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.
IFWhen using an embedding model that returns numpy.float32 arrays (e.g., SentenceTransformers, InstructorEmbedding) and calling `storage_context.persist()`, a `TypeError: Object of type float32 is not JSON serializable` occurs.
THENConvert numpy types to native Python types before persistence. Either modify the embedding model to return lists (e.g., use `.tolist()` on embeddings) or apply a custom JSON serializer that handles numpy dtypes. For InstructorEmbedding, adjust the `_embed` method to convert embeddings to Python floats.
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