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.
IFResponse text shows high similarity to the input prompt, indicating possible prompt injection.
THENCompute a similarity score between the user prompt and the LLM response using embedding similarity (e.g., cosine similarity). If the score exceeds a threshold (e.g., 80%), flag the interaction as a suspected injection. Log the alert for security review and consider blocking the response to prevent data exfiltration.
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