Decision Gym is a gym for your judgment.
We make our biggest calls on gut feel, then never learn if we were right. Decision Gym changes that. You lock in your gut and your confidence, estimate the payoffs, and it shows you the expected-value math, a clear recommendation, and the bias behind your call. Over time, it tracks how calibrated your judgment becomes.
Built end to end in Figma. Written as a spec, prompted into Figma Make, refined in chat, published as a live site. No code by hand.
Generation is cheap now. Judgment is the edge.
Live app: https://flower-plugin-92759538.figma.site
(https://flower-plugin-92759538.figma.site)Figma file: https://www.figma.com/community/file/1649416974186156066
Built for #ConfigMakeathon @figma
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Recipe2Reel 🍳! Built for #ElevenCreative challenge
Cooking creators spend hours filming, editing, and narrating content. Recipe2Reel removes all of that.
Upload a photo of your finished dish. Add your ingredients, recipe, and pick a language. Just those things will get you a shareable cooking video with voiceover and music. Make a French Omelette in Spanish. Pasta Carbonara in Japanese. Palak Paneer in Portuguese. Any dish, any language, zero filming!
This was built on ElevenLabs Flows and chains image gen, video gen, TTS, and audio into a single template anyone can run. Even the explainer video linked here was built on ElevenLabs end to end!
👉 Try the template: https://elevenlabs.io/app/templates/U0lR6MOwuzmRMycjYzrL
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Here’s my submission for the Google Stitch Challenge
A vibe mapping product called Drift! It started with a small idea: what if a map could feel like the place it shows?
What is it and what does it do?
DRIFT turns every neighbourhood into its own visual identity. As a p0, starting with London. Camden is a punk zine. Chelsea is an oil painting. Soho is manga. Brixton pulses with Caribbean folk art. 93 neighbourhoods, 12+ art styles. All of these were derived from real Google Maps Platform data. The art style IS the information. APIs: Maps JavaScript API, Places API (New), Geocoding API.
How I Built It?
Every screen was built through Stitch’s streaming agent by describing what I wanted, watching it generate live, correcting through the agent. For all screens, I used variants to explore different art directions. DESIGN.md captured the emergent design system; I exported and re-imported it for consistency. I then prototyped in Play Mode, then exported to AI Studio and deployed on Cloud Run. Features used: Streaming Agent, Agent Manager, Variants, DESIGN.md Export/Import, Play Mode, Code Export.
Stitch Feedback
What I loved: Image quality is exceptional. I almost want to print and frame some the art it generated. Variants are absolutely essential for creative work and generating variants once saved me a lot of back and forth. The workspace itself is very smooth with low latency. Fantastic selection of export integrations available, with key platforms covered.
What could be made better: Context doesn’t persist between screens (need a “project rules” feature). Undo wipes entire history, not just the last change. Chats are not threaded in the same way as other genAI chatbots, which took a bit of getting used to. Exports to build envirenments outside of AI Studio is restrictive (I tried Lovable as well and could only export 10 screens).
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My first attempt at any type of video making! It's very basic, but I'd rather pay the embarrassment tax than the regret tax! :) Amazing contributions from other participants!
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