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.
IFWhen using Llama3 or similar LLMs with the ReAct agent, the model may generate both a parse-able Action and a Final Answer in the same response, leading to an OutputParserException.
THENSet the LLM's stop token to 'Observation:' to ensure generation stops immediately after the Observation line and does not produce an extraneous Final Answer. Pass the 'stop' parameter when initializing the LLM (e.g., ChatOllama(model='llama3', stop=['Observation:'])). Then use create_react_agent with that LLM.
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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