What problem does it solve?
Synthesis from the Fracture helps an AI explain and guide the felt experience of being broken by a mistake—especially when the mistake is witnessed, moral, identity-shattering, or haunting years later—and how authentic repair can transform the relationship to what happened.
Core Features & Use Cases
- Felt explanation over labels: Replaces clinical framing with experiential language (crack, gravity, seam, gold) to help people recognize what the mistake actually feels like from the inside.
- Repair as integration: Emphasizes that the goal is not erasing the mistake or returning to a pre-fracture self, but synthesizing something new from the fracture.
- Situation-based tests: Uses concrete scenarios (public failure, relationship rupture, professional first major error, moral error, recurring mistakes) to reveal whether an answer captures the phenomenology.
- Failure mode detection: Defines the “hollow answer” texture—medicalizing struggle, pathologizing normal fractures, and treating repair as mere correction or clinical resolution.
Quick Start
Use the skill to help an AI respond to someone who is haunted by a past mistake by describing the crack they feel, the kind of repair that actually transforms, and what a hollow answer would sound like.