Templates / Triage watch repair requests with Google Gemini, HighLevel, Sightengine and Gmail

Triage watch repair requests with Google Gemini, HighLevel, Sightengine and Gmail

Ready for 3.0

by iamvaar ✓ · 0 views · created 2026-10-05 · CRM, AI Summarization

Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 21 nodes and runs when someone submits an n8n form (“Watch Repair Request”). Along the way it connects HighLevel, Google Gemini Chat Model, Gmail and Google Sheets. It also calls api.sightengine.com over HTTP.

How it runs

Trigger: When someone submits an n8n form (“Watch Repair Request”).

  1. Set Customer Info Fields (Edit Fields (Set)): sets 12 fields: customer_name, first_name, last_name…
  2. Get GHL Contact Details (HighLevel): get many
  3. If: checks a condition and branches into true / false
  4. Rebuild Photo Binary Data (Code): runs custom JavaScript code
  5. Update or Create GHL Contact (HighLevel): uses HighLevel
  6. Extract Image Details (Edit Image): information
  7. Prepare Ticket Data (Code): runs custom JavaScript code
  8. Post to Sightengine API (HTTP Request): calls api.sightengine.com (POST)
  9. Set Authenticity Fields (Edit Fields (Set)): sets 2 fields: ai_generated_score, authenticity_status
  10. Create AI Agent Context (Code): runs custom JavaScript code

…plus 8 more steps. See the full node list below.

Services it uses

HighLevelGoogle Gemini Chat ModelGmailGoogle Sheets

HTTP calls to: api.sightengine.com

Before you upgrade to n8n 3.0

Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.

Nodes used (12)

From the author

Quick overview Youtube Video: https://youtu.be/Qd5CW0-TwS4 This workflow collects watch repair requests via an n8n form, syncs the customer to GoHighLevel, checks the uploaded photo with Sightengine, uses Google Gemini to generate a structured estimate and…

Excerpt from iamvaar's description on n8n.io.

View the original on n8n.io → Check your own copy

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