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Use Case

Automated content creation for podcasts

Generative AI models like Language Models (LLMs) and image generators can be leveraged for automatic content creation for podcasts in multiple ways. For instance, LLMs like ChatGPT could help script entire podcast episodes. Using an initial topic or set of questions, the AI model can generate fluid, engaging dialog for a podcast episode. Meanwhile, image generators could come into play for creating visually engaging thumbnails, slideshow materials or social media announcements related to the podcast. The AI could generate these visuals based on keywords, themes or summary of the podcast episode, significantly reducing manual effort.

Moreover, we could also use AI models to compose background scores or jingles specific to segments of each episode, creating a very personalized listening experience. Such implementations could open opportunities for high-frequency, customized podcast content creation on the go.

How to build with Clevis

Text Input

Get the podcast topic from the user

HTTP Request

Search for popular articles or blog posts related to the podcast topic

Prompt ChatGPT

Generate an outline or script for the podcast based on the retrieved articles

HTTP Request

Retrieve relevant audio clips or sound effects related to the podcast topic

Display Output

Display the generated outline or script, along with suggested audio clips, to the user

This example application built using Clevis is called 'Automated Content Creator'. It automates the creation of content for podcasts. Applications within the same domain, like auto-generating scripts for YouTube videos, can also be built using Clevis. The application follows a series of steps.

Firstly, Text Input is requested where the user provides the topic of the podcast. Right after, an Http Request is made to search popular articles or blogs related to the podcast topic. This helps in accumulating relevant and trending ideas for the podcast.

Then, the ChatGPT function uses the OpenAI's ChatGPT model to generate an outline/script based on the retrieved articles. ChatGPT's ability to write human-like text aids in creating a persuasive and engaging script. Subsequently, another Http Request fetches relevant audio clips and sound effects that complement the podcast topic. These additional resources enrich the podcast. Finally, the Display Output step shows the generated outline/script and suggested audio effects to the user for review. Thus, this Clevis based tool creates a seamless workflow to streamline the process of content creation for podcasts.

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