Creating Text Templates in Pareto's AI Studio
The video demonstrates how to create text templates in Pareto's AI Studio, using an example of a template for generating Instagram post descriptions. It shows how to set up inputs, the prompt, and customization options to create a functional and efficient template.
Context: The video starts by showing how a task performed in the AI Copilot chat (generating Instagram descriptions) can be turned into a reusable template. This allows automating recurring tasks and sharing optimized workflows with other users.
Creating the Template: In the AI Studio, a new text template is created. You define the title, the type of template (text), the AI models available to the end user, and the required inputs.
Inputs: In the example, the only input defined is the "goal" of the post, which is a short text field. The video explains that additional inputs, such as target audience, can be added to refine the template. Each input must have a clear description to guide the user.
Prompt: The prompt is the instruction that guides the AI in generating the text. In the example, the prompt defines the context ("advertising expert") and the task ("create Instagram post description options based on the goal"). The video emphasizes the importance of a well-written prompt and that it can be improved based on results.
Testing the Template: After saving the template, it’s tested with an example goal. The AI-generated result is displayed, showing the different description options created.
Iteration and Improvement: The video highlights that the template can be improved based on the results. You can adjust the prompt, add new inputs, or include advanced steps to refine the process.
Simplicity and Efficiency: The video emphasizes the simplicity of the template creation process and how these templates can automate daily tasks, making work more efficient.
This is the practical step-by-step guide to creating text templates in Pareto's AI Studio, showing how to configure the inputs, the prompt, and the customization options to generate high-quality results.
