Paper

The future scenario of APP moving towards AI Agent

by | 7 month 19, 2024

As technology advances, there will be significant changes in how applications operate. Future applications will no longer rely on traditional APP button operations, but will allow users to interact in natural language through the conversational communication interface provided by AI Agent. This change will make the application more intuitive and easier to use, and combine it with Automation to ensure the stability of the workflow, thus greatly improving efficiency.

Transportation application scenarios

you:I have two people who want a ride to Raohe Night Market.

Agent:Are there any other special needs?

you:The sooner the better.

Agent:OK, I will arrange the nearest vehicle for you, please wait.

you:Xie.

Agent:The vehicle is already on the way and will arrive at your location in about 10 minutes.

Booking application scenario

you:Two of me want to stay one night near Raohe Night Market. The transportation is convenient and breakfast is not required. The best price is between 2,000 and 3,000 yuan.

Agent:There are three hotels that are very suitable. Do you want to focus on price or evaluation?

  1. Price
  2. Evaluation

you:Evaluation.

Agent:According to the evaluation, there are three hotels recommended:

  1. Raohe Hotel: Rating 4.5 points, price 2,800 yuan.
  2. YES Hotel: Rating 4.3 points, price 2,500 yuan.
  3. Metropolis Hotel: Rating 4.2 points, price 2,200 yuan.

you:I choose YES hotel.

Agent:OK, the night market hotel has successfully made a reservation for you. Check-in time is after 3 pm.

you:Xie.

Food delivery application scenarios

you:I want to have Chinese breakfast. My budget is about 150 yuan per person. I want two portions and it will be delivered within 15 minutes.

Agent:There are two options:

  1. Midea City Breakfast: The content is pot stickers + egg pancakes + soy milk.
  2. Ah Zhong's breakfast: The content is rice balls + vitality juice.

Is there anything you like? Or change to other flavors?

you:2.

Agent:OK, your order has been confirmed and Ah Zhong's breakfast will be delivered within 15 minutes.

you:Xie.

Agent:You're welcome and enjoy your meal!

Future applications: from button operations to conversational interfaces

Future applications will gradually transform into AI Agent-driven models, transforming from traditional button operations to conversational communication interfaces. This means that users no longer need to learn how to operate the software, but interact with the AI ​​Agent through natural language. This change is not only applicable to life scenarios, but will also revolutionize office automation. Whether arranging meetings, managing calendars, or processing documents, AI Agent provides efficient and intelligent support through a conversational interface. In the future, users will be able to complete various complex tasks simply through "communication" without cumbersome operations.

Division of roles between AI Agent and Automation

The main function of the AI ​​Agent is to handle non-fixed but within-scope problems and make preliminary judgments and schedule language models. They can handle a variety of tasks with high uncertainty and provide customized solutions based on user needs. Automation is responsible for handling fixed processes and needs to be authorized to perform specific actions after humans interact with the AI ​​Agent. This division of labor enables AI Agent to flexibly handle dynamic problems, while Automation ensures the stability of the workflow.

AI workflow

Changing application models and workflows

As applications gradually transform into AI Agent mode, workflows will evolve into Automation mode. This transformation will bring significant efficiency gains and increased flexibility. AI Agent is responsible for interacting with users, understanding needs and providing preliminary solutions, while Automation ensures that tasks can be executed accurately after authorization. This cooperation model will ensure the stability of the work process while providing sufficient communication flexibility to deal with various emergencies.

Development and Challenges of AI Agent

The development of AI Agent is inseparable from the support of large language models (LLM). With the advancement of LLM technology, AI Agent's capabilities in perception, memory, planning, and action continue to improve. However, AI Agents still face challenges such as unpredictability. When enterprises introduce AI Agents, they need to consider the instability caused by the accumulation of error rates, and how to evaluate and improve their performance in highly interdependent systems.

The future outlook of AI Agent and Automation

In the future, the integration of AI Agent and Automation will become a trend, and the synergy between the two will bring revolutionary changes to all walks of life. AI Agent will take on the role of handling non-fixed problems and provide intelligent judgments and suggestions, while Automation will be responsible for executing determined workflows to ensure the accurate completion of tasks. This dual combination model will provide enterprises with flexible and efficient solutions to promote technological progress and business development.

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