📦 Module at a glance

A modular UX-driven framework for AI annotation teams

💡 This is a training and decision-making asset designed for real-world annotation workflows. Each block is standalone, yet part of a coherent system.

Block Why it matters Form
1 Shift mindset from human to model UX guide
2 Show how the model processes input Tech primer
3 Identify common annotation errors Checklist
4 Prove impact through a real example Microcase
5 Help integrate the knowledge into teams Strategy doc

✅ Each part solves a specific pain point — from onboarding to QA to cross-team alignment.

📌 This module can be reused, adapted, or expanded based on client or product needs.

Table of content

🔹 Block 1 — How a model “thinks”

🔹 Block 2 — How the model works

🔹 Block 3 — How annotation fails when we think like humans

🔹 Block 4 — Microcase: same input, different outcome

🔹 Block 5 — Summary & Integration

🔚 This module is flexible, practical, and scalable.