Unverified50% confidenceCautionExact time
Narrow-scope, low-fault-tolerance scenarios (such as identity verification, invoice issuance, and strict compliance) should use traditional hard-coded workflows and should not blindly use Agents.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA reliable Agent implementation should set a call limit and clear exit conditions, and should adapt or stop and seek human intervention when encountering timeouts, empty data, or insufficient permissions.69% similarUnverifiedIn real-world Agent development, evaluating agent performance, debugging erroneous behavior, and setting safety boundaries are often more challenging than building basic functionality.67% similarUnverifiedIf the approval threshold is too loose, control is lost; if too strict, the benefits of automation are lost — the true balance is letting the Agent handle the vast majority of processes while inserting lightweight human confirmation only at critical decision nodes.67% similarUnverifiedWhen Agent results deviate, the completeness of the context should be examined rather than rushing to adjust the prompt.66% similarUnverified在 Skill 或全局配置中提供正例和反例的对比示例（few-shot contrastive examples）能有效纠正 Agent 反复出现的错误66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/908120API
curl https://kongchang.com/api/v1/knowledge/claims/908120MCP
get_claim(id=908120)