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 CrewAI with a small LLM and complex output_pydantic model, repeated conversion failures produce 'NoneType' object has no attribute 'function_calling_llm' error instead of a clear validation message.
THENInspect the underlying Pydantic validation error by catching ConverterError separately, or switch to a more capable LLM (e.g., GPT-4 instead of Llama 3.2 3B). Alternatively, patch the converter in crewai/utilities/converter.py to pass the agent object (not None) to fallback functions, so the recovery logic works and a meaningful error is raised.
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