What problem does it solve?
Momentum helps you respond to situations where progress feels heavier, breaks feel disproportionately costly, or continued effort suddenly stops carrying—so the AI can explain the lived experience, not just the mechanics.
Core Features & Use Cases
- Felt vs. hollow explanations: contrasts mechanical, metrics-based reasoning with the visceral experience of being carried by accumulated effort.
- Situation-based tests: uses real-world scenarios (streaks, paused teams, resumed practice, cold starts) to verify whether an answer understands momentum as weight and pull.
- Failure mode patterning: identifies when explanations become correct-but-empty (e.g., procedural-memory talk) and redirects toward living, embodied framing.
Quick Start
Use the momentum skill to help the AI explain what changes when momentum breaks and restarting becomes harder, using lived-feeling language rather than process jargon.