Portia AI is unique in its ability to describe tasks in natural language to automatically generate execution plans. The workflow is: developer describes requirements in natural language → Portia parses semantics → automatically splits tasks → intelligences collaborate on execution.
Typical usage examples:
# 安排会议的标准流程 task = ''' 请帮助我完成以下任务： - 检查明天8:00到8:30的Google日历空闲时间 - 如果有空，安排30分钟会议 - 标题为"Portia AI演示" - 与指定邮箱共享会议邀请 ''' plan = portia.run(task)
This code will:
- Automatically connects to Google Calendar API to check available time slots
- Create calendar events and set title/time
- Send the meeting invitation to the designated email address
- The entire process can be accessed through the
plan.get_state()real time monitoring
Another complex case is the refund process: simply describe "check order status, refund with Stripe if valid and send confirmation email", and Portia automatically coordinates multiple intelligences to complete all subtasks.
This answer comes from the articlePortia AI: A Python Toolkit for Building Intelligent Automated WorkflowsThe
May not be reproduced without permission:AI productivity tools " How does Portia AI automate natural language workflows? Can you give us an example?
