Research
A Pattern Language for Resilient Visual Agents in Enterprise Systems
Presents architectural patterns for integrating vision-language-action (VLA) models into enterprise ecosystems, addressing the core tension between high latency/non-determinism of VLA models and enterprise requirements for reliability and throughput. The pattern language covers fallback strategies, confidence-gated routing, and degradation policies. For teams deploying visual agents (document processing, UI automation, inspection) in production, this provides battle-tested architecture templates.
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