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 model shows ~25% relative accuracy drop on MMMU Literature benchmark when using transformers v4.54.0+ with batch_size >1.
THENSet batch_size=1 during evaluation to restore baseline accuracy. For production, use batch_size=1 until the underlying issue (likely 3D rope or FA2 varying length attention) is fixed in the transformers library.
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