# Convex Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/convex
> Markdown URL: https://aitinkerers.org/technologies/convex.md
> Technology record last updated: 2026-02-27T15:11:56Z
> Generated: 2026-09-20T13:44:33Z

Full-stack TypeScript platform: your reactive database and backend, always in sync.

Convex is the full-stack development platform that eliminates backend complexity. It replaces traditional stacks (database, servers, WebSockets) with three core building blocks: Mutations (atomic writes), Queries (live, reactive subscriptions), and Actions (serverless functions for third-party APIs like OpenAI). You define your entire backend, from database schemas to authentication, in pure TypeScript. This 'everything-is-code' approach ensures end-to-end type safety and guarantees real-time synchronization: when data changes in the backend, your frontend updates automatically, simplifying state management significantly.

- Official technology site: https://www.convex.dev/
- Public AI Tinkerers demos and talks: 5
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Panel: Building an AI Comic Engine Around the Visual Grid](https://prague.aitinkerers.org/talks/rsvp_Jp8vWlSfz2g)

Panel turns static comics into animated stories with game mechanics. It is a grid-based and AI-assisted engine and editor. It transforms a static page into a structured system of panels, media layers, dialogue bubbles, animations, loops, and reader-triggered interactions. In the demo, I’ll show the current working prototype: the board/canvas view, panel inspector, visual grid editing, media layers, panel-level animation and interaction controls, the animated outline and dialogue system. I’ll also show the first AI layer: generating static images directly into the grid, with support for character/style consistency and reference-based generation. The important part is the UX and how the generated asset lands inside an editable structure. I’ll explain how the system is built around a DOM/React-based visual grid, how GSAP animation and interaction are layered on top of it, and how this structure can evolve into a more advanced AI-native workflow: video generation, layout/story assistance, and eventually an agentic layer that can understand user intent and orchestrate editing steps.

- Event context: AI Tinkerers Prague June Meetup — 2026-06-12 — Prague
- Public talk page: https://prague.aitinkerers.org/talks/rsvp_Jp8vWlSfz2g

### [From Prompt to Product: Exploring AI-Assisted Hardware Design](https://sydney.aitinkerers.org/talks/rsvp_zcnB5Ar74Sk)

A walkthrough of an AI system designed to take natural language and generate manufacturable hardware outputs. Built at a recent hackathon. I'll show the vision, what we actually got working (LLM-generated CAD models), what we hardcoded for the demo, and the honest gaps between the dream and current reality. Lessons on scoping AI hardware projects and where the real technical challenges lie.

- Event context: Trust and Security in AI - Sydney Demo Night — 2025-12-11 — Sydney
- Public talk page: https://sydney.aitinkerers.org/talks/rsvp_zcnB5Ar74Sk

### [Using AI for Force Multiplication](https://toronto.aitinkerers.org/talks/rsvp_dRPk7eb_QDo)

I will be presenting my Control+S concept, which is a tool that allows us to do governance, risk, and compliance work, but it deploys AI agents in sandboxes to perform the bulk of the work. This means that we can assess an organization against various frameworks (such as ISO 27001, the CIS 18 Citical Controls, NIST CSF) by doing it with a evidence first approach, which then gets pushed into a sandbox to be analyzed, and the results are then surfaced on the web UI. And I'll be showing the tech stack, the process of building it, and then the app itself.

- Event context: AI Tinkerers Toronto - December Meetup sponsored by Auth0 and TribalScale! — 2025-12-03 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_dRPk7eb_QDo

### [12 Factor Agents - You dont need a complex framework to build agents.](https://nairobi.aitinkerers.org/talks/rsvp_4a6pUocIJ6U)

Break down modular components of how AI agents really work under the hood. Show how to use composable components by using regular code to make powerful production scale AI agents. Give ingredients of building agentic experiences and demistify what goes on behind the scenes when we use a framework to build AI agents.

- Event context: AI Tinkerers Nairobi – Sep 25, 2025 Meetup — 2025-09-25 — Nairobi
- Public talk page: https://nairobi.aitinkerers.org/talks/rsvp_4a6pUocIJ6U

### [Voice AI, Duolingo that works](https://waterloo.aitinkerers.org/talks/rsvp_VjQQY_9bWnY)

I will be presenting my NextJS Hackathon Project Building a learning tool to communicate with AI in a language the user is learning

- Event context: AI Tinkerers - Waterloo April Meetup — 2025-04-21 — Waterloo
- Public talk page: https://waterloo.aitinkerers.org/talks/rsvp_VjQQY_9bWnY

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