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I built an AI-powered trust layer for second-hand marketplaces using Melius.
The system analyzes uploaded product images, detects authenticity signals, evaluates risk patterns, and generates an authenticity confidence score before listings go live.
The goal is to reduce counterfeit risk and improve trust in global resale commerce.
PROCESS STEPS
Step 1
Defined the trust problem in second-hand marketplaces.
Step 2
Built a multi-agent workflow in Melius for image analysis and authenticity detection.
Step 3
Created an authenticity scoring system based on visual signals and brand pattern analysis.
Step 4
Added risk assessment and marketplace listing logic.
Step 5
Optimized the workflow structure for scalable resale verification.
Melius made it possible to structure complex AI reasoning into a visual workflow instead of isolated prompts.
The node-based system helped orchestrate analysis, scoring, and marketplace trust logic in a way that felt closer to building a real AI product than a simple demo.
https://app.melius.com/projects/0ffd812b-084c-4a50-98da-66f6a21647fc/canvas/6d794bfd-790a-4b2d-a051-5638c6c211b8
https://www.linkedin.com/posts/sviatoslavpetiushenko_built-an-ai-powered-authenticity-agent-for-share-7462083030279471104-UjCS?utm_source=share&utm_medium=member_desktop&rcm=ACoAAF7pNDwBT_C1WBclx_mP2N57NGze1W0F19M
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