you’re trying to build and how much time you have available on your hands.