HandiProducts · Internal Tools

🏷️ Self-Learning Image Tagging

Design documents and working mockups for the AI-powered image tagging system. Still in planning — nothing is built yet.

🟡 Status: Design phase. These are thinking tools, not a live system. Review, discuss, then we build it once.
Documents
📎
Reference
EXIF Metadata — History & Anatomy
Visual breakdown of how metadata is embedded inside a JPEG file, plus the full history of EXIF/IPTC/XMP standards, industry adoption, and cross-platform support table.
Open reference →
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Tool Reference
exiftool — What It Is & How We Use It
The free CLI that reads and writes metadata inside image files. Covers key commands, the = vs += distinction, where it fits in the pipeline, and why we chose it over alternatives.
Open reference →
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Architecture
Self-Learning Loop Diagram
How the system works across cycles. Shows the feedback loop — from new images through agent tagging, human review, and distillation back into rules and training examples.
Open diagram →
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Documentation
How It Works Guide
Full walkthrough of the review process — step by step, tag reference, how your notes become rules, and why this approach beats proprietary SaaS tagging tools.
Open guide →
🖊️
Interface Mockup
Tag Review Form
What the review interface looks like. Image on the left, editable tag chips on the right, notes field for corrections. This is the screen you'd work through each batch in.
Open mockup →
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Architecture
Intake Pipeline
How raw files move from the NAS through sort, dedup, pHash rename, and AI tagging before landing in the human review queue. Shows how the living knowledge base connects to the tagging step.
Open diagram →