Perspective
Perspective AI appears to be a Next.js-based web application designed to provide AI-powered life coaching services. The project aims to leverage artificial intelligence to offer personalized advice, goal setting, and potentially habit tracking for users seeking personal development assistance.
Tech Stack
Frontend:
Next.js 14.2.12 (React framework)
React 18
TypeScript
Tailwind CSS for styling
Radix UI for accessible component primitives
Framer Motion for animations
Backend:
Next.js API routes
OpenAI API (v4.62.1) for AI-powered analysis
Development Tools:
ESLint for code linting
TypeScript for static typing
Vercel for deployment (inferred from .gitignore)
System Architecture Overview
Frontend Layer
Backend Layer
AI Integration Layer
Data Flow
User input is collected through the frontend interface (PerspectiveApp component).
The frontend sends a POST request to the /api/analyze endpoint.
The API route processes the request:
Validates and sanitizes input.
Sends the input to the OpenAI API for analysis.
Receives and processes the AI's response.
The structured analysis is sent back to the frontend.
The frontend displays the analysis results to the user.
Configuration and Environment
next.config.mjs: Configures Next.js settings (currently empty, allowing for future customization).
.env.local (not tracked in git): Stores environment variables, including the OpenAI API key.
components.json: Configures UI component settings and aliases.
Deployment
While not explicitly specified, the project structure suggests deployment on a platform like Vercel, which is optimized for Next.js applications.
Security Considerations
API key management through environment variables.
Server-side API calls to OpenAI, protecting the API key from client-side exposure.
Core Functionality
The core of the backend functionality does several important things:
a. It sets up the OpenAI client with the API key from environment variables.
b. It defines a POST route that accepts user responses.
c. It sends these responses to the OpenAI API with a specific system prompt and user message.
d. It uses function calling to structure the AI's response.
e. It handles errors and returns the structured response or an error message.
Product Development Suggestions
Core Features
User Management: Create a robust user authentication system to track progress and preferences.
Data Visualization: Utilize charts and graphs to provide clear insights into emotional trends.
Customizable Prompts: Allow users and therapists to tailor reflective prompts.
Functionality Extensions
Multilingual Support: Expand the analysis capabilities to accommodate various languages.
Wearable Integration: Incorporate physiological data from wearable devices for enhanced emotional analysis.
Peer Review: Implement a system for mental health professionals to validate AI-generated insights.
Technical Enhancements
Comprehensive Testing: Develop a thorough test suite to ensure product quality and reliability.
Privacy and Security: Implement advanced encryption and consider local processing options to protect user data.
Performance Optimization: Optimize API calls and caching strategies to improve response times.
Accessibility: Conduct an accessibility audit and make necessary adjustments to ensure the application is usable by everyone.