Unverified50% confidenceDecision RuleExact time
An Agent is needed only when the goal is clear but the next step depends on what the Agent discovers; if every step is fixed, conventional automation is usually easier to predict and test.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified循环工程（Loop Engineering）的核心是给Agent一个可自我验证的目标，让它在未达标时自动循环重试直到完成80% similarUnverifiedWhen rolling out Agent features, mainstream AI vendors have generally adopted a strategy of 'requiring step-by-step manual confirmation' rather than 'fully automated execution'.79% similarUnverifiedTraditional automation is rule-driven, whereas Agent-based solutions are goal-driven, with agents autonomously deciding what information to collect, which tools to invoke, and how to organize the reasoning chain.79% similarUnverifiedAgents become useful only when the next approved step depends on what the system discovers along the way; scenarios with fixed steps are suited for Workflows, and simple question-and-answer is suited for Chatbots77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1004302API
curl https://kongchang.com/api/v1/knowledge/claims/1004302MCP
get_claim(id=1004302)