n8n workflow demonstrating AI safety guardrails: content moderation to filter harmful inputs, structured output validation, and conversation memory for context-aware responses.
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AI Insights
AUTO-GENERATED
💡 What It Does
•Checks user messages for harmful content (hate speech, violence, etc.) before sending them to AI
•Makes sure AI responses follow the exact format you need (like always returning valid JSON)
•Remembers previous messages in a conversation so the AI can give smarter, context-aware answers
🚀 Start Here
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Step 1: Send a test message through the workflow
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Step 2: Watch it get checked for safety, processed by AI, and validated
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Step 3: Try a follow-up message to see conversation memory in action
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Success looks like: Safe messages get AI responses in the correct format, unsafe messages are blocked, and follow-up questions reference earlier context
🛠️ Easy Customization
ℹ️Adjust what counts as 'harmful' by changing the [[contentModeration]] rules
ℹ️Define your own output format using the [[structuredOutput]] schema
ℹ️Set how many previous messages to remember in [[conversationMemory]]
📚AI GlossaryKey Terms
Content Moderation
Safety
Filtering harmful or inappropriate user inputs before processing
$Blocking a message containing threats before it's sent to ChatGPT
Structured Output
Validation
Forcing AI responses to match a specific data format
$Ensuring AI always returns {"name": "...", "age": 25} instead of free-form text
Conversation Memory
Context Management
Storing previous messages so AI understands context
$User asks 'What's the weather?', then 'How about tomorrow?' - memory lets AI know 'tomorrow' refers to weather