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.
IFQwen2.5-VL-7B-Instruct shows ~25% relative accuracy drop on MMMU Literature benchmark when using batch_size >1 in Transformers 4.54.0+
THENSet batch_size=1 in evaluation commands for Qwen2.5-VL models to restore benchmark accuracy. For example, in lm_eval add `--batch_size 1` to the model_args or CLI. This workaround avoids the suspected 3D rope or FA2 varying-length attention bug.
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