# Cloud SQL Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/cloud-sql
> Markdown URL: https://aitinkerers.org/technologies/cloud-sql.md
> Technology record last updated: 2026-02-23T20:58:04Z
> Generated: 2026-09-22T19:40:24Z

A fully managed relational database service for MySQL, PostgreSQL, and SQL Server that automates backups, scaling, and failover.

Cloud SQL handles the operational overhead for MySQL, PostgreSQL, and SQL Server instances on Google Cloud. It automates patching, storage increases, and high availability (99.95% SLA) so your team can ship code instead of managing infrastructure. Security is built-in: data is encrypted at rest and in transit with integrated support for VPC networking. For scale, it supports up to 96-core instances and 64 TB of storage (easily handling high-traffic production workloads). It integrates natively with Google Kubernetes Engine (GKE) and BigQuery to streamline your entire data pipeline.

- Official technology site: https://cloud.google.com/sql
- Public AI Tinkerers demos and talks: 3
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Agentic video editing pipeline](https://montreal.aitinkerers.org/talks/rsvp_5bqTjWicF8s)

After interviewing 50+ video editors, head of marketing, film directors, we found the boring part of the professional video editing job that can be automated. I will demo the main video ingestion workflow: transcode to 480p using ffmpeg, upload that video to GCS, takes some frames and use it for classification, ask gemini to look at the video for video understanding, piping the audio to assemblyai for the transcript, use ffmpeg to segment the video, use gemini embedding on each segment so it is searchable.

- Event context: AI Tinkerers Montreal - May Demo Meetup @ Ubisoft — 2026-05-26 — Montreal
- Public talk page: https://montreal.aitinkerers.org/talks/rsvp_5bqTjWicF8s

### [Building Document Consciousness: How I Taught Gemini to Think in 6 Dimensions](https://san-diego.aitinkerers.org/talks/rsvp_CuPjQckMXvM)

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.

- Event context: AI Tinkerers San Diego: February Meetup at Google — 2026-02-27 — San Diego
- Public talk page: https://san-diego.aitinkerers.org/talks/rsvp_CuPjQckMXvM

### [The AI-First Development Workflow](https://st-louis.aitinkerers.org/talks/rsvp_VHAgcAJsbGY)

This presentation details a paradigm shift in software engineering where AI is the primary builder and the human is the Principal Orchestrator. The Core: It replaces traditional human team roles with specialized, adversarial AI agents. The Rigor: It implements the Planning Gauntlet (Architect/Critique/Revise) and the Hardening Cycle (Review/Fix/Test) to ensure that solo output meets industrial production standards. The Impact: It enables a single engineer to operate as a full-force squad, delivering mission-critical software with zero-drift and zero-bug tolerance. This presentation describes the workflow I've developed building production software using AI at my day job (IntelePeer) as well as in my side projects (IgnitionAI)

- Event context: AI Tinkerers – St. Louis Meetup: February 4, 2026 — 2026-02-04 — St. Louis
- Public talk page: https://st-louis.aitinkerers.org/talks/rsvp_VHAgcAJsbGY

## Related Technologies

- [Cloud Run](https://aitinkerers.org/technologies/cloud-run) ([Markdown](https://aitinkerers.org/technologies/cloud-run.md)) — 12 public demos
- [PostgreSQL](https://aitinkerers.org/technologies/postgresql) ([Markdown](https://aitinkerers.org/technologies/postgresql.md)) — 106 public demos
- [Vertex AI](https://aitinkerers.org/technologies/vertex-ai) ([Markdown](https://aitinkerers.org/technologies/vertex-ai.md)) — 31 public demos
- [Backend](https://aitinkerers.org/technologies/backend) ([Markdown](https://aitinkerers.org/technologies/backend.md)) — 7 public demos
- [BigQuery](https://aitinkerers.org/technologies/bigquery) ([Markdown](https://aitinkerers.org/technologies/bigquery.md)) — 1 public demo
- [Claude Code](https://aitinkerers.org/technologies/claude-code) ([Markdown](https://aitinkerers.org/technologies/claude-code.md)) — 216 public demos
- [Cloud Build](https://aitinkerers.org/technologies/cloud-build) ([Markdown](https://aitinkerers.org/technologies/cloud-build.md)) — 2 public demos
- [Cloud Run Gen2](https://aitinkerers.org/technologies/cloud-run-gen2) ([Markdown](https://aitinkerers.org/technologies/cloud-run-gen2.md)) — 1 public demo
- [Cloud SQL (PostgreSQL)](https://aitinkerers.org/technologies/cloud-sql-postgresql) ([Markdown](https://aitinkerers.org/technologies/cloud-sql-postgresql.md)) — 1 public demo
- [Cloud Storage](https://aitinkerers.org/technologies/cloud-storage) ([Markdown](https://aitinkerers.org/technologies/cloud-storage.md)) — 1 public demo
- [Embeddings](https://aitinkerers.org/technologies/embeddings) ([Markdown](https://aitinkerers.org/technologies/embeddings.md)) — 22 public demos
- [Express](https://aitinkerers.org/technologies/express) ([Markdown](https://aitinkerers.org/technologies/express.md)) — 18 public demos
- [FFmpeg](https://aitinkerers.org/technologies/ffmpeg) ([Markdown](https://aitinkerers.org/technologies/ffmpeg.md)) — 16 public demos
- [Firestore](https://aitinkerers.org/technologies/firestore) ([Markdown](https://aitinkerers.org/technologies/firestore.md)) — 4 public demos
- [Flash](https://aitinkerers.org/technologies/flash) ([Markdown](https://aitinkerers.org/technologies/flash.md)) — 14 public demos
- [Gemini](https://aitinkerers.org/technologies/gemini) ([Markdown](https://aitinkerers.org/technologies/gemini.md)) — 188 public demos
- [Gemini-2](https://aitinkerers.org/technologies/gemini-2) ([Markdown](https://aitinkerers.org/technologies/gemini-2.md)) — 15 public demos
- [Google Cloud](https://aitinkerers.org/technologies/google-cloud) ([Markdown](https://aitinkerers.org/technologies/google-cloud.md)) — 8 public demos