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AI Agent Playground

Build multi-agent workflows visually. Add agents, see execution flow, estimate costs, and export your architecture.

10 Agent Types
100+ Use Cases
Live Simulation
Token Tracking

🤖 Available Agents (10)

100+ Real-World Use Cases

🎨 Your Workflow

Select a use case or add agents to build your workflow

How Multi-Agent Systems Work

1

Specialization

Each agent is specialized for a specific task (research, analysis, writing, etc.). This is more efficient than one "do everything" agent.

2

Orchestration

An orchestrator agent coordinates the workflow, passing outputs from one agent as inputs to the next, managing errors, and ensuring smooth execution.

3

Better Results

Multi-agent systems produce higher quality outputs than single agents because each step is optimized for its specific task.

Real-World Use Cases

🚀

Next.js App Builder

Build full-stack Next.js applications with best practices

Workflow:
Code Agent → Review Agent → Optimizer
🔒

Security Scanner

Scan for vulnerabilities and generate security reports

Workflow:
Security Agent → Analyzer → Writer
🤖

RAG Pipeline Builder

Build retrieval-augmented generation systems

Workflow:
Data Agent → Orchestrator → Analyzer
🧪

Unit Test Generator

Auto-generate comprehensive unit tests

Workflow:
Code Agent → Analyzer → Reviewer
📊

ETL Pipeline

Extract, transform, and load data pipelines

Workflow:
Data Agent → Orchestrator → Analyzer
🎨

API Documentation

Auto-generate beautiful API documentation

Workflow:
Research Agent → Analyzer → Writer

Performance Optimizer

Analyze and optimize application performance

Workflow:
Analyzer → Optimizer → Writer
🐛

Debug Assistant

Identify and fix bugs automatically

Workflow:
Analyzer → Debug Agent → Reviewer
☁️

CI/CD Pipeline Builder

Build continuous integration and deployment pipelines

Workflow:
Code Agent → Orchestrator → Writer

Ready to Build Your Agent System?

I can design and implement production multi-agent systems that scale to millions of operations per day.

Real example: Built a multi-agent system for document processing that handles 50k documents/day with 95%+ accuracy, saving $2M annually.