AI-Powered Sticky Note Workflow

Target Audience

• Developers: Those looking to implement automated workflows with AI integration.
• Product Managers: Individuals seeking to streamline processes and improve efficiency with automation.
• Data Scientists: Professionals who want to leverage AI models for data analysis and insights.
• Business Analysts: Users who need to automate repetitive tasks and enhance productivity.
• Educators: Teachers aiming to utilize AI tools for educational purposes and student engagement.

Problem Solved

This workflow addresses the challenge of automating interactions with AI models and integrating them seamlessly into daily tasks. It allows users to:

• Efficiently generate responses: By automating queries to AI models, users can obtain quick and relevant answers.
• Reduce manual effort: Automating the process of asking questions and receiving answers minimizes the time spent on repetitive tasks.
• Enhance productivity: Users can focus on more critical activities while the workflow handles routine queries.

Workflow Steps

1. Manual Trigger: The workflow starts when the user clicks "Execute Workflow".
2. Set Input Values: Two separate inputs are set:
   • First input: "Tell me a joke".
   • Second input: "What year was Einstein born?".
3. LLM Chain Node: The first input is processed through a custom LLM chain node, which utilizes a prompt template to generate a response from the AI model.
4. OpenAI Chat Model: The response from the LLM chain is generated using the OpenAI chat model, specifically the gpt-4o-mini model.
5. AI Agent: The second input is processed through an AI agent that can utilize various tools, including a custom Wikipedia tool.
6. Wikipedia Tool: This tool queries Wikipedia for relevant information based on the second input, returning concise results.
7. Output Generation: The responses from both the LLM chain and Wikipedia tool are made available for further use or display.