Voice agent

byPractice

Build a production-ready AI voice agent for local businesses. The product should help small businesses answer incoming phone calls automatically, qualify the caller, book appointments, answer common questions, and transfer urgent calls to a human when needed. Business type Target local businesses such as: Clinics Dentists Salons Spas Real estate offices Gyms Restaurants Service businesses Core goals Answer inbound calls 24/7. Greet the caller naturally. Detect caller intent. Answer FAQs from business information. Book, reschedule, or cancel appointments. Capture lead details. Escalate urgent or complex calls to a human. Send call summary to business owner by email/WhatsApp/SMS. Required features Voice conversation flow with natural interruptions. FAQ knowledge base. Appointment booking integration with Google Calendar or a calendar API. Lead capture form fields: Name Phone number Reason for call Preferred time Business hours handling. Missed-call follow-up. Call transcript and summary storage. Admin panel to update business info, FAQs, pricing, services, and working hours. Multi-tenant support so one system can serve many businesses. Analytics dashboard for: Calls answered Bookings made Leads captured Escalations Missed calls recovered Voice style The assistant should sound: Polite Friendly Professional Short and clear Good in noisy phone-call situations Technical requirements Build the app in a scalable architecture. Use clean modular code. Separate frontend, backend, and AI workflow logic. Include database models for businesses, calls, leads, appointments, FAQs, and users. Add authentication for business owners. Add an API for call handling and booking. Write setup instructions and deployment steps. Include environment variables template. Make the solution ready for SaaS expansion. Deliverables Please generate: Full source code. Database schema. API endpoints. Voice call flow logic. Admin dashboard. README with setup instructions. Example business configuration for a dental clinic. Acceptance criteria The AI should answer like a real receptionist. It should book appointments correctly. It should not hallucinate business details. It should ask clarifying questions when needed. It should hand off to a human when necessary. Example flow Caller: “Hi, I want to book an appointment tomorrow afternoon.” Agent: “Sure, I can help with that. May I have your name and preferred time?” Caller: “Rahul, around 3 PM.” Agent: “Thanks, Rahul. Let me check availability and book that for you.” Build this as a complete, working product with production-quality code.

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System Requirements

System Requirement Document
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Voice Agent System Requirements Document

Introduction

The Voice Agent project aims to develop a production-ready AI voice agent system tailored for local businesses. This system will handle incoming phone calls, qualify callers, book appointments, answer common questions, and escalate urgent calls to human operators when necessary. The target users include small businesses such as clinics, dentists, salons, spas, real estate offices, gyms, restaurants, and other service-oriented businesses.

System Overview

The Voice Agent system is designed to provide seamless call handling for local businesses. It operates 24/7, offering a natural and professional interaction with callers. The system will integrate with existing calendar solutions for appointment management and provide an admin panel for business owners to manage their information and view analytics.

Source Content Inventory

No authoritative content sources were provided for this project.

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Functional Requirements as Story Points

  • As a business owner, I want the AI to answer inbound calls 24/7 so that my business is always reachable.
  • As a caller, I want the AI to greet me naturally so that I feel comfortable interacting with it.
  • As a caller, I want the AI to detect my intent so that it can assist me effectively.
  • As a caller, I want the AI to answer FAQs using business information so that I get accurate responses.
  • As a caller, I want to book, reschedule, or cancel appointments through the AI so that I can manage my schedule easily.
  • As a business owner, I want the AI to capture lead details so that I can follow up with potential clients.
  • As a caller, I want urgent or complex calls to be escalated to a human so that my needs are addressed promptly.
  • As a business owner, I want to receive call summaries via email/WhatsApp/SMS so that I am informed about interactions.
  • As a caller, I want the AI to handle voice conversation flow with natural interruptions so that the interaction feels human-like.
  • As a business owner, I want an admin panel to update business info, FAQs, pricing, services, and working hours so that my information is always current.
  • As a business owner, I want multi-tenant support so that one system can serve multiple businesses.
  • As a business owner, I want an analytics dashboard to track calls answered, bookings made, leads captured, escalations, and missed calls recovered so that I can monitor performance.

