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.
IFUsing ChatGoogleGenerativeAI's with_structured_output with a Pydantic model that contains a List field results in a 'missing items' error.
THENAvoid using List fields in the output schema for Gemini structured output. Instead, design the schema with single string fields or nested objects that do not require array type. If arrays are necessary, provide a custom function declaration with explicit 'items' schema, or use a different LLM provider that handles array schemas correctly.
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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