ChatBot is a platform that lets you create your own chatbots with no programming skills.
Design smooth conversational experiences to build better relationships with your customers. Send dynamic responses that encourage customers to chat and interact. Mix and match text, images, buttons, and quick replies to show off your brand, products, and services.
Use ChatBot on different platforms and channels using one-click integration (Facebook Messenger, Slack, LiveChat, WordPress, and more). Connect your chatbot to just about anything you can think of using open API, webhooks, and Zapier.
Based on our record, AWS Lambda seems to be a lot more popular than ChatBot. While we know about 277 links to AWS Lambda, we've tracked only 4 mentions of ChatBot. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Intercom, Solvvy, chatbot.com, helpshift etc the list goes on. Source: over 2 years ago
Engineering is definitely going to be the harder path to take to get into Ai but also more lucrative. I started off in UX design which is in high demand right now, everyone is looking for designers. Many places offer quick design certificates but do your research before picking one. Build up a portfolio of work that you've done. Play around with bot builder programs like IBM's Watson. Check out chatbot.com, they... Source: over 3 years ago
So my tips for you would be: create a personal website (I like squarespace), learn how add a bot to your site using programs like chatbot.com, start networking (LinkedIn is helpful), start building a portfolio of case studies, watch lots of youtube videos. Source: over 3 years ago
Dialogflow CX is the most advanced dialog model with a combination of intents, events and a state machine for every flow. However the interface is somewhat limited and a lot of features are expected to be done in your fulfilment backend with code that are available in the gui in watson or chatbot.com if you run your own backend server anyways and want to invest a bit in building the best solution possible, this... Source: about 4 years ago
In this tutorial, you will walk through the process of building, testing, and deploying a multi-agent AI system using LangGraph, Docker, AWS Lambda, and CircleCI. You will develop a research-driven AI workflow where different agents,such as fact-checking, summarization, and search agents, work together seamlessly. You will package this application into a Docker container, deploy it to AWS Lambda, and automate the... - Source: dev.to / 8 days ago
Teachers, freelancers, and inbox zero purists rejoice: I built EmailDrop, a one-click AWS deployment that turns incoming emails into automatic Google Drive uploads. With Postmark's new inbound webhooks, AWS Lambda, and a little OAuth wizardry, attachments fly straight from your inbox to your Google Drive. In this post, I’ll walk through how I built it using Postmark, CloudFormation, Google Drive, and serverless... - Source: dev.to / 14 days ago
Serverless architectures are revolutionizing software development by removing the need for server management. Cloud services like AWS Lambda, Google Cloud Functions, and Azure Functions allow developers to concentrate on writing code, as these platforms handle scaling automatically. - Source: dev.to / 24 days ago
In this application, we will create products and retrieve them by their ID and use Amazon DynamoDB as a NoSQL database for the persistence layer. We use Amazon API Gateway which makes it easy for developers to create, publish, maintain, monitor and secure APIs and AWS Lambda to execute code without the need to provision or manage servers. We also use AWS SAM, which provides a short syntax optimised for defining... - Source: dev.to / about 1 month ago
AWS CloudFront is the star of the show here. It caches static content (like media, scripts, and images) to ensure fast, reliable delivery. Other AWS services that run at the edge include Route 53 for DNS routing, Shield and WAF for security, and even Lambda via Lambda@Edge — giving you the ability to run serverless logic closer to the user. - Source: dev.to / about 1 month ago
Chatfuel - Chatfuel is the best bot platform for creating an AI chatbot on Facebook.
Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.
Landbot - An intuitive no-code conversational apps builder that combines the benefits of conversational interface with rich UI elements.
Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale
ManyChat - ManyChat lets you create a Facebook Messenger bot for marketing, sales and support.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.