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.
IFMultimodal requests with image_url fallback between providers (e.g., OpenAI to Gemini) lose image data because the messages dictionary is mutated by the first provider's transformation.
THENDeep-copy the messages list before passing to each fallback provider in the router logic. In Python, use copy.deepcopy(messages) to ensure transformations like converting image_url to inline_data do not alter the original payload, preserving data for subsequent fallback calls.
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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