AI agents control IoT devices by primarily sending commands and receiving data over various network protocols. They don't physically manipulate devices but rather interact through device APIs or SDKs, which expose functions for control and data retrieval. The agent continuously collects real-time sensor data from connected devices, feeding it into its decision-making algorithms, often powered by machine learning. Based on this analysis and predefined rules or learned patterns, the AI formulates actionable instructions. These commands are then transmitted back to the IoT devices, targeting their actuators to perform tasks like adjusting thermostats, locking doors, or managing energy consumption. This creates a closed-loop system, enabling autonomous and optimized operation as the AI continuously monitors and adapts device behavior to environmental changes or user preferences. More details: http://dezinedepot.com