Monthly Archives: May 2021

Connect Amazon Lex chatbot on your website with no code

Blahbox + Amazon Lex

If you are using Amazon Lex to train your virtual assistant, you must have realized how easy it is. In a short period of time, you can have a virtual assistant based on Artificial Intelligence answering your clients’ questions.

Configuring questions and answers in Amazon Lex is very easy, but deploying your chatbot to your website can be really complicated.

To be able to do that, you need to have advanced knowledge in programming to make the connection with the API, to know how to deal with errors and to use suitable methods.

Also, you need to have skills to design a chat box, from its functionality to the UX, the integration with the API and the installation in the website.

With Blahbox, you can solve these issues with just a few clicks.

You can watch the following video to see what this is about:

You can find below my explanation, step by step, about how to create the first chat box in Blahbox:

First, you must have an account in Blahbox.

1. Go to

2. Then, click on the “Start for free” button.

3. Register using your Google or Facebook user. You can also register with an email if you wish to.

Create your first chat box

1. When you go into Blahbox for the first time, you have to click on the “New chat” button.

2. Then, you need to choose the option “For a WebSite”.

3. Write the name you want to give to your chat box and then click on “Go”.

4. Here, I recommend you to click on the button “Skip step, set up later”. I will explain later how to insert the credentials for Amazon Lex.

And that’s it! In that moment, you’d have your first chat box created. You can access the chat box from Blahbox’s dashboard.

Now, we’ll connect the chatbot to Blahbox. Below, I’ll explain the process step by step:

Basically, what we have to do is to find the following information in Amazon Lex to paste it in Blahbox:

1. User’s Credentials

2. Bot’s name, Alias and Version

3. Region

Link Amazon Lex with Blahbox

In order to link your Bot trained in Amazon Lex, you must enter into the NLP section of Blahbox’s dashboard:

1- Log into Blahbox.

2- Enter into the chat you wish to link with Amazon Lex.

3- Then, click on the option “NLP” from the side menu.

4- Select “Amazon Lex” from the options on the right side of the screen.

Amazon Lex Credentials

Once you get to this screen, you must follow the instructions below to obtain the information from AWS:

How can I obtain the User’s Credentials?

In order to obtain the user’s credentials, a new user must be created in AWS. I’ll explain to you how to do this.

Trending Bot Articles:

1. Chatbot Trends Report 2021

2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

4. An expert system: Conversational AI Vs Chatbots

1. Create a group

1.1- Go into the AWS Management Console.

1.2- Go into the IAM service (inside the “Security, Identity and Compliance” group).

1.3- Go to “Groups” from the side menu.

1.4- Click on the “Create New Group” button.

1.5- Give a name to the group (e.g. LexBlahbox) and then, “Next Step”.

1.6- Find the “AmazonLexRunBotsOnly” policy.

1.7- Tick the policy as is shown in the image above and click on the “Next Step” button.

1.8- Click on “Create Group”.

2. Create a User

2.1- Go to the “Users” option from the side menu.

2.2- Click on the “Add user” button.

2.3- Give a name to the user (e.g. Blahbox).

2.4- Tick the option “Programmatic access”.

2.5- Click on the “Next: Permissions” button.

2.6- Tick on the group created in step 1 of these instructions.

2.7- Click on the “Next: Tags” button.

2.8- Click on the “Next: Review” button.

2.9- Click on the “Create user” button.

2.10- You can download the credentials from the button “Download .csv”.

2.11- Save the following information: “Access key ID” and “Secret access key”.

2.12- Once the information is saved, click on “Close”.

2.13- Paste the “Access key ID” obtained in AWS in the field “Access key ID” of Blahbox’s screen.

2.14- Paste the “Secret access key” obtained in AWS in the field “Secret access key” of Blahbox’s screen.

You’re almost there!

How can I obtain the Bot’s name, Alias and Version?

1.1- Go into the AWS Management Console.

