Rowan’s wardrobe problem wasn’t a lack of clothes. It was having to think about them.

Most defaulted to a black T-shirt and jeans, but he wanted to develop a more interesting wardrobe without creating the daily mental clutter of a closet full of possibilities. So, naturally, he did what a tech nerd would do: turned getting dressed into a system.

The plan: one outfit for each day of the week, for each season, plus gym and lounge looks—30 outfits in all.

He gave ChatGPT full-body photos, measurements, preferred colors and some very specific style details, then handed it a master prompt. The result was an app containing 30 looks and 70 virtual try-on images, with Rowan himself appearing as the model. The app even pulls in local weather so the recommended outfit can change depending on what’s happening outside.

And this isn’t just a one-shot image-generation exercise. If Rowan can’t find a particular garment, the app can update the model and have the wardrobe rebuilt.

Want to spiff up your wardrobe? The full step-by-step workflow and master prompt are available in the Rundown’s Workflow Hub.

From Rich: “I built Show Hole to solve my family’s classic streaming problem: we spend too much time deciding what to watch, and the answer changes depending on who is actually on the couch.

We each have different tastes, but the more interesting problem is that our tastes overlap differently in different combinations. I watch one kind of thing with my spouse, my spouse watches something different with our kid, and my kid and I have our own lane too. Most recommendation tools flatten that into one account profile, one watch history, or broad genre buckets, so they miss the real context of a household.

Show Hole treats people and viewing contexts as first-class citizens. It recommends titles “in the vein of” something we liked, filters recommendations to the streaming services we actually subscribe to, avoids titles that the people present have already seen or vetoed, and explains why a recommendation fits tonight. I designed the app using Claude Design, then used those designs with Claude Code to build it.”

A standard lesson isn’t necessarily a lesson every student can access. Evelyn uses AI to adapt the same underlying assignment to an individual student’s interests and ways of responding—without uploading student data.

“I moved from public school to a private school with no autism-specific training, and I found students on the spectrum struggling with one-size-fits-all lessons. AI helped close that gap for both me and my students in about five minutes per lesson.

I take a standard lesson and rebuild it around the individual student. I upload only the blank assignment—never any student data—and prompt AI to adapt it to that learner. I include their favorite colors and niche interests, replace abstract examples with personalized ones, add sentence starters, and allow them to draw responses instead of writing dense paragraphs.”

View Evelyn’s workflow here.

You may recall this story I introduced earlier this year: Paul Conyngham introduced Gamgee, a Y Combinator-backed startup building mRNA cancer shots matched to the mutations in a single dog’s tumor, just months after he made one with ChatGPT and AlphaFold for his own dog Rosie. Here’s how it began:

• Several vet visits over 11 months missed Rosie’s mast cell cancer, and once surgery, chemo, and immunotherapy all failed, her outlook fell to just months.
• Conyngham used AI tools for the science and analysis, with UNSW then developing a personalized vaccine that helped reduce Rosie’s tumors.
• Sam Altman met with Conyngham in March following the initial story, saying it had him thinking that “this should be a company.”

Now, Australian vets are hosting the first trials, with Gamgee taking cases worldwide and managing the custom design, treatment, and monitoring end-to-end.

As reported at The Rundown: “Saving dogs is a mission we can get behind, and Conyngham’s story is an amazing example of being able to just do things in the AI age. The hope is also that the start of personalized cancer treatments doesn’t end at dogs, and AI is going to be a major driver of pushing the same sort of research forward into the human realm.” Only time will tell. But it’s a big step in the right direction.

Sofia in London, England, recently dug into wine pairings but felt it was a strain initially, until…:

“I’ve recently started a wine subscription, and while I know which wines I prefer, I’ve never been great at pairing them with food. I’ve finally solved this by setting up an AI workflow to manage my wine pairings. Every time my subscription arrives, I snap photos of the labels so the AI can index the vintage and tasting notes.

Now, when I finish my weekly shop, I just upload the receipt; the AI parses the ingredients and cross-references them against my wine inventory to generate a 7-day pairing schedule. It’ll even warn me if I’m about to waste a high-tannin Bordeaux on a mid-week stir-fry, suggesting a cheap bottle of plonk from the corner shop instead! My husband, a total wine connoisseur, says it hasn’t been wrong yet.”

What began as a private solution for one gardener became useful enough that other gardeners wanted it, too—so climate-zone settings were added.

Thy asked: “What do you do when your wife says you talk about AI too much? You listen to her, and when she has a problem, you frantically write it down and build it with AI.

My wife enjoys working with her plants. She’s new to gardening and is learning each day, but was having trouble keeping track of everything. Which tree did she plant in the front yard last year? It seemed to be struggling — would it do better somewhere else? And would rain reach the potted flowering planters while we were out of town, or would she need someone to help?

I used Claude Code and Fable to develop an app that my wife could run on her phone, with all the data stored locally. Now she’s excited about ‘her app’ and the things she can add to it. She has even shared it with others, including people across the country, so we added climate zone settings to make it useful in other parts of the country.”

See Thy’s full workflow here.