Artificial intelligence

To submit a template to the Serverless Patterns Collection, submit an issue with the following information.

**IMPORTANT**
Patterns are intended to be primarily IaC-focused implementations of 2-4 AWS services, with minimum custom code. They should be commonly used combinations that help developers get started quickly. If you have a utility, demo, or application, submit these to the [Serverless Repos Collection](https://serverlessland.com/repos) instead.

**ONLY SUBMIT ONE PATTERN CHANGE PER PR**. Multiple patterns or files spanning multiple pattern directories will be automatically rejected.

Patterns may take up to 4-6 weeks to review, test, and merge but there is no SLA and can take significantly longer due to other work the team has.

**To learn more about submitting a pattern, read the [publishing guidelines page](https://github.com/aws-samples/serverless-patterns/blob/main/PUBLISHING.md).**

1. Use the model template located at https://github.com/aws-samples/serverless-patterns/tree/main/_pattern-model to set up a README, template and any associated code.

2. THIS PROCESS HAS BEEN SIMPLIFIED. All the information below must be provided in the "example-pattern.json" file cloned from the model **

Note the following information for the model:
- Description (intro.text) should be a 300-500 word explanation of how the pattern works.
- Resources should like to AWS documentation and AWS blogs related to the post (1-5 maximum).
- Author bio may include a LinkedIn and/or Twitter reference and a 1-sentence bio.

You must ensure that the sections of the model README.md are completed in full.

## GitHub PR for template:

Start with PUBLISHING.md and the _pattern-model directory, then review the required fields in example-pattern.json. The issue does not identify a specific AI pattern, AWS services, files, or implementation to change. Done would mean completing the model README, template, associated code, and submission information for one pattern, followed by a PR link.

Written by the indexing model from the issue text.