MO

AI automation / Deployed workflow

AI Request Router

A Render-deployed n8n workflow that classifies inbound requests, routes actionable signals, and preserves uncertain cases for human review.

Role
Creator · Workflow architecture
Year
2026
State
Deployed on Render

System / routing

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Project snapshot

DeliveredLive browser demo
Evidence3-resource Render stack
System breadth6 core technologies

The condition

Challenge

Inbound sales, support, spam, and general requests arrive as unstructured text. Automating triage is only useful if malformed model output and uncertain classifications remain visible instead of disappearing into a silent failure path.

The response

Architecture

A nine-node n8n workflow sends each message to Llama 3.3 through Groq, parses a strict category-priority-summary contract, then routes valid classifications to Slack and Google Sheets. Invalid output follows an explicit fallback branch that logs the raw response for manual triage.

What shaped it

Key decisions

  1. Constrained model contract

    The classifier requests strict JSON, then a defensive code step normalizes and validates the response before routing it onward.

  2. Failure is a first-class route

    Malformed output is sent to a dedicated Slack alert and raw spreadsheet log so a person can resolve it with the original evidence intact.

  3. Reproducible self-hosting

    Pinned n8n and PostgreSQL images, health checks, encrypted credential storage, and environment-separated secrets keep the local system portable.

How it feels

Experience

A dependency-free browser client submits a message and returns its category, priority, and summary. The team receives a Slack signal and a spreadsheet audit record, while malformed classifications remain recoverable through the fallback route.

What resolved

Outcome

A live browser demo backed by a Render-deployed n8n service and PostgreSQL, with an importable workflow and reproducible Docker Compose stack for running the complete classification and recovery path.

  • Live browser demo
  • 3-resource Render stack

System composition

Technology, deliberately chosen.

  • n8n 1.70
  • PostgreSQL 16
  • Docker Compose
  • Groq
  • Llama 3.3
  • Slack