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.
IFCharacterTextSplitter is used with chunk_size and chunk_overlap parameters expecting them to enforce chunk sizes.
THENReplace CharacterTextSplitter with RecursiveCharacterTextSplitter, which actually respects chunk_size and chunk_overlap. Alternatively, update documentation to clarify that CharacterTextSplitter ignores those parameters.
IFValueError: A single document was longer than the context length when using map_reduce summarization chain
THENEnsure the text splitter's chunk_size is less than or equal to the token_max parameter in load_summarize_chain, and also respects the model's maximum input length. If a single chunk still exceeds token_max after splitting, reduce chunk_size further or increase token_max accordingly.
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