
In October 2025, Ilagno developed Geo-brand Presence Prompts Management for the adobe/spacecat-audit-worker repository, focusing on backend data processing and governance. Using Node.js and the AWS SDK, Ilagno implemented a hard cap of 200 prompts, prioritized customer-defined prompts over AI-generated ones, and introduced deduplication across region, topic, and prompt text to ensure high-quality analytics. The solution included refactoring prompt handling to support site-specific filtering and exceptions for select sites, as well as splitting multi-region customer prompts for accurate governance. This work improved data quality, enabled more relevant business insights, and demonstrated depth in backend development and refactoring practices.

October 2025 monthly summary for adobe/spacecat-audit-worker: Delivered Geo-brand Presence Prompts Management with a hard cap on prompts, region/topic/text deduplication, and site-specific filtering; fixed multi-region prompt splitting bug; improved governance and data quality for analytics; enhanced business value through prioritized customer prompts and cleaner prompt sets.
October 2025 monthly summary for adobe/spacecat-audit-worker: Delivered Geo-brand Presence Prompts Management with a hard cap on prompts, region/topic/text deduplication, and site-specific filtering; fixed multi-region prompt splitting bug; improved governance and data quality for analytics; enhanced business value through prioritized customer prompts and cleaner prompt sets.
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