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.
IFSaving a pretrained model using save_pretrained results in checkpoint keys with duplicated prefixes (e.g., 'model.language_model.language_model.language_model') when conversion mappings are applied globally instead of per class.
THENEnsure conversion mappings are scoped to the specific model class they target. Restrict mappings by using a class attribute or conditional logic so that regex patterns only apply when the model is of the intended type. For example, include a 'cls' key in the conversion dict to limit transformations.
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.
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