Unverified50% confidenceSolutionExact time
There are two pillars in agent loop design: a clear goal (preferably objective rather than subjective) and a verifiable stopping condition.
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
VerifiedThe agent loop follows a 'reasoning-action-observation' paradigm, iterating repeatedly until the goal is achieved or a stopping condition is reached.73% similarUnverifiedThe agent architecture uses a "plan-execute-reflect" loop to handle complex tasks, unlike traditional large models that perform single-pass inference.72% similarUnverifiedThe engineering best practice is to introduce dual stopping conditions: a primary condition based on quality metrics plus a hard upper limit based on iteration count or time, whichever is reached first.72% similarUnverified工作流是确定性的、按预设路径执行，而智能体中的大模型会自主决定调用哪些工具、何时停止71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/590029API
curl https://kongchang.com/api/v1/knowledge/claims/590029MCP
get_claim(id=590029)