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 model.generate() from Hugging Face Transformers, the output tensor includes the input prompt tokens, making it impossible to extract only the newly generated text by simple substring because the tokenizer may normalize spacing (e.g., convert ' ,' to ',').
THENTo obtain only the generated text, either use the pipeline() with return_full_text=False, which automatically strips the prompt, or manually slice the output tensor after generation: gen_tokens[:, input_ids.shape[1]:]. Then decode with tokenizer.batch_decode(). This removes the input token sequence regardless of tokenizer normalization.
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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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