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AI workflowIntermediate

Agent

Agent is an AI working method that can plan steps around goals, call tools, and continuously advance tasks.

Updated: 2026-05-263 min study
#Agent#automation#Workflow

Summary

Instead of just answering questions, the Agent attempts to complete a sequence of tasks.

one sentence answer

Agent can be understood as a more active AI assistant. It breaks down the task according to the goals, selects tools, examines the results, and moves on to the next step if needed.

How is it different from ordinary chatting?

Ordinary chats are usually one question and one answer. Agent is more like "give a target and let it execute the process". For example, check information, organize tables, write drafts, run checks, and then modify based on the results.

Practical scenarios

content production

From topic research, article outline, first draft, title to publication list, a set of processes is formed.

customer service

Check the knowledge base based on customer questions, generate response suggestions, and mark cases that require manual processing.

software development

Read code, modify files, run tests, and continue fixing based on errors.

risk

The more capable the agent is, the more boundaries it needs. When it comes to making payments, deleting data, sending emails, and changing production systems, manual confirmation should be retained.

continue learning

Agent often appears together with workflow automation, RAG, and tool calls.

Related Concepts

AI workflowAdvanced

Workflow Automation

Workflow automation transfers repetitive processes to tools for automatic execution, allowing people to focus on judgment and creation.

Summary

Workflow automation is not about showing off skills, but turning fixed steps into stable processes.

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Prompt

Prompt is the task description you give to AI, including goals, background, information, limitations and output format.

Summary

The essence of Prompt is not a spell, but to make your needs clear and make it easier for the AI ​​to help.

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Retrieval-Augmented Generation

RAG is a method that first retrieves relevant information and then lets AI generate answers based on the information.

Summary

The point of RAG is to let AI check the information you specify first and then answer your questions.

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2 min studyUpdated: 2026-05-26