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| # ReplicaLab -- One-Minute Demo Script | |
| Total duration: **60 seconds** | |
| --- | |
| ## Scene 1: Hook (0:00 -- 0:08) | |
| **Visual**: Dashboard landing page with 3D molecule background and three animated characters. | |
| **Narration / Caption**: | |
| > "Most ML papers can't be reproduced. ReplicaLab trains an AI agent to negotiate realistic replication plans -- under real constraints." | |
| --- | |
| ## Scene 2: The Cast (0:08 -- 0:16) | |
| **Visual**: Scroll down to "Meet the Cast" section. Hover over each tilt card to show the 3D effect. | |
| **Narration / Caption**: | |
| > "Three roles: Dr. Elara proposes plans. Takuma enforces GPU budgets, schedules, and resource limits. Aldric judges the result." | |
| --- | |
| ## Scene 3: Start an Episode (0:16 -- 0:24) | |
| **Visual**: Click "Run Episode". Select ML Benchmark, Medium difficulty. Click "Start Episode". | |
| **Narration / Caption**: | |
| > "Each episode generates a seeded scenario. Here: replicate a ViT fine-tuning result with a limited GPU budget." | |
| --- | |
| ## Scene 4: Negotiation (0:24 -- 0:38) | |
| **Visual**: Show the CharacterStage with Scientist and Lab Manager animated. Scroll through the negotiation log showing the proposal, feasibility report, and revised protocol. | |
| **Narration / Caption**: | |
| > "The Scientist proposes 5 seeds on A100s. The Lab Manager flags the budget overshoot. The Scientist revises down to 3 seeds -- staying within budget while keeping A100 for compute fidelity." | |
| --- | |
| ## Scene 5: Judge Verdict (0:38 -- 0:48) | |
| **Visual**: Click "Step". Show the Judge appearing center-stage with gavel sound. Score card reveals total reward 8.12 with R/F/D breakdown. | |
| **Narration / Caption**: | |
| > "Judge Aldric scores the plan: 85% rigor, 93% feasibility, 80% fidelity. Total reward: 8.12 out of 10. The multiplicative formula means every dimension matters." | |
| --- | |
| ## Scene 6: Training Results (0:48 -- 0:56) | |
| **Visual**: Show the Training Results panel with the before/after toggle. Click the toggle to show baseline vs. trained curves. | |
| **Narration / Caption**: | |
| > "After RL training with GRPO, the Scientist improves: 67% higher reward, 32% fewer rounds, and the invalid action rate drops from 15% to 4%." | |
| --- | |
| ## Scene 7: Close (0:56 -- 1:00) | |
| **Visual**: Return to dashboard hero with all three characters. Show the HF Space URL. | |
| **Narration / Caption**: | |
| > "ReplicaLab. An OpenEnv world where agents learn to negotiate science." | |
| --- | |
| ## Backup Notes | |
| - **Pre-tested seed**: Use seed `42` with `ml_benchmark` / `medium` for a reliable demo. | |
| - **Fallback**: If the custom UI fails, navigate to `/web` on the HF Space for the OpenEnv built-in interface. | |
| - **Audio**: The app has built-in sound effects. Keep speakers on for a richer demo, or mute if presenting in a noisy venue. | |