Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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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.
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2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
hardware_compatibility
infrastructure-hardware-compatibili-using-esp32-c3-or-original-esp32-for-csi-sensing-r-8d99d026
IFUsing ESP32-C3 or original ESP32 for CSI sensing results in insufficient single-core performance for DSP.
THENReplace with an ESP32-S3 ($9) which has dual-core and full CSI support. Flash the appropriate firmware using esptool and provision WiFi as documented.
Tier 170%
hardware_compatibility
infrastructure-hardware-compatibili-the-pytorch-mps-backend-for-apple-metal-is-known-t-7a771919
IFThe PyTorch MPS backend for Apple Metal is known to produce incorrect results for basic tensor operations, such as torch.arange(10, device='mps') returning all zeros and torch.ones(...).type(torch.int32) returning garbage values.
THENBefore relying on the MPS backend for production workloads, validate its correctness on critical operations. Consider using CPU until these PyTorch bugs are resolved. Monitor the official PyTorch issue tracker for fixes.
Tier 170%
hardware_compatibility
ai-agents-hardware-compatibili-wifi-csi-based-human-sensing-produces-zero-data-or-8af2c179
IFWiFi CSI-based human sensing produces zero data or fails to capture frames, often due to using unsupported consumer WiFi hardware like a laptop's built-in WiFi dongle.
THENVerify hardware is on the supported list: ESP32-S3 (native promiscuous mode, ~$8), Intel 5300 NIC (modified firmware, ~$15 used), or Atheros AR9580 (ath9k patches, ~$20 used). Use the ESP32-S3 for easiest setup. Flash the firmware from `firmware/esp32-csi-node/` and run the Rust aggregator to confirm frame arrival.
Tier 170%
hardware_compatibility
infrastructure-hardware-compatibili-esp32-c3-or-original-esp32-used-for-wifi-csi-sensi-17d07200
IFESP32-C3 or original ESP32 used for WiFi CSI sensing fails to produce correct outputs.
THENReplace with ESP32-S3 (dual-core), which has sufficient DSP capabilities for CSI processing. The original ESP32 and C3 are single-core and cannot handle the required signal processing.
Tier 170%
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