Video Content
Advanced Steps in Tess AI's AI Studio
Advanced steps are optional but powerful features within Tess AI's AI Studio that let you add more complex functionalities to your AI templates. They're useful when you need the AI to process information from multiple sources before generating the final result. Imagine, for example, that you want to create a template that generates a product description from a PDF with information about it. Simply inputting the PDF isn't enough; the AI first needs to read and interpret the PDF content. This is where advanced steps come in.
Examples of advanced steps include:
PDF text extraction: Extracts raw text from a PDF.
Image reading with OCR (Optical Character Recognition): Extracts text from images within a PDF.
Reading selected pages of PDFs: Allows you to specify which PDF pages the AI should process.
Web scraping: Extracts information from web pages. This can include anything from reading a specific article to collecting product data on an e-commerce site.
Google search: Performs Google searches and uses the results as input for the AI.
You define a sequence of actions: the user provides an input (e.g., a PDF or a URL), the AI executes the corresponding advanced step (e.g., text extraction or web scraping) and then uses the extracted information to generate the final result based on the prompt you configured.
It's important to remember that each advanced step adds a step to the process, which can increase processing time. Therefore, it's crucial to use advanced steps only when necessary, choosing the type of step that best fits your needs. The video also emphasizes the importance of integrating advanced steps into the AI prompt so that it effectively uses the processed information. In other words, it's not enough to just add an advanced step; you need to instruct the AI on how to use the data it provides.
