AI App of the Week 3 - OpenAI-o1 Investment App (Chain Prompting)
AI Summary
Summary of Video Transcript
- The video demonstrates building a “Get Rich Quick” app that suggests investment strategies based on user input.
- Users input their monthly income, expenses, and select an investment vision and intelligence level (GPT-40, GPT-3.5-mini, or GPT-3.5-preview).
- The app uses chain prompting to generate detailed investment strategies and visualizes them in a dashboard.
- The front end is built using Next.js and Chakra UI components.
- The backend logic uses Node.js with Express and integrates with the OpenAI API for generating investment suggestions.
- The app’s UI is designed to display user inputs, a dropdown for intelligence level selection, and a dashboard for investment suggestions.
- The video includes setting up the front end and backend, chaining prompts, and handling JSON responses.
- The backend logic involves three chained prompts:
- Calculating disposable income.
- Recommending investment allocations based on the user’s investment vision.
- Recommending specific investment vehicles based on the user’s portfolio strategy.
- The app also integrates image generation using the Replicate API with the Flux-Schnell model to visualize investment visions.
- The video concludes with testing different investment visions and intelligence levels, showcasing the app’s functionality.
Detailed Instructions and URLs
- No specific CLI commands, website URLs, or detailed instructions are provided in the summary.
Tips
- The app uses chain prompting to provide context-sensitive responses.
- The front end is built with Next.js and Chakra UI for a responsive design.
- The backend uses Node.js and Express to handle API requests and responses.
- The OpenAI API is used to generate investment strategies based on user input.
- The Replicate API with the Flux-Schnell model is used for image generation.
Additional Notes
- The video does not include any self-promotion from the author.
- The summary focuses on the technical aspects and features of the app being built.
- The app’s functionality is demonstrated through various test cases with different investment visions and intelligence levels.