Expired60% confidenceFactTime unknown
The Reflection module is one of the five core modules of an AI Agent, using a self-critique prompting mechanism to have the Agent inspect and improve its own output.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Complete Breakdown of Andrew Ng's Agent Course: A Practical Guide to the Five Core Modules of AI Agent Development
bilibili老闫讲大模型
Related Claims
VerifiedAI Agent基于ReAct(Reasoning + Acting)等框架,能够将复杂任务分解为多个子步骤,自主决定何时调用外部工具73% similarUnverifiedTypical agentic patterns include ReAct (alternating reasoning and action), Reflection (output self-evaluation and correction), and Multi-Agent Collaboration (division of labor among multiple agents)72% similarUnverified自主型Agent的核心能力包括工具调用(Tool Use)、记忆管理(Memory)和自我反思(Reflection)70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/55737API
curl https://kongchang.com/api/v1/knowledge/claims/55737MCP
get_claim(id=55737)