AHSAN RIAZ
WORK/AI product approval system

AI agents / Marketplace

Product checks every 30 minutes, with a person making the final call when needed

Marketplace quality control

Category: AI agents / Marketplace
Stack: n8n · Claude · Supabase · Human review
[SYSTEM ARCHITECTURE MAP]AI agents / Marketplace
Four checks — run in parallel, every 30 minutesNew listing publishedMarketplace eventCompliancePolicy rulesImage qualityClaude VisionSEOTitle & tagsListing issuesMissing fieldsDecision routerWeighted resultApprovedGoes live automaticallyManual reviewBorderline casesRejectedSent back with reasonTeam decidesApprove or rejectWeighted across 4 checks

A marketplace listing triggers four parallel evaluation steps: policy compliance, vision inspection, SEO checks, and missing field detection. Results feed a weighted decision router that routes listings to instant approval, manual review, or rejection.

The operational problem

A live marketplace needed consistent checks across a constant flow of new listings.

How the system handles it

The workflow checks compliance, image quality, SEO, and listing issues, then routes each result to approval, rejection, or manual review.

ENGINEERING DECISIONS

Logic & boundary design

01 / AI Judgment

Unstructured data processing, context extraction, and reasoning.

02 / Rules Engine

Deterministic conditions, status routing, and strict validation.

03 / Human Review

Final approval triggers, manual overrides, and audit checkpoints.

04 / Custom Code

API fallbacks, database connectors, and custom Python integrations.

SYSTEM OUTCOME

The team spends time on listings that actually need attention.

Have a similar operational workflow?

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