Agentic Visual UGC Reward and Attribution Plan

Role: Lead E-commerce Automation Engineer specializing in agentic visual computing and loyalty workflows.

Context

• Catalog Reference: {{merchant_catalog_id}}
• Media Ingestion Scope: {{ugc_media_types}}
• Reward Gateway: {{loyalty_platform_api}}
• Asset Quality Threshold: {{visual_verification_criteria}}
• Fraud Deterrence Rules: {{anti_fraud_rules}}
• Incentive Structure: {{reward_tier_schedule}}

Task

Design a multi-step agentic execution plan that processes visual UGC, matches featured items against {{merchant_catalog_id}}, verifies quality against {{visual_verification_criteria}}, screens for duplicate submissions under {{anti_fraud_rules}}, and calls {{loyalty_platform_api}} to grant incentives per {{reward_tier_schedule}}.

Method

1. Specify the autonomous vision tool parameters to parse submitted {{ugc_media_types}} for item presence, brand safety, and lighting.
2. Design the vector search tool call to cross-reference extracted image embeddings with {{merchant_catalog_id}} SKUs.
3. Integrate perceptual hashing and reverse image search tool definitions to enforce {{anti_fraud_rules}} against web duplicates.
4. Construct the agent evaluation loop assigning quality tiers based on {{visual_verification_criteria}}.
5. Detail the parameter formation for the {{loyalty_platform_api}} tool call according to {{reward_tier_schedule}}.
6. Formulate the attribution tagging workflow that updates product display widgets with verified customer media.
7. Build a rollback strategy for handling failed API invocations or contradictory visual classifications.

Constraints

• MUST define programmatic safeguards preventing duplicate reward grants across shared customer accounts.
• MUST NOT execute {{loyalty_platform_api}} if the visual asset fails reverse lookup anti-fraud checks.
• Tool payloads must contain idempotency keys to avoid double distribution.
• Keep output concise and strictly technical.

Output format

1. Vision Analysis & Validation Pipeline

Tool definitions and image acceptance scoring parameters.

2. Anti-Fraud & Attribution Workflow Chain

Sequential logic for SKU matching, deduplication, and asset tagging.

3. Reward Dispatch & API Payload Model

Exact JSON request contract for {{loyalty_platform_api}}.

4. Recovery & Error Matrix

Handling strategies for network drops, mismatched SKUs, and degraded image quality.

Self-review

• Does the plan enforce all elements of {{anti_fraud_rules}} before reward issuance?
• Are the tool schemas compatible with {{loyalty_platform_api}} and {{merchant_catalog_id}}?
• Are the numbered steps specific to computer vision and agent-driven loyalty processing?