Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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.
Sample rules shown
1
Categories
2258
Tier-1 (public)
4,089
Tier-2 (your patterns)
private to your site
dependency_upgrade
security-dependency-upgrade-user-gets-valueerror-requiring-torch-2-6-when-load-a5752b8a
IFUser gets ValueError requiring torch >= 2.6 when loading a PyTorch format checkpoint on an x86 Mac where torch 2.6 is not available.
THENConvert the checkpoint to safetensors format, which avoids the security vulnerability and does not require torch 2.6. This can be done by loading the model with an older transformers version on a system that supports torch 2.6 (e.g., Colab), then saving it in safetensors format. Alternatively, downgrade transformers to version 4.41.0 and pin numpy to 1.26.4 to bypass the check temporarily.
Tier 170%
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