Your Agent Said "Done" — But What Actually Changed? A Control-Plane Design
GlenBradley · x · 2026-09-21
In a long blog post, Glen Bradley dissects a common but dangerous failure mode in AI agent automation: command success ≠ goal achievement.
- Scenario: an AP's corporate WLAN is mis-mapped to VLAN 70 instead of 40; the agent proposes a fix, the controller returns {"status":"success"}, the ticket closes — yet the user still can't connect
- Core argument: success is evidence about the command, not the goal. The config may never have applied, auth may still fail, DHCP/DNS may be broken, and even a correct VLAN fix may not address the root cause
- He proposes separating "proposal → accepted" from real-world state verification via a control plane that keeps those states distinct, graphing dissonance between two world models
Related event: Agent Says Done, But Is It Fixed? Splitting State From Outcome(6 posts)→
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