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.
IFRAG chat engine returns hardcoded 'Empty Response' when no documents are retrieved, preventing the LLM from responding even when there is no relevant context.
THENModify the chat engine (e.g., CondensePlusContextChatEngine) to invoke the LLM even when no nodes are found, allowing the model to respond with small talk, clarification requests, or information from the system prompt. A workaround is to set `empty_response_gen=None` or override the `generate` method to fall back to the base chat engine behavior.
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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