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AI Agent Employee Framework
A development approach where you manage multiple AI agents like employees, each working on different business functions simultaneously (coding, marketing, product, research)
How It Works
Leverages cloud-based AI agents that can work asynchronously across platforms, allowing parallel execution of tasks while maintaining productivity
Components
Identify core business functions needed (engineering, marketing, product)
Set up AI agents on different platforms for each function
Create clear task specifications and handoffs between agents
Monitor and coordinate outputs from multiple agents
Maintain productivity by always having agents working while you focus on other tasks
When to Use
When building products solo but need multi-functional capability, when you want to maximize productivity during development wait times
When Not to Use
When tasks require deep human judgment, when you need tight coordination between functions, or when working with sensitive data
Anti-Patterns to Avoid
Example
“While one agent builds your app's MVP, simultaneously run agents for marketing plan creation, product roadmap development, and user research analysis”