What problem does it solve? It prevents over-engineering by forcing the AI to deliver the simplest, shortest working solution instead of speculative abstractions, boilerplate, and unnecessary dependencies. ## Core Features & Use Cases - Simplicity Ladder: A six-step decision reflex that prioritizes skipping work, stdlib, native platform features, and existing dependencies before writing new code. - Three Intensity Levels: Switch between lite, full, and ultra modes with /ponytail lite|full|ultra to control how aggressively simplification is enforced. - Accountability Markers: Deliberate shortcuts are tagged with ponytail: comments naming the ceiling and upgrade path, and non-trivial logic ships with one minimal runnable check. - Use Case: Ask for a response cache and receive @lru_cache(maxsize=1000) with a one-line note on what was skipped, instead of a custom TTL cache class. ## Quick Start Ask the assistant to implement any feature and it will apply the ponytail ladder to return the shortest working solution with a brief note on what was skipped.