# coloring canvas Projects at AI Tinkerers

> Canonical HTML: https://aitinkerers.org/technologies/coloring-canvas
> Markdown URL: https://aitinkerers.org/technologies/coloring-canvas.md
> Technology record last updated: 2026-07-01T07:44:42Z
> Generated: 2026-09-21T08:54:15Z

Coloring Canvas turns premium, gallery-wrapped canvas into interactive, ready-to-color wall art for a high-end alternative to paper coloring books.

Coloring Canvas upgrades the traditional coloring experience by printing intricate, black-and-white line art directly onto heavy-duty cotton canvas. Stretched tightly over 1.25-inch solid wood frames, these canvases provide a rigid, professional-grade surface that easily handles markers, acrylics, and solvent pens without bleeding. With three distinct difficulty levels (beginner, intermediate, and advanced) and pre-installed sawtooth hangers, the technology bridges the gap between casual stress relief and permanent, display-ready home decor.

- Official technology site: https://www.canvasondemand.com/coloring-canvas/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Building Brushi: A Local VLM Agent That Understands Kids’ Drawings](https://toronto.aitinkerers.org/talks/rsvp_duZsN9qwZvs)

Brushi is a kids coloring and drawing app with a local multimodal AI companion that can observe what a child is creating and respond through a small, bounded interaction loop. The project explores a question I have been thinking about in my recent work on edge AI: small VLMs and LLMs should not be treated as weaker versions of large cloud models. Like children are not simply “small adults,” edge models behave differently because the system around them has to provide structure, grounding, and feedback. In the live demo, I’ll show the working Brushi app, the local VLM/agentic architecture, and the event loop that connects the child’s drawing activity to the AI mascot’s reactions. The demo will focus on the technical workflow: how drawing events are captured, how visual context can be passed to a local VLM, how the LLM layer interprets the learning or creative context, and how the app decides whether to encourage, guide, correct, or stay silent. I’ll show the architecture, app workflow, logs/traces from the interaction loop, and examples of where the system succeeds or fails when trying to understand a child’s drawing.

- Event context: AI Tinkerers Toronto - June 2026 - with Relay Financial x PostHog — 2026-06-30 — Toronto
- Public talk page: https://toronto.aitinkerers.org/talks/rsvp_duZsN9qwZvs

## Related Technologies

- [Agent](https://aitinkerers.org/technologies/agent) ([Markdown](https://aitinkerers.org/technologies/agent.md)) — 12 public demos
- [Agentic loop architecture](https://aitinkerers.org/technologies/agentic-loop-architecture) ([Markdown](https://aitinkerers.org/technologies/agentic-loop-architecture.md)) — 1 public demo
- [child-friendly controls](https://aitinkerers.org/technologies/child-friendly-controls) ([Markdown](https://aitinkerers.org/technologies/child-friendly-controls.md)) — 1 public demo
- [iOS](https://aitinkerers.org/technologies/ios) ([Markdown](https://aitinkerers.org/technologies/ios.md)) — 7 public demos
- [LLM](https://aitinkerers.org/technologies/llm) ([Markdown](https://aitinkerers.org/technologies/llm.md)) — 123 public demos
- [Local LLM](https://aitinkerers.org/technologies/local-llm) ([Markdown](https://aitinkerers.org/technologies/local-llm.md)) — 3 public demos
- [Next](https://aitinkerers.org/technologies/next) ([Markdown](https://aitinkerers.org/technologies/next.md)) — 186 public demos
- [Swift](https://aitinkerers.org/technologies/swift) ([Markdown](https://aitinkerers.org/technologies/swift.md)) — 17 public demos
- [SwiftUI](https://aitinkerers.org/technologies/swiftui) ([Markdown](https://aitinkerers.org/technologies/swiftui.md)) — 9 public demos
- [VLM](https://aitinkerers.org/technologies/vlm) ([Markdown](https://aitinkerers.org/technologies/vlm.md)) — 3 public demos