Andrew McGill shares a new demo he’s been working on — an AI-powered interior design assistant called Zhuzh — and wonders aloud: if this is just ChatGPT with a prettier interface, what’s the point? But maybe that is the point.

We go deep on:

* Why good UI still matters in the age of LLMs

* How purpose-built tools outshine general-purpose chat for many use cases

* Where wrapper apps land on the spectrum of AI product value

* The difference between novelty and utility

* What makes an AI idea ChatGPT-proof

Plus, honorable mentions: personalized podcast feeds, offline LLMs, and the dream of an air-gapped house AI.

We also commit to launching a small wrapper app of our own before the next episode. What should we make? Tell us in the comments.

Mentioned in the episode

Here are the products and articles we talked about (links TBD):

* Zhuzh, Andrew McGill’s AI-powered interior design demo

* OpenAI usage study (700M weekly active users)

* Flighty (flight tracking app)

* Renovate AI (home design tool)

* Post AI (Washington Post’s chatbot experiment)

* Notebook LM by Google

* Huxe (new personalized podcast app from former Notebook LM team)

* Ollama (run local LLMs)

* Reins (GUI app for local model management)

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