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v2.0.0 — Mode-Based Learning Architecture

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@lingarobotics lingarobotics released this 25 Jan 12:16
· 27 commits to main since this release
2a38a2e

🚀 What’s New in v2.0.0

This release introduces a mode-based learning architecture, transforming LGC Concept AI from a single-response system into a structured learning assistant aligned with real student behavior.


✨ Major Features

📘 Learn Mode (Enhanced)

  • Strict Anna University exam-oriented explanations
  • Aspect-aware answers (definition, working, comparison, etc.)
  • 13-mark depth handling
  • Scope-locking to avoid over/under answering
  • Optional Core Points / Mental Model extraction

⚡ Fast Learn Mode (New)

  • Quick clarity for last-minute learning or revision
  • Key takeaways only (no long explanations)
  • Explicitly not for deep learning or coding
  • UI guidance to redirect users to Learn Mode when needed

❓ Clear Doubt Mode (Standardized)

  • Precise doubt-only responses
  • No re-teaching or exam structuring
  • Designed for micro-clarifications

🧠 Teach-Back Mode (Core Philosophy)

  • Verifies understanding by evaluating student explanations
  • Encourages → checks correctness → identifies gaps
  • No re-teaching, no content dumping

🔐 Authentication & UX Improvements

  • Dedicated full-page Login / Register flow
  • Soft-auth gating (free usage before login)
  • Unified auth access across all modes
  • Cleaner, distraction-free UI

📚 Documentation

  • Mode-wise documentation added and standardized
  • Clear guidance on when to use which mode
  • Updated root README reflecting v2.0 architecture

🎯 Philosophy Reinforced

Learning needs investment in time and consistency — not money.

v2.0.0 focuses on clarity, structure, and confidence, not feature noise.


Recommended for all users.