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---
title: "Profile Use Cases"
description: "Common patterns and applications for user profiles"
sidebarTitle: "Use Cases"
icon: "lightbulb"
---
## Personalized AI Assistants
The most common use case: building AI assistants that truly know your users.
**What profiles provide:**
- User's expertise level (adjust technical depth)
- Communication preferences (brief vs detailed, formal vs casual)
- Tools and technologies they use
- Current projects and priorities
**Example prompt enhancement:**
```typescript
const systemPrompt = `You are assisting ${userName}.
Their background:
${profile.static.join('\n')}
Current focus:
${profile.dynamic.join('\n')}
Adjust your responses to match their expertise level and preferences.`;
```
**Result:** An assistant that explains React hooks differently to a junior developer vs a senior architect.
## Customer Support Systems
Give support agents (or AI) instant context about customers.
**What profiles provide:**
- Customer's product usage history
- Previous issues and resolutions
- Preferred communication channels
- Technical proficiency level
**Benefits:**
- No more "let me look up your account"
- Agents immediately understand customer context
- AI support can reference past interactions naturally
```typescript
// Support agent dashboard
async function loadCustomerContext(customerId: string) {
const { profile } = await getProfile(customerId);
return {
summary: profile.static, // Long-term customer info
recentIssues: profile.dynamic // Current tickets, recent problems
};
}
```
## Educational Platforms
Adapt learning content to each student's level and progress.
**What profiles provide:**
- Learning style preferences
- Completed courses and topics
- Areas of strength and weakness
- Current learning goals
**Example adaptation:**
```typescript
// Profile might contain:
// static: ["Visual learner", "Strong in algebra, struggles with geometry"]
// dynamic: ["Currently studying calculus", "Preparing for AP exam"]
const tutorPrompt = `You're helping a student with:
${profile.static.join('\n')}
Current focus: ${profile.dynamic.join('\n')}
Adapt explanations to their learning style and build on their strengths.`;
```
## Development Tools
IDE assistants and coding tools that understand your codebase and habits.
**What profiles provide:**
- Preferred languages and frameworks
- Coding style and conventions
- Current project context
- Frequently used patterns
**Example:**
```typescript
// Profile for a developer:
// static: ["Prefers TypeScript", "Uses functional patterns", "Senior engineer"]
// dynamic: ["Working on auth refactor", "Recently learning Rust"]
// Code assistant knows to:
// - Suggest TypeScript solutions
// - Use functional patterns in examples
// - Provide senior-level explanations
// - Connect suggestions to the auth refactor when relevant
```
## Knowledge Base Assistants
Internal tools that understand each employee's role and responsibilities.
**What profiles provide:**
- Department and role
- Projects they're involved in
- Access level and permissions context
- Areas of expertise (for routing questions)
**Example:**
```typescript
// HR assistant that knows:
// - Employee's team and manager
// - Their location/timezone
// - Recent PTO requests
// - Benefits elections
const response = await hrAssistant.answer(
"When is my next performance review?",
{ profile: employeeProfile }
);
// Can answer with specific dates, manager name, etc.
```
## E-commerce Recommendations
Personalized shopping experiences beyond basic recommendation engines.
**What profiles provide:**
- Style preferences
- Size information
- Past purchases and returns
- Budget range
- Occasions they shop for
**Example conversation:**
```
User: "I need something for a wedding next month"
// Profile knows: prefers classic styles, size M, budget-conscious,
// previously bought navy suits
|