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Use Case

Automated content curation for social media

Generative AI models like Language Model (LLMs) can curate social media content through automated generation of engaging articles or promotional posts based on trending topics, specific keywords or usernames. A model like GPT-3 can interpret prompts given to it then generate relevant and creative content that aligns with the defined parameters. For instance, it can help in code generation for automating posting across platforms.

Image generative AIs can curate content by creating catchy and visually appealing images or infographics that can be used in social media posts. For example, a machine learning model can be trained to generate images of certain categorizations such as 'comic-style motivational quotes' or 'sunset scenery with product placement'. These AI models can aid in the creation of unique and eye-catching visuals that enhances user engagement and interest.

How to build with Clevis

Text Input

Allow users to enter their desired topic or keywords for content curation.

HTTP Request

Fetch relevant articles or blog posts from online sources based on the user's input.

Display Output

Display a list of curated content to the user, including titles, summaries, and relevant images.

Prompt ChatGPT

Prompt ChatGPT to generate engaging captions or descriptions for the curated content.

Display Output

Display the generated captions or descriptions alongside the curated content.

This description outlines the functioning of an example application built using Clevis, a powerful tool for creating AI-based software. The given application serves for Automated Content Curation, specifically designed to facilitate and automate content generation for social media platforms. If you are interested in developing similar apps, Clevis can be an excellent choice.

The process begins when the user input the preferred topic or keywords from which they want content to be curated (Step-Text Input). After receiving the input, the system fetches relevant articles or blog posts from various online sources matching the inputted criteria (Step-Http Request).

Once appropriate content is pulled, the system displays a list of this curated content, which includes the titles, summaries, and any associated images (Step-Display Output). The application demonstrates its AI-Integration by prompting ChatGPT, an advanced language model developed by OpenAI (Step-ChatGPT). ChatGPT generates engaging captions or descriptions for the curated content.

In the end, the user is shown these AI-created descriptions or captions along with the curated content, making the content ready to be shared on social media platforms (Step-Display Output). This Clevis-built application entirely streamlines the process of manual content curation with its automated and AI-enabled functionality.

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