Stop Building One Giant AI Assistant. Build Five Small Ones.

📰 Dev.to · TechPulse Lab

Learn why building multiple small AI assistants is more effective than creating one giant AI assistant and how to implement this approach

intermediate Published 21 Apr 2026

Action Steps

Break down a complex AI-driven workflow into smaller tasks
Identify opportunities to build specialized AI assistants for each task
Design and develop multiple small AI assistants using modular architecture
Integrate the small AI assistants into a larger workflow using APIs or messaging queues
Test and evaluate the performance of each small AI assistant and the overall workflow

Who Needs to Know This

Developers, data scientists, and product managers can benefit from this approach as it allows for more flexibility, scalability, and maintainability in AI-driven workflows

Key Insight

💡 Building multiple small AI assistants allows for greater flexibility, scalability, and maintainability in AI-driven workflows