For many guides, the toughest challenge is getting discovered and cutting through the noise online. Even those who know what must be done can spend up to eight hours a day updating websites, posting on social media, and running email campaigns. Without consistent execution across these channels, visibility drops, and smaller operators risk falling behind competitors with full marketing team-missed opportunities that directly impact growth and bookings.

It was addressing this problem that Jack AI was born. From the start, Guidesly saw AI not only as a tool, but as a way to connect the silos that guides face every day—uniting bookings, data, content, client engagement, and marketing into one intelligent flow. The vision went beyond automation. It was about creating a true partner that works alongside guides, quietly handling the heavy lifting they don’t have time for.

Unlike general-purpose AI tools that require constant prompting and oversight, Jack AI works in the background on its own. It activates automatically after each trip, transforming raw data, photos, and videos into polished, ready-to-publish content across websites, social media, and email. Running serverless on AWS, it scales automatically to deliver consistent content at speed, allowing guides to focus on their trips rather than administrative work.

In this post, we walk through how Jack AI is built on AWS to power this end-to-end automation. We explore how services such as AWS Lambda, AWS Step Functions, Amazon Simple Storage Service (Amazon S3), Amazon Relational Database Service (Amazon RDS), Amazon SageMaker AI, and Amazon Bedrock come together to ingest trip media, enrich it with context, apply computer vision and generative AI, and publish marketing-ready content across multiple channels—securely, reliably, and at scale.