Day of AI Australia scales AI literacy simulation to 330,000+ students using Google Cloud
Day of AI Australia needed to give students the ability to direct generative AI bots as part of an AI literacy game, but this posed a considerable risk: without strict controls, bots could inadvertently generate hate speech or age-inappropriate content in violation of Australian privacy laws and education standards. The lean engineering team also faced the challenge using fragmented tools from multiple providers that proved inefficient.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Student deploys bot
When a student deploys a bot—configuring its personality and tactics—the system initiates a dynamic workflow on Google Cloud.
Tools used
Compute EngineVertex AIGemmaShield GemmaCloud SQLModel Garden on Vertex AIGemini in Vertex AI
Outcome
The platform powered the 'Win the Farm' competition without a single performance issue, generated more than 120,000 unique social media posts without a safety incident, blocked 100% of harmful content, and reached more than 330,000 students including those in remote schools with limited hardware.
What failed first
Relying on fragmented tools from multiple providers for billing, inference, and security monitoring proved inefficient for the lean non-profit team.