Increase profit and productivity with custom AI workflows

from typing import Optional, List


class Task:
    def __init__(self, name: str, workload: int) -> None:
        self.name = name
        self.workload = workload

    def execute(self) -> str:
        # pretend to do real work here
        return f"completed:{self.name}"


class AutomationAgent:
    """
    A tiny example agent that activates when workload exceeds
    a configured threshold and then handles the task.
    """

    def __init__(self, activation_limit: int):
        self.activation_limit = activation_limit
        self.current_mode = "idle"
        self.history: List[str] = []

    def evaluate_task(self, workload_value: int) -> bool:
        return workload_value > self.activation_limit

    def activate(self) -> None:
        self.current_mode = "active"

    def deactivate(self) -> None:
        self.current_mode = "idle"

if __name__ == "__main__":
    print("results:", demo())