Research · AI × garments

Preserving technical memory without automating away judgment.

My long-term research theme is a garment knowledge assistant that helps teams retrieve relevant, validated historical learning while protecting confidential source material.

Concept model

CommentsImagesSample stagePattern actionOutcome
Structured, permission-aware knowledge layerRelevant precedent
with evidence and confidence
RetrieveCompareExplainDecide

Research questions

The hard problems are technical and human.

01

Taxonomy

How should knowledge be indexed across style, design, sample stage, issue, action and result?

02

Evidence quality

How can the system keep assignments, proposals, completed actions and validated outcomes distinct?

03

Confidentiality

How can useful relationships be preserved while employer and buyer sources remain restricted?

04

Human judgment

How should retrieved precedent support—not replace—the accountable technical professional?

Current status

A research concept, not a production product.

The taxonomy and evidence model are being developed through structured professional records. No claim is made that the system currently diagnoses fit, generates production-ready patterns or replaces a pattern maker.

The next meaningful milestones are a safe sample dataset, retrieval evaluation criteria, permission classes and a small prototype that always shows provenance and uncertainty.

Read the concept study →