# Product Requirements Document (PRD) for PhoneMate

## 1. Document Purpose

This document outlines the product vision, user requirements, and high-level features for PhoneMate. It guides the backend development of a microservices-based API platform (developed using FastAPI) that will support the Figma-designed front-end without including any front-end details.

## 2. Product Overview

**PhoneMate** is an API-driven backend solution tailored for small UK-based businesses (handyman, pet care, pest control, garages/mechanics, HVAC teams) that need a virtual AI assistant to handle phone calls and schedule appointments while the business owner is occupied. The backend will expose APIs for authentication, call handling, scheduling, payment processing, and reporting.

## 3. Target Market & Audience

- **Market:** United Kingdom (initially) with plans for expansion into other European regions.
- **User:** Small business owners who require an efficient, API-based scheduling and call-handling service.

## 4. User Role & Onboarding

- **Single User Role:**
  - Business Owner (admin) who configures services, manages availability and scheduling, and monitors performance.
- **Onboarding & Setup Flow:**
  - **Signup/Sign-In:** Secure registration and authentication endpoints.
  - **Phone Setup:** API to select or forward phone numbers, integrating with telephony providers.
  - **Bot Personality Selection:** Choose from a library of pre-defined AI assistants with subtle personality differences.

## 5. Key Features (API Microservices)

### 5.1. Call Handling & AI Bot Integration

- **Telephony Integration:**
  - Endpoints for configuring and managing phone numbers.
  - Integration with Retellai for AI bot creation and managing phone-based interactions.
  - Integration with Twilio for call routing and forwarding.

### 5.2. Scheduling & Availability Management

- **Scheduling API:**
  - Endpoint for setting business availability (in UK timezone).
  - API endpoints for booking management, including creation, update, and cancellation of call appointments.

### 5.3. Services Management

- **Service Setup:**
  - Fixed list of service categories (e.g., handyman, pet care) with API endpoints for basic management and updates.

### 5.4. Payment Processing

- **Payment API:**
  - Integration with Stripe or Lemonsquishy in a pay-as-you-go model.
  - Endpoints and webhooks for managing transactions and tracking account balances.

### 5.5. Dashboard & Reporting

- **Analytics & Reporting APIs:**
  - Endpoints that aggregate data for upcoming schedules, call volumes per service, and payment metrics.
  - Reporting APIs to deliver insights for business performance and user engagement.

### 5.6. Profile & Order Management

- **User Profile API:**
  - Endpoints allowing the business owner to update information, manage services offered, and review historical booking data.

## 6. Non-Functional Requirements

- **Performance:**
  - API endpoints should target sub-1000ms latency for critical operations.
- **Security & Compliance:**
  - All API calls must use Bearer token authentication (using OAuth2/JWT via FastAPI).
  - Ensure secure communication (HTTPS) and encryption of data at rest and in transit.
  - Adhere to GDPR and relevant UK data protection regulations.
- **Scalability:**
  - A modular, microservices architecture allowing future expansion (e.g., multilingual support for Spanish, German, and French).
- **Reliability:**
  - Ensure high availability and robust error handling across all services.

## 7. Future Roadmap

- **Multilingual Support:**
  - Extend API functionality to support additional languages as the service expands.
- **Advanced AI Capabilities:**
  - Evaluate enhanced in-house AI features or additional third-party integrations based on market needs.
- **Plug-and-Play Architecture:**
  - Maintain a flexible, plug-and-play design to accommodate new third-party services (e.g., analytics, advanced monitoring).

## 8. Success Criteria

- **Adoption:**
  - Seamless API integration with the front-end already designed in Figma.
- **Performance:**
  - Consistent sub-1000ms response times under load.
- **Scalability & Reliability:**
  - Robust and efficient handling of an increasing number of API requests as user adoption grows.
