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Running on Zero
Running on Zero
| # Hackathon Prize Map | |
| ## Primary Trail: Thousand Token Wood | |
| Judging criteria and build response: | |
| - Genuinely delightful: optimize the first 15 seconds for surprise, humor, and visual polish. | |
| - AI is load-bearing: make every turn visibly generated by agents from ledger context. | |
| - Originality: frame the app as a tiny theater engine, not another chat UI. | |
| - Polish of Gradio app: custom theme, live state, examples, demo mode, and a strong opening seed. | |
| ## Secondary Prizes | |
| - Community Choice: make the app instantly shareable, with funny generated moments and a short public demo clip. | |
| - OpenAI Track: keep a clean provider abstraction and document the small-model orchestration pattern. | |
| - Tiny Titan: maintain a <=4B mode and show how specialization compensates for model size. | |
| - Best Agent: expose the judge/conductor/agent loop clearly and make agent behavior inspectable. | |
| - Off-Brand UI: push Gradio past defaults with custom CSS and a stage-like layout. | |
| - Best Demo: prepare a concise story arc, recorded run, screenshots, and social post copy. | |
| - Judges' Wildcard: preserve the weirdness. Do not sand the concept down into a generic framework demo. | |
| ## Demo Success Bar | |
| Within 90 seconds, a judge should understand: | |
| 1. This is a playful AI-native toy. | |
| 2. Multiple small agents are doing different cognitive jobs. | |
| 3. The ledger makes the system observable and resilient. | |
| 4. The user can disturb the world and get surprising consequences. | |