Feedback Training App

A browser-based training app for managers to practice giving feedback to employees using realistic, simulated conversations.

Features

• Realistic Scenarios: Practice with various employee personas and difficulty levels.
• Interactive Chat: Converse with an AI employee that reacts in-character.
• AI Coaching: Receive structured feedback on your performance after each session.
• Export: Save your conversation and coaching feedback.

Tech Stack

• Framework: Next.js (App Router)
• Styling: Vanilla CSS (CSS Modules / Global Styles)
• AI: OpenAI API (GPT-5.x mini)
• Deployment: Docker

Getting Started

Prerequisites

• Node.js 18+ (for local dev)
• Docker (for containerized run)
• OpenAI API Key

Local Development

1. Clone the repository.
2. Install dependencies:

   npm install

3. Create a .env.local file with your OpenAI API key:

   OPENAI_API_KEY=your_key_here
   OPENAI_MODEL=gpt-4o-mini # Optional, defaults to gpt-4o-mini

4. Run the development server:

   npm run dev

5. Open http://localhost:3000.

Docker Deployment

1. Build the image:

   docker build -t feedback-trainer .

2. Run the container:

   docker run -p 3000:3000 -e OPENAI_API_KEY=your_key_here feedback-trainer

3. Open http://localhost:3000.

Configuration

• OPENAI_API_KEY: Required. Your OpenAI API key.
• OPENAI_MODEL: Optional. The model to use (e.g., gpt-4o-mini, gpt-4). Defaults to gpt-4o-mini.
• PORT: Optional. The port to run the server on inside the container. Defaults to 3000.