Building Interactive AI Concept Demos with Claude Design (Embeddings Example)
Melvin Vivas · X video post · 2026-04-30 · 0:19 · 97 views · Open on X
Topics: Embeddings & Vector Databases, AI Dev Tools & Productivity · Level: beginner
Summary
In this 19-second X post with no narration, Melvin Vivas shows an interactive demo of how embeddings work that he made with Claude Design, Anthropic's tool for making visual designs and prototypes. The caption also shows the command pip install aibackends, which points to a Python package, apparently his own. The lesson is that AI design tools can quickly turn an abstract idea like embeddings into a visual explainer you can use for teaching or for a portfolio.
Key points
- Claude Design can generate interactive demos and visual explainers, not just static mockups.
- The example demo explains embeddings: text is turned into vectors, and pieces of text with similar meaning end up close together in vector space.
- The caption shows
$ pip install aibackends, a Python package installed with pip that appears to be the creator's own library. - Visual demos help you understand concepts like embeddings and similarity search, and help you explain them to others.
- The video has no narration, so the lesson comes from the caption and the demo itself.
Resources mentioned
- Claude Design · tool · anthropic.com · paid
Anthropic Labs tool that creates prototypes, slides and one-pagers when you describe them to Claude in chat.
Also in: Improving Codex's UI Design Output with Impeccable (npx impeccable install) (Melvin Vivas on X · notes), Codex Subagents: Attaching Skills and MCP Servers per Subagent (Melvin Vivas on X · notes), AutoDesign: Improving the Harness Around the Model with a Meta-Harness Loop (Melvin Vivas on X · notes), Claude Code's /design Skill: Pick UI Artboards, Then Have Claude Build One (Melvin Vivas on X · notes) and 4 more - aibackends (Python package) · tool · pypi.org · free
A Python package installed with pip and shown in the post's caption; it seems to be connected to the demo.
Try this
- Try Claude Design to build an interactive demo of an AI concept.
- Install the package with `pip install aibackends` and look at what it offers.
- Use Claude Design to build an interactive visual explainer of how embeddings work: text becomes vectors, and similar meanings sit close together.
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