Tired of your n8n AI agents going rogue and confidently hallucinating garbage? 😵‍💫 The problem isn't just your prompt; it's the professional-grade settings that 90% of users never learn. This is how you build reliable AI agents that actually work.

We’ll talk about:

The 7 critical configuration areas that separate reliable, high-performing AI agents from unpredictable disasters.
Why you should stop using the default n8n memory for production and how to set up scalable memory with Supabase in 5 minutes.
The "Model Router" strategy: using a cheap, fast AI to choose the best, most cost-effective model (like DeepSeek-V2, Gemini Flash, or Claude 4) for every task.
The professional Temperature & Top-P formula for controlling AI creativity versus factual reliability.
How to use Output Parsers (including the "Auto-Fixing" parser) to guarantee correctly formatted JSON every time.
Plus, a professional-grade system prompt template and the right way to configure tools to prevent your agent from making mistakes.

Keywords: n8n, n8n AI Agent, AI Hallucinations, AI Automation, Production AI, Prompt Engineering, Model Router, DeepSeek-V2, Gemini 2.5 Flash, Supabase, AI Agent Configuration, AI Reliability

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#16 Max: Stop n8n AI Agent Hallucinations – The Pro Configuration Playbook

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#16 Max: Stop n8n AI Agent Hallucinations – The Pro Configuration Playbook