Building Document Consciousness: How I Taught Gemini to Think in 6 Dimensions

I’ll demo Clasio, a document intelligence platform I built solo on a 100% Google Cloud stack, showing how I use Gemini 2.5 Flash (extensible to Gemini 3 in a few keystrokes) to extract what I call “6D Document Consciousness” - analyzing every uploaded document across What, Who, When, Where, Why, and How dimensions simultaneously. I received $25K in credits from Google Cloud for Startups for Clasio.

The technical meat of the talk:

• How I built an async AI queue that processes 25 documents in 75 seconds using 30 parallel Gemini workers on Cloud Run
• The structured extraction prompt engineering that gets Gemini to reliably output 6D consciousness JSON (and what failed before it worked)
• A 6-tier search waterfall that goes from exact consciousness match down to fuzzy vector similarity using pgvector on Cloud SQL - returning direct answers, not document lists
• How I handle connection pool management when you have 30 concurrent Gemini API calls each taking 2-10 seconds (spoiler: release the DB connection before the API call, not after)
• Live demo: upload a stack of immigration documents and watch the system classify, extract entities, detect deadlines, and answer natural language questions in real time

This is a solo founder build - no team, no VC money, just a product person who learned TypeScript and shipped to production on GCP.