How to Build a Speed-to-Lead System in n8n (Jev + OpenRouter)
Derek Cheung demonstrates how to build an automated speed-to-lead system in n8n using Jev and OpenRouter. The workflow qualifies leads by analyzing text derived from user-submitted photos and voice notes, routing qualified prospects to receive generated media while pausing uncertain cases for human review in Slack.
Original by Derek Cheung | AI Agents AutomationAgent workflowsIntermediate12 min 56 secPublished
Jev acts as a fast, probabilistic decision node, replacing traditional agents and JSON parsers.
The system converts voice and image inputs into text before Jev evaluates the lead.
Uncertain leads trigger a Slack notification for human review, pausing the workflow until approved.
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This summary is based on a creator's walkthrough. The workflow code, reported costs, and lead outcomes were not independently verified. The build kit is community-hosted, and the video includes affiliate links.