Team Builds AI Support Agent That Flags Knowledge Gaps Instead of Guessing

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A small development team at Elite Solution in Moldova built an agentic system called Foundry in two weeks for the Google Cloud All Things Agentic Hackathon. Foundry crawls a business website, drafts a support knowledge base, and identifies gaps or contradictions it cannot answer — then prompts the human owner to fill them in before publishing. All responses served by the support bot are human-approved, and unanswered queries are declared as gaps rather than guessed. The entire system runs on Google Cloud infrastructure, using tools such as Vertex AI, Gemini Flash, Cloud Run, and Firestore to manage a draft-to-active-to-superseded content lifecycle. The team's key insight was that silent failures — bugs that pass tests but break in real use — pose a greater risk in agentic systems than outright crashes, leading them to adopt mandatory end-to-end human walkthroughs before marking any feature complete.

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