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 langfuse's Python OpenAI wrapper and passing `metadata` parameter with `store=True`, the metadata is intercepted by langfuse and not forwarded to OpenAI.
THENTo ensure OpenAI receives the metadata for stored completions, use the native OpenAI client directly for calls requiring `store=True` with metadata, or pass metadata through langfuse's dedicated mechanism (e.g., `langfuse_context` or separate trace parameter) while avoiding the `metadata` key in the chat completion call. Alternatively, modify the langfuse wrapper to use a different parameter name for its own metadata to avoid collision.
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.
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