Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private
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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.
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Tier-2 (your patterns)
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evaluation
mcp-evaluation-need-to-test-whether-an-llm-can-effectively-use-a--e23f0b7d
IFNeed to test whether an LLM can effectively use a new MCP server for realistic tasks.
THENCreate 10 evaluation questions that are independent, read-only, complex, realistic, verifiable, and stable. Follow the process: inspect tools, explore data, generate questions, verify answers. Output in XML format.
Tier 170%
evaluation
ai-agents-evaluation-prompt-outputs-need-systematic-measurement-for-qua-27acebf1
IFPrompt outputs need systematic measurement for quality metrics like accuracy, conciseness, and compliance.
THENImplement an evaluation pipeline that manages evaluation sets and automated evaluators. Run experiments to compare prompt variants against the same test data, and review structured statistics on results. This provides objective feedback for prompt optimization.
Tier 170%
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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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