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.
IFAI responses are inconsistent or poorly formatted when given a single user prompt without examples.
THENInclude a few-shot example in the messages array: provide a system prompt, a sample user message, and a sample assistant response before the actual user query. This context steers the model to follow a desired format and improves reliability.
IFAI responses are inconsistent or lack structure when given single-turn prompts without context.
THENUse few-shot examples by including a mock conversation in the messages array (system, user, assistant) to guide the AI to respond in a consistent format. For example, provide a system prompt, then a sample user query and assistant response, followed by the actual user message.
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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