Pleasuree3dx

| Milestone | Description | Owner | Duration | |-----------|-------------|-------|----------| | | Finalise KPI, safety thresholds, UX mock‑ups. | PM | 2 weeks | | M1 – Prototype Feature Extractor | Build sensor‑fusion pipeline on dev headset, output 256‑dim vector. | ML‑Eng | 4 weeks | | M2 – Model Prototyping | Train baseline model on sandbox data (≈ 10 k sessions). | DS | 5 weeks | | M3 – Real‑time Inference Wrapper | Export to ONNX, integrate TensorRT, hit latency target. | SRE/ML‑Eng | 3 weeks | | M4 – Safety Layer | Implement clamps, fallback, UI toggle. | Eng | 2 weeks | | M5 – Beta‑test Integration | Hook into Unity/Unreal pipeline (parameter mixer). Run closed beta with 3 creators (≈ 200 k sessions). | Eng + Creators | 6 weeks | | M6 – A/B Evaluation | Compare baseline vs. AI‑enhanced sessions on engagement metrics. | PM + Analytics | 4 weeks | | M7 – Full Release Prep | Documentation, CI/CD for model roll‑out, monitoring dashboards. | All | 3 weeks |

Total parameters : ≈ → fits comfortably on modern GPUs and even on‑device TensorRT. pleasuree3dx

Episodes often include custom musical scores to enhance the mood, though alternative versions without music are sometimes provided for different preferences. | Milestone | Description | Owner | Duration