Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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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.
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embedding_character_limit
ai-agents-embedding-character--cohere-embedding-model-via-aws-bedrock-fails-with--0b4b1e13
IFCohere embedding model via AWS Bedrock fails with ValidationException: expected maxLength=2048 when using default token-based chunking.
THENReduce the chunk_size to a low value (e.g., 80) and chunk_overlap to 10, or implement custom character-based chunking to ensure each text chunk does not exceed 2048 characters.
Tier 170%
embedding_character_limit
ai-agents-embedding-character--cohere-embedding-model-via-aws-bedrock-fails-with--5042cf7b
IFCohere embedding model via AWS Bedrock fails with ValidationException when input text exceeds 2048 characters, even though chunk_size is set below the model's token limit.
THENConfigure the chunk_size parameter to ensure each text chunk does not exceed 2048 characters. Since Cohere via Bedrock enforces a character-based limit (not token-based), set chunk_size to a value that keeps chunks under 2048 characters. A workable chunk_size is 80 with chunk_overlap=10, but for larger chunks, implement a custom chunking strategy that splits text by character count using the model's maxLength parameter.
Tier 170%
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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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