We don't publish
your competitive advantage.
AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.
IFCamera-free pose estimation accuracy is limited (below 92.9% PCK@20).
THENUse the camera ground-truth training approach described in ADR-079 (docs/adr/ADR-079-camera-ground-truth-training.md) to achieve 92.9% PCK@20 accuracy. This requires a camera during training but no camera at inference.
IFCamera-free pose estimation accuracy is limited (lower PCK@20).
THENUse camera ground-truth training (MediaPipe + ESP32 CSI) to achieve 92.9% PCK@20. Follow the ADR-079 documentation for the training pipeline.
Connect your site → query the full pool
What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.
Connect a site