1.2- Go to the Amazon Lex service (inside the “Machine Learning” group).

1.3- Go into the bot you wish to link with Blahbox.

1.4- Click on the “Settings” tab.

1.5- You can find the name of the bot in the top left-hand corner.

1.6- Clicking on the option “Aliases”, you’ll be able to find the bot’s aliases.

1.7- From this screen, you’ll be able to obtain the Alias and the Version of the bot you wish to link with Blahbox.

1.8- You must paste the information that you obtained, in Blahbox’s NLP screen.

1.9- Finally, you must obtain the AWS Region where the bot which was created is located.

1.10- In the top right-hand corner of the AWS Console, you can see the region where the Bot is created.

1.11- You must select the same region in Blahbox’s NLP screen.

1.12- Then, click on “Go” and that’s it! You have your chat box linked with your Amazon Lex Chatbot!!!

Now you have your first chat box created in Blahbox linked with your chatbot created with Amazon Lex! Congratulations!

Now, the last step is designing the appearance of the chat box to obtain the appearance you want for your website.

When you go to the chat configuration section in Blahbox, you can find many features to configure: fonts, texts, avatars, colors, forms, etc.

Below you can find some screenshots that will show you how easy it is to configure the appearance of your chat box.

Avatar configuration. You can use a predefined image or upload yours

Edges of the header

Format and colors of the chat bubbles

Floating icon

You’re almost there!

Now you have to publish the chatbot widget with the “Publish” button.

And, finally, copy and paste in your website the code that Blahbox generates automatically to deploy the chat box to your website.

You can find the code by clicking on the option “Install” from the left navigator. You have to copy the code and paste it as it is between the tags <head> or <body> of each page of your site where you want your chatbot to be present.

Install your widget

And it’s ready!

In a short period of time you have your Amazon Lex chatbot running on your website with the shapes and colors you need!

Don’t forget to give us your 👏 !

Connect Amazon Lex chatbot on your website with no code was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Best 6 Chatbot Maker Platform to Build Your Chatbot

An automated response machine is not just an imagination, or things only can be seen in science fiction movies. With so much advancement in artificial intelligence, automation has seen a hike in the past decade.

Chatbots are examples of how powerful ai has become in personal as well as professional space. More and more brands and businesses are taking advantage of using a chatbot to use its potential working for them on autopilot. To put it in numbers, there are over 30,000 on Facebook.

Businesses learning about chatbots and their potential to benefit their business, the chatbot building market is also expanding. For a business or brand, it has provided options, but the confusion of having too many options is also frustrating. So here we bring you 6 chatbot platforms to ease up and help you in the process of choosing the best option for you.

1. Hubspot Chatbot Builder

One of the biggest names in the digital marketing space “HubSpot” offers chatbot services as well. After acquiring motion AI in 2017, HubSpot provides chatbot builder services that a person can use for free without skill or knowledge of coding. HubSpot chatbot feature is integrated with its marketing tools. These tools include forms, analytics, popup, and email integration of your site.

HubSpot has a free plan for its chatbot builder, but HubSpot also provides paid options with extra features. But the problem with HubSpot is that it provides too many options in its plans that go from $45 to $4000 per month with a choice of a custom bundle if someone wants more than that.

2. Intercom

Intercom describes itself as a Conversational Relationship Platform that allows you to create better customer relationships. Intercom is a powerful chatbot platform whose responses are based on user behavior and artificial intelligence. Intercom’s chatbot uses visitor browsing information data and automated tasks to provide more personalized interaction with their chatbot.

The downside of intercom is that it doesn’t allow its visitors to explore its features or anything at all about it unless they have an account or create one. Even pricing information is not available on their website upfront. You can talk with the chatbot for your queries, but it can be confusing at first, and compared to other platforms in this list, the intercom is most confusing for a new user to even navigate in their website.