User Personas

  • Business Owner: Manages business settings, views analytics, and receives call summaries.
  • Caller: Interacts with the AI for inquiries, bookings, and escalations.
  • Admin: Updates business information and manages system settings.

Core User Flows

  • Caller initiates call -> AI greets and detects intent -> AI answers FAQs or books appointment -> AI captures lead details -> AI escalates to human if needed -> Call summary sent to business owner.
  • Business owner logs into admin panel -> Updates business info and FAQs -> Views analytics dashboard.
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Visuals Colors and Theme

  • primary: #1A73E8 (a deep blue for trust and professionalism)
  • primary_light: #E8F0FE (a light blue for hover states and secondary UI)
  • secondary: #FF6F61 (a coral hue for emphasis and links)
  • accent: #FFD700 (a vibrant gold for CTAs and active states)
  • highlight: #FFA500 (an orange for notifications and active indicators)
  • bg: #FFFFFF (a clean white background)
  • surface: rgba(250, 250, 250, 0.8) (a light grey for card/panel backgrounds)
  • text: #333333 (a dark grey for primary text)
  • text_muted: #777777 (a softer grey for secondary text)
  • border: rgba(200, 200, 200, 0.2) (a subtle grey for borders)

Signature Design Concept

The Voice Agent's homepage will feature an interactive "Call Journey" animation. As users scroll, they will see a visual representation of a call being handled by the AI. The journey starts with a ringing phone icon, transitions to a friendly AI avatar greeting the caller, and concludes with a successful appointment booking or escalation to a human. This animation will use motion/react for smooth transitions and interactions, allowing users to click on elements to learn more about each step.

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Landing Hero Motion Brief

The landing hero will depict a phone transforming into a digital assistant avatar as it processes a call. The animation will loop every 10 seconds, showing the assistant greeting the caller, processing the request, and confirming an appointment. The scene will use layers to create depth, with the phone and avatar as the focal points. The animation will be built with CSS and motion/react, ensuring accessibility and responsiveness.

Interaction Model & Motion Direction

  • Intended Interaction Model: Parallax
  • The landing page will feature layered depth via scroll, with decorative elements translating at different speeds to create a dynamic storytelling experience. Real content will remain in normal flow, ensuring clarity and ease of navigation.

Non-Functional Requirements

  • The system must be scalable to accommodate multiple businesses.
  • It should maintain high availability to handle calls 24/7.
  • The architecture should support modular code for easy maintenance and updates.
  • Data privacy and security must be ensured for all interactions and stored information.
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Tech Stack

  • Frontend: React for Web
  • Backend: Python, FastAPI
  • Database: MySQL or MariaDB
  • AI Models: GPT 5.4 for user-friendly responses
  • AI Tools: Litellm for LLM Routing, Langchain
  • Local Orchestration: Docker, docker-compose
  • Server-side Orchestration: Kubernetes

Assumptions and Constraints

  • The system assumes integration with Google Calendar or a similar calendar API for appointment management.
  • It is constrained by the need to support multiple tenants, requiring careful management of business-specific data.
  • The system must comply with local data protection regulations.

Glossary

  • AI: Artificial Intelligence
  • FAQ: Frequently Asked Questions
  • SaaS: Software as a Service
  • LLM: Large Language Model
  • API: Application Programming Interface
  • UI: User Interface
Landing design preview
Login: Sign In
Admin Dashboard: View Tenants
Admin Dashboard: Manage Business Accounts
Business Settings: Update Info
FAQ Manager: Edit FAQs
Pricing Manager: Update Pricing
Services Manager: Update Services
Hours Manager: Update Hours
System Settings: Configure Multi-Tenant
Analytics: View System Metrics
Users: Manage Business Owners
Landing design preview
Login: Sign In
Admin Dashboard: View Tenants
Admin Dashboard: Manage Business Accounts
Business Settings: Update Info
FAQ Manager: Edit FAQs
Pricing Manager: Update Pricing
Services Manager: Update Services
Hours Manager: Update Hours
System Settings: Configure Multi-Tenant
Analytics: View System Metrics
Users: Manage Business Owners