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.
IFVertex AI returns 400 error: 'functionDeclaration parameters schema should be of type OBJECT' when a tool definition has an empty or missing parameters field.
THENAutomatically sanitize tool definitions for Vertex AI/Gemini by converting empty or absent parameters schemas to the format required by Gemini: parameters must be an object with type 'OBJECT' and can have an empty properties object. Alternatively, set parameters to None explicitly instead of an empty dict. For proxies like LiteLLM, ensure this transformation happens before forwarding to Vertex AI.
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