1. Transactional Emails for User Interactions with AI Applications


    Transactional emails are a key component of user interaction with AI applications. They are used to communicate important information back and forth between the application and the user, such as password reset links, order confirmations, notifications of AI interaction outcomes, etc. To integrate transactional emails into an AI application, you'll need an email service that can send emails programmatically.

    Amazon Simple Email Service (SES) is a cost-effective, flexible, and scalable email service that enables developers to send mail from within any application. You can use it for transactional emailing, which fits well with AI-driven applications that require such capabilities for communicating with users.

    In the following Pulumi program example written in Python, we will set up an AWS SES Template, which defines the body of an email, and an Identity Notification Topic to automate actions based on specific email events like bounces or complaints. We'll be using Pulumi's AWS package pulumi_aws to define these resources.

    First, we import the necessary Pulumi modules and set up the AWS provider. Then we create an aws.ses.Template resource which defines the content of the email template. Next, we create an aws.ses.IdentityNotificationTopic which enables us to manage what to do with delivery failures or complaints. This is useful for improving deliverability and handling errors programmatically.

    Below is the detailed Pulumi program to set up a simple transactional email system:

    import pulumi import pulumi_aws as aws # Create an SES email template # This template can be used to send emails that have a consistent format # but with fields that are populated dynamically based on user interactions. email_template = aws.ses.Template("aiAppTemplate", name="AIApplicationTemplate", html="<p>Hello, {{name}}. Your recent interaction with our AI application has an update.</p>", subject="AI Application Interaction Update", text="Hello, {{name}}. Your recent interaction with our AI application has an update." ) # Create an SES Identity Notification Topic to handle bounces, complaints, and deliveries. # Amazon SNS topics can be used to trigger Lambda functions, queue messages, etc. # Here we would deal with bounced emails or any complaints. bounces_topic = aws.sns.Topic("bounces") complaints_topic = aws.sns.Topic("complaints") # Associate these topics with an SES domain identity # You would replace 'your-verified-domain.com' with your SES verified domain. domain_identity = aws.ses.DomainIdentity("exampleIdentity", domain="your-verified-domain.com") # Set the domain identity to use the created SNS Topics for bounces and complaints bounces_notification = aws.ses.IdentityNotificationTopic("bouncesNotification", identity=domain_identity.id, topic_arn=bounces_topic.arn, notification_type="Bounce" ) complaints_notification = aws.ses.IdentityNotificationTopic("complaintsNotification", identity=domain_identity.id, topic_arn=complaints_topic.arn, notification_type="Complaint" ) # Export the email template name and the SNS Topic ARNs for external use pulumi.export("email_template_name", email_template.name) pulumi.export("bounces_topic_arn", bounces_topic.arn) pulumi.export("complaints_topic_arn", complaints_topic.arn)

    Remember to replace your-verified-domain.com with the domain you have verified with AWS SES. Domains must be verified before they can be used to send emails via SES.

    This program defines the resources needed for a basic transactional email setup in AWS using Pulumi. When deployed, it can be a part of a larger AI application infrastructure that communicates with users based on their interactions. This approach can automate email communications, sending updates, notifications, or alerts based on specific application events or user actions.

    Please be aware that before running this Pulumi program, your AWS account needs to have an Amazon SES domain identity already set up and verified to be used for sending emails. Also, it requires appropriate AWS permissions to create and manage these SES resources, as well as permissions to publish to SNS topics when notifications occur.

    If you haven't configured your Pulumi CLI with AWS credentials, you can follow the official Pulumi AWS Setup Guide.

    To run this Pulumi program, save the code to a file (for instance main.py), ensure you have Pulumi installed and configured correctly, and then simply execute pulumi up within the directory of your program. Pulumi CLI will take care of deploying the defined resources to your AWS account.