Use cases
Text generation apps
Social package
When you publish a great blog post and want to share it across multiple social media platforms, creating unique LinkedIn, X, and Instagram posts can feel overwhelming. With no-code, you can create a “social package” app that generates a customized LinkedIn, X, and Instagram post with just one click, in the voice, tone, and structure that you want.
Here’s how it works:
Define your inputs
Use a File upload or a Text input where you can copy and paste the blog content directly.
Write your prompts
Create separate prompts for each social media platform with its own parameters and requirements.
For example, you may want your LinkedIn posts to sound more professional than your Twitter or Instagram posts. Consider including specific instructions for each platform, such as the desired length, tone, and any required hashtags.
Test it out
Take a sample blog post and generate social media posts using your prompts. You may need to tweak your prompts to get the results you want. Consider including instructions for voice, tone, length, and even specific emojis you want to include.
Format your output
In Output formatting, use @ to mention any prompts you
want the user to see. Organize this section so that it’s clear which
post is intended for LinkedIn, Instagram, or other platforms.
Deploy your app
Once you’re happy with the functionality and look of your app, deploy it in Writer so that everyone on your team can benefit from it.
Chat apps
Knowledge Graph
Knowledge graphs created via AI Studio aren’t accessible via the Writer Core app unless the KG is defined as part of a custom app.
Collecting customer stories, quotes, and spotlights is essential to growing your business. But finding the right one for a specific need can be difficult, especially when you have dozens or even hundreds of them. By creating a chat app, you can use the information in Writer’s Knowledge Graph to find the perfect quote or story for any use case.
To get started, set up a Knowledge Graph in Writer that contains all of your stories, quotes, and spotlights. Then set up the chat app.
Write a welcome message
This is the first message users will see when they’ll use your app. Include any background information about this app and instructions on how to use it. For example, you can explain that this app is specifically for finding customer stories and quotes.
Write instructions
Because this is a Knowledge Graph chat app, you don’t need to worry about adding instructions in the General chat mode section. In the Knowledge Graph mode instructions, include instructions for the model. This can be the context for the model to understand what this app does, and what types of answers it needs to provide. You may also want to include instructions on what to output if someone asks a question that isn’t specific to a customer story or quote.
This can be as simple as,
If you get a question that’s not related to customer spotlights or quotes, output: I don’t have any information on that.
Configure your app
For this scenario, you’ll want to deselect General chat mode under Configuration. You’ll also want to select the Knowledge Graph you set up with the customer stories and quotes, and deselect User can change a graph so users can’t accidentally switch to a different Knowledge Graph.
Test your app!
On the right, you can see what your welcome message looks like and test the types of answers you’ll get when you ask the app. Try a variety of questions to make sure you’re getting the answers you’re hoping for (and be sure to test questions that don’t have anything to do with customer stories or quotes)! Update the instructions until you’re happy with the answers.
Deploy your app
Once you’re happy with how everything looks, deploy your app to Writer so that everyone can use it.