Skip to main content

Technical Architecture

Feedbacks / Questions​

  1. Onboarding Agent
  2. Notification Agent (where we can send targeted emails/notifications to bring back the user for practice, and keep them on track to achieve their goal)
  3. Revise Agent - Spaced repetition
  4. TODO / Queue Agent - That keeps track of things that we need to teach user about, instead of jumping to it right away
    1. We can have a queue that keeps track of what we need to achieve and other agents can pull from this and make a learning plan for the user dynamically
  5. Fallback agent - that tries to satisfy user request to best of its ability

Core Innovation​

Not just ChatGPT wrappers - we build real adaptive learning systems

1. Real-Time AI Question Generation​

  • Generate infinite personalized questions on-demand
  • Contextual to learner's weak areas
  • Adaptive difficulty based on performance
  • Multi-modal (code, SQL, system design, MCQ, essays)

2. Algorithmic Adaptivity (IRT/BKT)​

  • IRT (Item Response Theory): Match learner ability to question difficulty
  • BKT (Bayesian Knowledge Tracing): Track probability of concept mastery
  • Real-time difficulty adjustment (not static question banks)
  • Mastery-based progression (can't advance until 80% correct)

3. Multi-Agent Architecture​

  • 10+ specialized AI agents (not one general chatbot)
  • Each optimized for specific task
  • Coordinated via central orchestrator
  • See agent details below

AI Agent System​

Agent 1: Tutor Agent​

  • Role: Explain concepts, answer questions, provide hints
  • Features: Socratic method, never gives direct answers, guides discovery

Agent 2: Mock Interview Agent​

  • Role: Conduct technical + behavioral interviews
  • Features: Real-time feedback, tracks body language (future), rates answers

Agent 3: Mentor Agent​

  • Role: Career advice, skill gap analysis, goal setting
  • Features: Personalized career paths, salary predictions, job recs

Agent 4: Code Review Agent​

  • Role: Review code quality, suggest improvements, best practices
  • Features: Performance analysis, security checks, refactoring suggestions

Agent 6: Project Guide Agent​

  • Role: Suggest projects, guide implementation, review outcomes
  • Features: Step-by-step guidance, code hints, debugging help

Agent 7: Assessment Generator Agent​

  • Role: Generate custom assessments from JD/topics
  • Features: JD parsing, skill extraction, difficulty calibration

Agent 8: Feedback Agent​

  • Role: Detailed explanations on wrong answers
  • Features: Error pattern detection, concept gaps, practice recommendations

Agent 9: Strength/Weakness Profiler Agent​

  • Role: Continuous skill assessment, visual dashboards
  • Features: Skill heatmaps, growth tracking, peer comparisons