Architecture pattern
Confidence gate
Automation proceeds above a threshold; ambiguous cases go to another check or a person.
Plausible
What the pattern does
Automation proceeds above a threshold; ambiguous cases go to another check or a person.
Caveat
Thresholds require workload-specific calibration and monitoring.
Patterns are recurring shapes observed across the collected material. A repeated shape is evidence that developers converge on it, not evidence that it performs well in production.
Sources
Limitations
- Thresholds require workload-specific calibration and monitoring.
Where this pattern appears
- Confidence-gated agent control loops Authored HypothesisUse Jev repeatedly to route, verify, and decide whether an agent should continue or escalate.
- Support Action Gate Authored HypothesisA decision layer approving refunds, credits, escalations, and account changes within explicit limits.
- The strongest near-term architecture is Jev as a complement and control layer around generative models. PlausibleJev produces decisions rather than prose; Vercel and OpenRouter expose it through evaluation-oriented endpoints, and LangChain documents it as a routing and guardrail layer inside its own harness.
- jev-router ObservedAn npm-published CLI wrapper that launches Claude Code or OpenAI Codex through a loopback proxy, with a documented test suite covering shared policy, both request formats, and decision display.