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VS Fit QC Plugin

AI-assisted fit quality control from tension and pressure heat maps, with an optional multi-agent written analysis report.

Overview

VS Fit QC captures tension, pressure, and textured renders for all views of the garment, scores each view against a category threshold profile (casualwear, activewear, denim, etc.), and produces a multi-page PDF report. AI Analysis is off by default — the core scoring/PDF pipeline never contacts the network unless you turn it on. With it enabled, six specialized Claude agents add a written fit report: garment identification, fit standards citation, overall fit summary, key areas of concern, pattern-data analysis, recommendations, and a final prioritized adjustment schedule.

Requirements

  • VStitcher 2026.1.4 or newer

  • Anthropic / Gemini API Key required for AI Analysis

How to Run a Fit QC Report — Without AI Analysis

This is the default flow: scoring and the PDF report, no network calls.

Step 1: Run Fit QC

Open VS Fit QC against an open garment and click Run Fit QC. It captures tension, pressure, and textured renders for all views and scores each against the category profile.

Step 2: Review the Report

Every run produces a timestamped folder in ~/Downloads/Plugin Output/VSFitQC/<GarmentName>_<timestamp>/:

Reports are safe to zip and share.

How to Run a Fit QC Report — With AI Analysis

Adds a written, multi-agent fit report on top of the same capture/scoring pipeline. Requires your own Anthropic API key and is off until you explicitly turn it on.

Step 1: Enable AI Analysis

Click the AI Analysis toggle (top of the panel, off by default). The first time, a consent overlay explains exactly what gets sent to Anthropic — rendered images and pattern geometry — and asks you to confirm before anything is transmitted.

Step 2: Choose Analysis Depth

Pick a depth for the AI pass:

Depth

Behaviour

Quick

Faster, lighter

Standard

Default

Thorough

Deeper reasoning, slower

Step 3: Run Fit QC

Click Run Fit QC as usual — the capture and scoring pipeline runs the same way, with the six-agent AI analysis added on top.

Step 4: Review the Report

Same output folder and PDF as the non-AI flow, now with the written fit analysis (standards citation, key areas of concern, recommendations, prioritized adjustment schedule) included.

Troubleshooting

An AI run that fails silently should be checked against the debug log (captures every AI agent call with model, token budget, and outcome) at Browzwear/VStitcher/Logs/vs-fit-qc/vsfitqc_ai_debug.log.

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