Developer builds five-agent AI course generator with quality gate on Google Cloud Run

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A developer has built a multi-agent AI system that automatically generates structured course modules on any given topic in approximately two minutes. The system runs as five separate Cloud Run services in Google's europe-north1 region, comprising a web app, an orchestrator, and three independent leaf agents communicating over authenticated HTTP. A key design feature is a quality gate: a dedicated judge agent evaluates the researcher's findings and returns a structured pass/fail verdict before any course content is written, preventing unreviewed material from reaching the content builder. The orchestrator uses a loop agent that only exits when the judge explicitly returns a passing verdict or an iteration cap is reached, with ambiguous or missing verdicts defaulting to another review cycle. The project was submitted as part of DEV's Education Track challenge focused on building multi-agent systems with Google's Agent Development Kit.

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ProgrammingDEV Community ·

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