OpenAI's debut of the new GPT-5.6 model sparked the usual ritual of benchmark charts and discussions about whether it's really smarter than the latest version, but CEO Sam Altman asked for a little more this time. He publicly asked to see what people actually built with it.
I'd love to see cool things people have built with 5.6 sol. I'll send the person who made the coolest thing a special gift from the Openai archives.July 12, 2026
That led to a much more interesting display. Developers responded with all kinds of ideas, pilot projects, and even full services. It makes sense, since OpenAI claims that GPT-5.6 is better at coding and more reliable for long tasks. Seeing them become real software says a lot more than a launch blog ever could. Here are five that stood out among the deluge.
ChatGPT Companion
A new way to interact with AI pic.twitter.com/7ip7JPijLOJuly 12, 2026
The Kitsune Agent Lab demo almost makes the chat window look old-fashioned. The AI agent is assigned a goal and continues with its work, moving between different tools, making decisions and keeping track of what it has already done.
The interesting part is how motivated the AI agent seems to keep going and how good it is at remembering what it did before. The developers had been asking for something like this for a long time. AI is much more useful when it can finish the job rather than simply suggesting how you could do it yourself.
financial talk
Hi @sama, I built a Gameboy emulator for New York that streams real-time city data (subway, weather, ferries, etc.), all layered on a 3D map of New York! All data exists in a spatial intelligence layer that agents can use to experience your favorite places in the city! Should I do SF next? pic.twitter.com/uo0niBRvR5July 13, 2026
One of the most charming projects makes New York City look like it's inside an original Game Boy. It comes complete with thick pixel graphics, but runs on a live digital map of New York that pulls in real-time information, including subway trains, weather conditions, and ferry movements. Instead of wandering around a fictional RPG world, you're exploring a small, pixelated version of the city.
A project like this requires much more than generating a few lines of code. It brings together live data feeds, mapping, interface design, and a lot of troubleshooting into something that feels polished rather than experimental. It's one of the reasons developers are excited about GPT-5.6
AI Wardrobe
I gave him 5.6 soles access to my camera roll and asked him to extract images of each garment I own from my photos. Then I told it to find new sets for me and render them to me with gpt-image. It's great to see your entire wardrobe in a collection like this pic.twitter.com/SV796uScrBJuly 13, 2026
This project uses GPT-5.6 to create a sleek AI wardrobe assistant that organizes clothes, suggests outfits, and presents everything through an interface that looks more like a premium consumer app than an experimental AI demo.
It is an impressively complete experience. The app offers users a visual, interactive way to explore their clothes and receive recommendations based on what they already own. The demo also highlights the strength of GPT-5.6 for developers to create complete applications rather than isolated functions. It brings together interface design, imaging, organization, and intelligent recommendations that would normally require stitching together multiple complex systems. GPT-5.6 seems to handle a lot of that heavy lifting.
Pokémon Go, but for neighborhood cats
A developer created a game completely based on the real world called CatchCat. It's like a digital expansion of a cat scavenger hunt. Point your phone at a real cat, let the app verify the sighting with its camera, and turn that encounter into a collectible digital cat card with its own personality, rarity, and place in your growing album. It's essentially a creature collecting game where the creatures are the neighborhood cats you know.
Players can build collections, explore community sightings, compete with friends, and gradually fill a living scrapbook of feline encounters, all wrapped up in a polished interface that wouldn't look out of place on the App Store or Google Play. Building something like CatchCat means juggling computer vision, mobile development, backend services, and game design.
Good taste trips
He created Atlas Mode for Pearl, an interactive globe that integrates data about the world's best places + your taste profile to discover and book restaurants, hotels, bars, wineries and flights. Used 5.6 Sol Ultra + GPT Voice 2.1 pic.twitter.com/b4LlPC7BZRJuly 13, 2026
One of the most ambitious projects, Atlas Mode for Pearl, is an interactive globe that turns trip planning into something more like exploring a living map. Instead of typing destination names into a search box, users can rotate the globe, discover places visually, and receive recommendations for restaurants, hotels, and more that fit their personal tastes.
It has an impressive number of moving parts working behind the scenes. The app combines geographic data with an individual taste profile and then places AI recommendations directly on an interactive globe. It even has an audio aspect thanks to GPT Voice 2.1. You can talk about vacation ideas instead of endlessly modifying search filters.
That's a recurring theme among the projects the developers were quick to show Sam Altman. AI is no longer the product itself. Increasingly, it is the engine that quietly drives the products that people may want to use.
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