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

# Basic Team Example

> Complete example of a content creation workflow with multiple agents

## About Example Scenario

This example demonstrates a content creation workflow where a research agent gathers information about AI trends, and a writer agent creates a blog post based on that research.

## Team Configuration

* **Mode**: Sequential (default)
* **Agents**: Research Specialist + Content Writer
* **Workflow**: Research → Write
* **Context Sharing**: Automatic between tasks

## Full Code

```python theme={null}
from upsonic import Agent, Task, Team

# Create specialized agents
data_analyst = Agent(
    model="anthropic/claude-sonnet-4-5",
    name="Data Analyst",
    role="Data Analysis Expert",
    goal="Analyze data and extract insights"
)

report_writer = Agent(
    model="anthropic/claude-sonnet-4-5",
    name="Report Writer",
    role="Business Report Specialist",
    goal="Create professional business reports"
)

# Create team with coordination
team = Team(
    agents=[data_analyst, report_writer],
    mode="coordinate",
    model="anthropic/claude-sonnet-4-5"  # Required for leader agent
)

# Define tasks
tasks = [
    Task(description="Analyze Q4 sales data and identify trends"),
    Task(description="Create executive summary of findings")
]

# Leader agent coordinates the team
result = team.print_do(tasks)
print(result)
```