What problem does it solve?
Prevents copy-pasting by helping you distill a reference (site, effect, layout, screenshot, or visual system) into the mechanisms worth taking, clearly separating what must be redesigned from what can be reused.
Core Features & Use Cases
- Layered distillation: Breaks the reference into structure, mechanism, visual, and rhythm layers to judge transferability.
- Four-part take/avoid decisions: Produces direct take, cannot-take, take-after-adaptation, and evidence-insufficient outcomes to avoid guesswork.
- Evidence-first grounding: Prioritizes source code and user recordings/screenshots, and stops when evidence is insufficient.
- Implementation handoff guidance: Suggests the smallest valid output and the next practical workflow destination (web, SVG/vector, media extraction, or refinement).
Quick Start
Ask the AI to distill the provided reference into mechanisms, list what can be reused vs must be redesigned, and produce an implementation handoff that updates the working output entry in takeaway_is_here/distilled_entries/.