> ## Documentation Index
> Fetch the complete documentation index at: https://docs.thinnest.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Examples & Use Cases

> Step-by-step tutorials for building production-ready voice agents with thinnestAI. Each example can be set up in under 10 minutes.

# Examples & Use Cases

Learn how to build real-world voice agents by following these complete, step-by-step tutorials. Each example includes a full system prompt, tool configuration, knowledge setup, and testing tips.

> **Quick Start**: Every example in this section can be set up and running in under 10 minutes. Just follow the steps, paste the system prompt, assign the tools, and test with a phone call.

***

## Available Examples

### [Customer Support Agent](/docs/examples/customer-support)

Build an inbound voice agent that handles product questions, troubleshooting, and returns. Includes FAQ knowledge base integration and automatic ticket logging.

**Best for:** SaaS companies, e-commerce, product support teams

***

### [Appointment Booking Agent](/docs/examples/appointment-booking)

Create a voice agent that checks calendar availability, books appointments, and sends confirmations via SMS and email.

**Best for:** Medical clinics, salons, consulting firms, service businesses

***

### [Lead Qualification Agent](/docs/examples/lead-qualification)

Deploy an agent that qualifies inbound and outbound leads using the BANT framework, scores them, and routes hot leads to your sales team.

**Best for:** B2B SaaS, real estate, insurance, financial services

***

### [Order Management Agent](/docs/examples/order-management)

Handle order status inquiries, modifications, and return requests over the phone with identity verification and real-time order lookup.

**Best for:** E-commerce, retail, subscription businesses

***

### [Survey & Feedback Agent](/docs/examples/survey-agent)

Conduct outbound phone surveys, collect NPS scores, and record structured feedback at scale using campaigns.

**Best for:** Post-purchase feedback, market research, customer success teams

***

### [Real Estate Agent](/docs/examples/real-estate-agent)

Build a property inquiry agent that matches caller preferences to listings, schedules showings, and warm-transfers serious buyers to human agents.

**Best for:** Real estate agencies, property management companies, brokerages

***

## How Each Example Is Structured

Every tutorial follows the same format so you can get up and running fast:

1. **What you'll build** — A quick overview of the use case and what the finished agent does.
2. **Setup steps** — Model selection, tool assignment, and knowledge configuration.
3. **Full system prompt** — A complete, copy-paste-ready prompt optimized for voice conversations.
4. **Testing checklist** — Specific scenarios to test before going live.
5. **Tips for improvement** — Ideas for taking your agent to the next level.

## Before You Start

Make sure you have:

* A thinnestAI account ([sign up here](https://thinnest.ai))
* At least one phone number assigned to your account
* API keys configured for your chosen LLM provider (OpenAI or Anthropic)

```bash theme={null}
# You'll need these configured in your thinnestAI dashboard:
OPENAI_API_KEY=sk-...        # For GPT-4o examples
ANTHROPIC_API_KEY=sk-ant-... # For Claude examples
```

## Need Help?

If you run into issues while following any example, check the [Troubleshooting Guide](/docs/troubleshooting) or reach out to our support team at [support@thinnest.ai](mailto:support@thinnest.ai).