3. Drift

Drift is a chatbot builder primarily focused on B2B companies, and they call themselves the “The Drift Revenue Acceleration Platform.” It has built its name in the B2B sector as its preferable chatbot platform. Because it provides elements like

  • Capture email
  • Get the phone number of the user
  • Lookup articles in your helpdesk
  • Automatically create tickets
  • Route conversations to live chat
  • Automatically send emails to the user (if you have their email)
  • Schedule a meeting
  • Or go to a different node in your Drift playbook

All these elements come in handy for a person working in the B2B sector. And its most highlighted feature is “scheduled meeting,” which automatically shows available dates for an interaction between two people. Drift also has its downs, like drift users often suffer from delays in messages, and Drift is also found unable to provide a rich media conversation between two people with photos, videos, attachments, etc.

Trending Bot Articles:

1. Chatbot Trends Report 2021

2. 4 DO’s and 3 DON’Ts for Training a Chatbot NLP Model

3. Concierge Bot: Handle Multiple Chatbots from One Chat Screen

4. An expert system: Conversational AI Vs Chatbots

4. ManyChat

Manychat is considered the best option for social media messenger chatbots, such as Facebook Messenger. Most of the chatbot platform allows automated responses when a user enters the query. Still, the great thing about manychat is that it also allows sending automated messages which helps growth in the audience for the business in sales and marketing.

Manychat allows a free option that only allows a user to use on Facebook Messenger. But its paid plans go from $10 per month to custom orders.

5. LiveChat

Live chat is an AI-based response chatbot building platform. As it goes by its name, live chat allows its users to use chatbots with automated responses side by side with live chat. In other words, live chat allows its users to use live chat and chatbot together to provide a balanced experience of AI and human touch.

Live chat has proved itself to be capable of providing an excellent experience for customization analysis and administration functions. Live chat is mainly preferred for websites. Live chat pricing goes from $16 per month to $50 per month. Livechat also provides a custom order option, but it doesn’t have a free plan.

6. Tidio

Tidio is a chatbot platform that is a well-known option to embed in a website. Even if its expertise lies in websites, it could be a great option to be considered to be used in social media platforms like Facebook Messenger. Tidio provides a step-by-step setup for its first-time user to make the experience smooth and informative. The interface provided by Tidio is clean and minimalist, and Tidio chatbot builder uses a flow-based building of the chatbot.

However, it also comes with its drawbacks. Tidio lacks the features of audio-video attachments and data validation. Tidio provides its plans from a free option to $18 per month for several plans that could be converted into $180 in annual plan plus two months free.

Here is a comparison between Chatbot Platforms.


There are many options for a chatbot builder, and we hope that you know which is the best option for you. With the help of the above table, you might have a real representation of all the features that are available in all the best options available. Please let us know your thoughts on this, and best of luck with your exploration of your best option.

Don’t forget to give us your 👏 !

Best 6 Chatbot Maker Platform to Build Your Chatbot was originally published in Chatbots Life on Medium, where people are continuing the conversation by highlighting and responding to this story.

Best practices to build a dialog in Watson Assistant

There are a lot of ways of doing something in Watson, so I have some questions about what is the best way of doing some things.

  • Entities with similar characteristics

Say, for example, I have the entities @ice_cream_flavors and @popsicle_flavors. Both entities have strawberry, chocolate and grape as values (in reality, let’s say there are a lot more equal values between the two). Is it best to keep them as separate entities? Or create @flavors and keep all flavors there? If so, how would the input validation look like if someone wanted to order an ice cream with a flavor only available to popsicles?

  • Reset dialog whenever the user wants to

If you want to have an option so the user can, at any time, stop the dialog, which in turn clear all context variables, what is the best way of doing so?

  • When to create a new node when using slots

Say, for example, you sell colored shirts and shirts with a picture stamped at the front. Everything about the shirts is the same, except that, with the colored shirts, you ask for the color, and for the other you ask for the picture they want stamped. Is it better to create a node for each type of shirt or create conditional slots that check which type of shirt it is and ask the appropriate question?

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