From Concept to Explorer
Imouto scores every task within an occupation for AI automation exposure using Claude. The pipeline architecture is source-agnostic — pluggable data sources (O*NET for US, OSCA/JSA for Australia) feed a common scorer that produces a dataset with per-task scores, AI tool suggestions, and rationale.
Multi-Country Support
The dataset schema (v2.0) supports multiple countries with country, source, native_code, and matched_id fields. The US-AU occupation matcher uses Claude for semantic matching, enabling cross-country comparison views.
SvelteKit Frontend
An interactive explorer lets users search occupations, view task breakdowns with colour-coded automation levels, and compare US/AU equivalents side by side.