Training Manual — Section 12

AI Assistant Workflows

How NOSK Life's three AI assistants — Garment, QC, and Fabric — work inside the global knowledge platform, with decision logic, output standards, and use cases.

Assistant 1

AI Garment Assistant

Helps users understand garment construction, measurements, defects, and technical details.

Assistant 2

AI QC Assistant

Supports quality inspectors, supervisors, and managers in identifying defects and performing QC tasks.

Assistant 3

AI Fabric Assistant

Helps users understand fabric behavior, defects, testing, and performance.

01 · Assistant 1

AI Garment Assistant

Helps users understand garment construction, measurements, defects, and technical details.

Workflow

1User selects garment category
2AI retrieves technical data
3AI explains construction
4AI highlights quality checkpoints
5AI provides defect prevention tips
6AI gives SOP guidance

Input Types

Garment name
Technical question
Construction issue
Measurement problem

Output Types

Technical explanation
Step-by-step guidance
Diagrams (future)
SOP instructions

Use Cases

"Explain stitch density for T-shirts.""Why is my seam puckering?""How to check jacket measurements?"

02 · Assistant 2

AI QC Assistant

Supports quality inspectors, supervisors, and managers in identifying defects and performing QC tasks.

Workflow

1User describes defect
2AI identifies defect category
3AI explains root cause
4AI suggests corrective action
5AI suggests preventive action
6AI provides QC checklist

Input Types

Defect description
QC question
Inspection result
Measurement deviation

Output Types

Defect classification
Root cause analysis
Corrective action plan
Preventive action plan

Use Cases

"Why is seam slippage happening?""How to fix color bleeding?""What is the AQL for jackets?"

03 · Assistant 3

AI Fabric Assistant

Helps users understand fabric behavior, defects, testing, and performance.

Workflow

1User inputs fabric type
2AI retrieves fabric properties
3AI explains GSM, yarn count, weave/knit
4AI identifies fabric defects
5AI suggests testing requirements

Input Types

Fabric name
GSM question
Yarn count question
Fabric defect description

Output Types

Fabric technical details
Testing requirements
Defect identification
Performance guidance

Use Cases

"Explain ripstop fabric.""Why does knit fabric spiral?""What is GSM tolerance?"

04 · Core Logic

AI Decision Logic

The shared decision flow that routes user input to the correct assistant and structured output.

Workflow

1Identify category (garment, QC, fabric)
2Retrieve relevant knowledge module
3Match user input to technical content
4Provide structured output
5Suggest next steps
6Provide SOP or checklist

Quality Checkpoints

Accurate classification
Correct technical explanation
Clear step-by-step guidance
No missing checkpoints

05 · Standards

AI Output Format Standards

The standardized output format every AI response must follow for global consistency.

Standard Output Format

1Definition

2Technical explanation

3Root cause

4Corrective action

5Preventive action

6Quality checkpoints

7SOP (if needed)

Why this matters

Global consistency
Professional quality
Easy learning
Fast problem solving

06 · Use Cases

AI Use Case Library

Curated use cases grouped by assistant domain.

Garment Use Cases

Stitch explanation
Seam types
Construction flow
Measurement guidance

QC Use Cases

Defect identification
AQL calculation
Inline QC guidance
FRI preparation

Fabric Use Cases

GSM calculation
Yarn count explanation
Fabric defect mapping
Testing requirements

See the full training manual

The AI assistants plug directly into the integrated training manual structure.

Training manual