# DefaultTaste

- **Event:** [Gemini 3 Singapore Hackathon](https://cerebralvalley.ai/e/gemini-3-singapore-hackathon)
- **When:** Sat, Mar 7 at 9:00 AM – 10:00 PM (GMT+8)
- **Where:** Location TBA
- **Placement:** 1st Place
- **Team:** [Ilham Firdausi Putra](https://cerebralvalley.ai/u/ilhamfp), [Aufa Husen](https://cerebralvalley.ai/u/aufahr)
- **GitHub:** https://github.com/ilhamfp/defaulttaste
- **Demo video:** https://www.loom.com/share/c13cd31350cb446994fc167ecc96918b
- **Gallery:** https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery/44

Agent Taste Profiling as a Service!!
- **DefaultTaste** is a platform that reveals the hidden aesthetic preferences of AI agents.
- It works by probing an agent repeatedly across many generations, then measuring the patterns it keeps returning to, such as colors, fonts, layouts, genres, tempo, and mood.
- The result is a clear **taste profile** plus a **correction prompt** that helps users override those defaults.
- The problem it solves is that most people judge AI from a single output, which hides the model’s underlying bias and stylistic tendencies.
- In practice, this means creators often ship outputs shaped more by the model’s default taste than their own intent.
- DefaultTaste makes those defaults visible and actionable, so developers, designers, and creators can steer AI outputs toward something more original, intentional, and differentiated.

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Markdown version of https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery/44. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt