Application Development Requirements Marketing Email Generator

• Build a serverless application that generates a marketing email based on structured user input using Amazon Bedrock.

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Inputs (structured)

• Product name
• Target audience
• Key product features
• Tone (e.g., professional, casual, enthusiastic)
• Optional: desired length or email sections (subject line, intro, body, CTA)

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Non-functional requirements

• Serverless architecture: use AWS Lambda for compute and API Gateway for the REST API.
• Secure Bedrock invocation: Lambda assumes an IAM role with least-privilege permissions limited to the Bedrock actions and specific models.
• Model parameter control: set parameters like maxTokens and temperature to bound response length and variability.
• Consistent output formatting: enforce a predictable schema or template (for example, JSON with subject, body, and cta) so the UI can parse and display results reliably.

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Architectural overview (high level)

• Front end: static web UI (HTML, CSS, JS) hosted in an S3 bucket (or S3 + CloudFront). The browser renders the UI and collects user inputs.
• API layer: client-side JavaScript calls a REST API hosted by API Gateway.
• Compute: API Gateway routes requests to Lambda. Lambda assembles the structured prompt, sets model parameters (for example maxTokens), and calls Amazon Bedrock using the AWS SDK.
• Response: Bedrock returns generated text; Lambda returns it to API Gateway, which sends it back to the browser. The browser parses and presents the formatted email.

• S3 website hosting serves static assets (HTML, images, CSS, client-side JS) without provisioning servers. Use CloudFront in front of S3 if you need TLS, custom domains, lower latency, or caching.

• This combination creates a fully serverless backend that scales automatically. Keep prompt assembly and Bedrock API calls inside Lambda to protect credentials and enforce IAM controls.

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Recommended resource mapping

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Prompt structure and model control

System: You are an expert marketing copywriter. Produce concise, persuasive marketing emails.

User:
{
  "productName": "Acme Smart Mug",
  "audience": "office workers who commute",
  "features": [
    "keeps coffee hot for 4 hours",
    "built-in temperature display",
    "lightweight, leak-proof"
  ],
  "tone": "friendly and professional",
  "sections": ["subject", "intro", "body", "cta"],
  "format": "json"
}
Instructions: Output a single JSON object with keys: "subject", "intro", "body", "cta". Keep each field under 120 words.

{
  "maxTokens": 512,
  "temperature": 0.6,
  "stopSequences": ["\n\n"]
}

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Example Lambda flow (pseudocode)

// Lambda handler (conceptual)
exports.handler = async (event) => {
  const input = JSON.parse(event.body);
  const prompt = buildPromptFromInput(input); // merge product, audience, features, tone
  const modelParams = { maxTokens: 512, temperature: 0.6 };

  // Call Bedrock via AWS SDK (pseudocode)
  const response = await bedrockClient.invokeModel({
    modelId: "your-model-id",
    prompt,
    ...modelParams
  });

  const generated = parseModelResponse(response); // enforce schema
  return {
    statusCode: 200,
    body: JSON.stringify(generated)
  };
};

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Typical UI flow (end-to-end)

1. User fills text fields: product name, short description, audience, tone, and optional desired length.
2. User clicks Generate — the client sends a POST request to the API Gateway endpoint.
3. API Gateway invokes Lambda with the structured input.
4. Lambda assembles the prompt, sets model parameters, and calls Amazon Bedrock.
5. Bedrock returns generated text in the expected format.
6. Lambda returns the structured output to API Gateway.
7. The browser receives the JSON and renders the marketing email (subject, intro, body, CTA).

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Tips for reliable outputs

• Use explicit output formatting (prefer JSON) to avoid ambiguous plain-text parsing.
• Limit variability with temperature when you need consistent messaging.
• Use maxTokens to bound response length and protect downstream UI layouts.
• If you need multiple variations, request N outputs in one call or call the model multiple times with the same prompt and different seeds.

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Links and references

• Amazon Bedrock docs: https://docs.aws.amazon.com/bedrock/latest/userguide/what-is-bedrock.html
• AWS Lambda: https://docs.aws.amazon.com/lambda/latest/dg/welcome.html
• Amazon API Gateway: https://docs.aws.amazon.com/apigateway/latest/developerguide/welcome.html
• Hosting static sites on S3: https://docs.aws.amazon.com/AmazonS3/latest/userguide/WebsiteHosting.html
• CloudFront: https://docs.aws.amazon.com/cloudfront/index.html