AI Email Triage Automation

This automation project combines n8n workflows with a local HTTP service that calls an LLM CLI to classify incoming mail. It returns structured fields such as importance, action requirements, summary, suggested next steps, and deadline mentions. The project is useful because it shows practical integration work: workflow orchestration, a local service boundary, and a structured output contract for downstream automation.

Role and Focus

Connected off-the-shelf workflow tooling to a local Node service so inbound email could be triaged into structured next actions.

Tech Stack

Workflow Layer

n8nIMAP TriggerWorkflow JSONSmoke-Test Workflow

Bridge Service

Node.jsHTTP EndpointCLI InvocationStructured JSON Output

AI Output

Importance ScoringNeeds-Action FlagsSummariesSuggested Actions

Key Highlights

Uses n8n workflows to receive and route messages into a local processing service.
Returns structured fields instead of raw text so the output can feed follow-on automation.
Shows pragmatic AI integration through a clear service boundary rather than bolting prompts into UI code.