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

# Use Cases

> Real-world applications of GetProfile

## Overview

GetProfile enables AI applications to maintain persistent user profiles and long-term memory across conversations. Here are real-world use cases that demonstrate how different industries and applications can benefit from GetProfile's extraction and injection capabilities.

<CardGroup cols={2}>
  <Card title="Customer Support Bot" icon="headset" href="/use-cases/customer-support-bot">
    Support chatbots that remember user context and preferences
  </Card>

  <Card title="Adaptive Tutor" icon="graduation-cap" href="/use-cases/adaptive-tutor">
    Learning companions that adapt to each student's needs
  </Card>

  <Card title="Sales Copilot" icon="briefcase" href="/use-cases/sales-copilot">
    CRM assistants with account and contact intelligence
  </Card>

  <Card title="E-Commerce Assistant" icon="shopping-cart" href="/use-cases/ecommerce-assistant">
    Conversational product recommenders with style memory
  </Card>

  <Card title="Multi-Surface Assistant" icon="desktop" href="/use-cases/multi-surface-assistant">
    Personal AI that works across Telegram, web, and desktop
  </Card>

  <Card title="Knowledge Assistant" icon="book" href="/use-cases/knowledge-assistant">
    Internal AI assistants tailored to each employee
  </Card>

  <Card title="Game NPCs" icon="gamepad" href="/use-cases/game-npcs">
    AI-driven NPCs with personalized dialogue and quests
  </Card>

  <Card title="Profile Mining Service" icon="database" href="/use-cases/profile-mining">
    Extraction-first service for analytics and routing
  </Card>
</CardGroup>

## Common Patterns

All these use cases follow GetProfile's core pattern:

<Steps>
  <Step title="Extraction">
    GetProfile automatically extracts structured traits and memories from conversations, events, and interactions.
  </Step>

  <Step title="Storage">
    Profiles are maintained continuously, updating as new information becomes available.
  </Step>

  <Step title="Injection">
    Relevant context is automatically injected into LLM prompts via the proxy or SDK.
  </Step>

  <Step title="Impact">
    AI interactions become personalized, contextual, and more effective.
  </Step>
</Steps>

## Getting Started

Ready to implement one of these use cases? Start with the [Quickstart](/quickstart) guide, then explore the [Integration Options](/integrations/overview) to choose the right approach for your application.