Template that identifies trends in a specified topic by generating targeted search queries, retrieving recent news articles, and analyzing the extracted information to summarize prevailing themes and patterns.
Step 1: Open the template
Launch Scade and go to the Explore section.
Use the search bar or tags to locate the template.
Click the template to load it onto your canvas.
Step 2: Understand the canvas and nodes
Identify the nodes on your canvas, you’ll see several blocks, with each representing a different AI models.
Zoom into a node to view its role. You can customize settings, prompts and connections to other nodes.
Observe how nodes are linked, where the output of one node flows into the input of the next, creating a seamless process.
Go to the Start node, as this is where you’ll set up your input data and initial configurations.
Step 3: Configure the template
Step 1: Define the topic
Enter or use the pre-filled topic in the Start Node.
Example topic: “beauty and makeup.”
Step 2: Fetch the current date
The workflow uses a Python Async Function node to retrieve the current date.
This ensures that the search results and trend analysis are based on the latest data.
Step 3: Formulate search queries
The Formulate Queries node uses ChatGPT to generate precise search queries based on the topic.
These queries are tailored to retrieve the latest and most relevant news articles about the given topic.
Step 4: Search for relevant news
The Search News (Perplexity) node uses a news analysis model to find and compile recent articles based on the formulated queries.
Outputs include the titles and links to these news articles.
Step 5: Extract trends
The Extract Trends (ChatGPT) node analyzes the collected news articles to identify key themes, patterns, and emerging trends.
The results highlight the most significant trends within the specified topic.
Step 6: View results
The End Node compiles and presents the trend analysis in a readable format.
This is the final output, summarizing the prevailing trends related to the topic.
Customization
The input topic can be changed to analyze trends in various fields.
The models and parameters used in query formulation and trend extraction can be adjusted for specificity or broader results.
Step 4: Enhance the flow
Build larger flows: Embed the current template into broader, customized flows for unique business needs.
Add more nodes: Browse the library of AI models and tools on the left to add extra nodes for greater customization.
Step 5: Use analytics and sharing
View analytics: Click the ‘Analytics’ button in the top left corner to view execution costs and times for each run.
Share your flow: Make your flow public by publishing it, or link it to other flows using an API. Read more about and the .Publishing your AI appUnified API
Subscription benefits: All models are covered by your Scade subscription, so no extra charges apply.