MoChat
"I speak to you directly"
MoChat will provide AI-powered conversational coaching, advice, and education.
Status: ❌ Future (all systems planned)
Systems
| System | Name | Status | Description |
|---|---|---|---|
| MoVoice | "The Conversationalist" | ❌ Future | AI chat interface |
| MoAdvice | "The Counselor" | ⚠️ Partial | Contextual recommendations |
| MoEducate | "The Teacher" | ❌ Future | Training education |
Vision
MoChat will be your personal AI training coach:
User: "Why am I not making progress on bench press?"
Mo: "Looking at your data, I see a few things:
1. Your RPE has been consistently at 9+ for the last 3 sessions -
you might be going too heavy.
2. Sleep has averaged 5.8 hours this week - recovery matters!
3. You've been at 185 lbs for 6 sessions. This is a classic plateau.
I'd recommend:
- Drop to 175 lbs (95%) for 2 weeks
- Focus on 8-10 reps instead of 6
- Prioritize getting 7+ hours of sleep
Want me to adjust your workout plan?"
Planned Features
Conversational AI
- Natural language queries
- Context-aware responses
- Personalized to your data
- Voice input (future)
Proactive Coaching
- Daily check-ins
- Warning about overtraining
- Celebration of PRs
- Goal reminders
Educational Content
- Exercise form tips
- Training principles
- Nutrition basics
- Recovery optimization
Vertical Interface (Planned)
interface MoChatInterface {
// Conversation
sendMessage(userId: string, message: string): Promise<ChatResponse>;
getConversationHistory(userId: string, limit: number): Promise<Message[]>;
// Advice
getDailyTip(userId: string): Promise<Tip>;
getContextualAdvice(userId: string, context: string): Promise<Advice>;
// Education
getArticle(topic: string): Promise<Article>;
explainConcept(concept: string): Promise<Explanation>;
}
Technical Approach
Will use LLM (Claude/GPT) with:
- User data as context
- Training knowledge base
- Exercise database
- Safety guardrails
Implementation Priority
MoChat is a Phase 8+ feature, after core training features are complete.