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Evaluate agent performance and prompt effectiveness using ViteVal's testing framework for systematic quality measurement. |
#### → [Telemetry Exporter](https://github.com/VoltAgent/voltagent/tree/main/examples/with-voltagent-exporter) |
Configure custom telemetry exports to send traces, metrics, and logs to external observability platforms like Datadog or New Relic. |
### Voice & Audio |
#### → [OpenAI Text-to-Speech](https://github.com/VoltAgent/voltagent/tree/main/examples/with-voice-openai) |
Convert your agent's text responses into natural-sounding speech using OpenAI's TTS API with multiple voice options. |
#### → [ElevenLabs Voice Generation](https://github.com/VoltAgent/voltagent/tree/main/examples/with-voice-elevenlabs) |
Generate high-quality, realistic voice audio from agent responses using ElevenLabs' advanced text-to-speech technology. |
#### → [xAI Voice Synthesis](https://github.com/VoltAgent/voltagent/tree/main/examples/with-voice-xsai) |
Integrate xAI's audio models to synthesize voice output from your agent's text responses with natural prosody. |
### Security & Storage |
#### → [JWT Authentication](https://github.com/VoltAgent/voltagent/tree/main/examples/with-jwt-auth) |
Secure your agent endpoints with JWT token verification, ensuring only authorized users can access your AI services. |
#### → [Supabase Integration](https://github.com/VoltAgent/voltagent/tree/main/examples/with-supabase) |
Leverage Supabase for user authentication and database operations within your agent tools, combining auth and data storage in one platform. |
#### → [Turso Database](https://github.com/VoltAgent/voltagent/tree/main/examples/with-turso) |
Persist agent memory and conversation history using Turso's distributed LibSQL database for fast, edge-optimized storage. |
#### → [VoltOps Managed Memory](https://github.com/VoltAgent/voltagent/tree/main/examples/with-voltagent-managed-memory) |
Use VoltOps' managed memory service through a REST adapter, offloading memory management for production-scale agent deployments. |
### Core Examples |
#### → [Minimal Starter Project](https://github.com/VoltAgent/voltagent/tree/main/examples/base) |
Get started with the simplest possible VoltAgent setup featuring a single agent and local development server. |
#### → [Output Guardrails](https://github.com/VoltAgent/voltagent/tree/main/examples/with-guardrails) |
Add validation rules and schema enforcement to your agent outputs, ensuring responses always conform to your required format. |
#### → [Lifecycle Hooks](https://github.com/VoltAgent/voltagent/tree/main/examples/with-hooks) |
Implement lifecycle hooks to add logging, authentication, or custom middleware at different stages of agent execution. |
#### → [Custom REST Endpoints](https://github.com/VoltAgent/voltagent/tree/main/examples/with-custom-endpoints) |
Extend your VoltAgent server with custom REST routes for additional functionality beyond standard agent endpoints. |
#### → [Retriever API](https://github.com/VoltAgent/voltagent/tree/main/examples/with-retrieval) |
Explore the basics of VoltAgent's retriever API for fetching relevant context to augment agent responses. |
#### → [Vercel AI SDK](https://github.com/VoltAgent/voltagent/tree/main/examples/with-vercel-ai) |
Integrate VoltAgent with Vercel's AI SDK for streaming responses and seamless deployment on Vercel's platform. |
## Getting Started |
Create a new VoltAgent project: |
```bash |
npm create voltagent-app@latest |
``` |
This scaffolds a TypeScript project with agent definitions, workflow examples, and VoltOps integration configured. |
VoltAgent is open source. Contributions are welcome on [GitHub](https://github.com/voltagent/voltagent). |
<|endoftext|> |
# source: VoltAgent__voltagent/website/blog/2025-08-08-agents-use-case/index.md type: docs |
--- |
title: AI Agents Use Cases - Real World Applications That Matter |
slug: ai-agent-use-cases |
authors: necatiozmen |
tags: [ai-agents] |
description: Explore real-world AI agent use cases across different industries. Learn how AI agents are transforming work and problem-solving. |
image: https://cdn.voltagent.dev/2025-08-08-agents-use-case/social.png |
--- |
AI agents are transforming how businesses operate. The days of simple chatbots are long gone. Today's AI agents can think, plan, and execute decisions to solve complex problems. Let's explore how companies use AI agents to get real work done. |
## What Are AI Agents? |
AI agents are intelligent programs that can: |
- Make decisions without human intervention |
- Learn from their actions |
- Interact with other tools and systems |
- Complete tasks from start to finish |
Think of them as digital workers that never sleep. They understand goals, make plans, and take action to achieve results. |
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