6d • Wins 🌟
Recently participated in the #n8nChallenge – Inbox Inferno 🔥
The challenge was to build an AI support agent using n8n that can automatically handle incoming customer emails.
The agent needs to:
• classify emails into categories (setup, pricing, security, HR, escalations, spam, etc.)
• generate replies grounded in Nexus Integrations’ documentation
• escalate emails to the correct team when required
• return responses in structured JSON format
The interesting part wasn’t just using an LLM — it was designing the workflow architecture around the AI.
Here’s what I built:
⚙️ Email Classification Layer
Incoming emails are categorized so the system understands the intent.
🤖 AI Support Agent
Generates replies using a controlled knowledge base (pricing, integrations, security policies, escalation rules) to avoid hallucinations.
🚫 Spam & Misdirected Filtering
Unrelated emails are filtered before they reach the AI agent.
📦 Structured Output
Responses are formatted into JSON so they can be evaluated automatically.
📊 Automated Evaluation Pipeline
A separate workflow sends test emails to the agent and scores responses using an LLM judge based on:
- category correctness
- documentation grounding
- correct escalation handling
Big learning from this challenge:
👉 Building AI systems is less about prompting and more about designing reliable workflows and guardrails around the model.
Handling edge cases, grounding responses in documentation, and designing evaluation loops turned out to be the most important parts.
Sharing the workflow architecture below 👇
Curious how others approached the challenge and structured their agents.
#n8n #n8nchallenge #automation #aiagents
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Recently participated in the #n8nChallenge – Inbox Inferno 🔥
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