Latest Blog
Private Search Score Calibration: How Raw Similarity Becomes a Usable Confidence Signal
Learn why cosine similarity is not confidence, how labeled queries calibrate scores, and how to monitor thresholds when a private corpus changes.
Local AI NUMA Locality: Why Memory Placement Changes Accelerator Feed Rate
Learn how CPU, RAM, and PCIe topology affect accelerator feeding, why automatic placement can vary, and how to benchmark NUMA binding safely.
Model File Memory Mapping: How Shared Pages Reduce Duplicate RAM Use
Understand how mapped model pages are faulted and shared, why RSS can mislead, and which caches and buffers still consume RAM per process.
Private AI Audit Trails: How Event Logs Reconstruct Agent Decisions
Learn what an agent audit trail must capture, why ordinary logs are incomplete, and how to replay a private workflow without exposing raw data.
Home AI Circuit Breakers: Why One Failing Tool Should Not Stall Every Request
See how closed, open, and half-open states isolate failing tools, where fallback can mislead, and how to test recovery without stalling all requests.
Local AI Backpressure: How Queue Control Prevents Cascading Workflow Failure
Learn how bounded queues, admission control, and load shedding stabilize local AI workflows—and how to test overload before it becomes a cascade.
Smart Home Event Time: Why Late Data Changes Automation Decisions
Understand event time, watermarks, and late-data policies for smart homes—and test whether delayed sensors change an automation after it acts.
Home NVR Tracking: Why Persistent Object IDs Reduce Duplicate Alerts
Learn how tracking associates detections over time, why stable IDs suppress repeated alerts, and where occlusion or camera changes break continuity.
