Automating Content Transformation with N8N and Generative AI

In this video, Jason Hand discusses his innovative use of automation tools, specifically N8N, to enhance productivity in AI content transformation. He details the process of creating workflows that automate various tasks related to AI Tools Lab projects he works on. Initially, he describes a workflow designed to generate a set of artifacts from a video and its transcript. This involves creating episode images, moving files, and utilizing agents for content manipulation. However, Jason shifts the focus to additional utility from the content by sending follow-up questions to interview guests, capturing their answers in Airtable, and using this data to produce more content.

Jason elaborates on the automated systems that manage these tasks, including workflows that generate interview questions, send them to guests, and integrate their responses back into Airtable. From there, another system drafts a blog post combining transcript data and guest insights, stored in Google Drive, alongside a hero image. He demonstrates how tweaks, such as avoiding text in images, are addressed through prompt adjustments. Further efforts involve exploring different AI models like Gemini 2.0 and managing ongoing content requirements with markdown files in Astro. Through his walkthrough, Jason highlights the potential for automation in streamlining content production workflows.