Human Intelligence for AI Apps

User: "I'm facing a complex career decision..."
AI App: [Provides generic advice based on training data]
User: "This doesn't really apply to my situation"
AI App: [Can't help further - reaches limit of capabilities]

User: "I'm facing a complex career decision..."

AI App: [Analyzes with AI]
AI App: [Detects complexity requiring human judgment]
AI App: → Seamlessly connects to career expert via myweave
Career Expert: [Provides personalized, contextual advice]
AI App: [Synthesizes expert wisdom with AI insights]

Result: User gets AI speed + human expertise in one seamless experience

async function handleUserRequest(message, context) {
  // AI handles routine productivity tasks
  const aiResponse = await productivityAI.assist(message);
  
  // Detect if human coaching needed
  if (requiresHumanWisdom(message)) {
    // Seamlessly integrate leadership coach via MCP
    // AI tool can execute this directly through MCP server
    const coachResponse = await myweave.chat({
      message: message,
      context: {
        coachId: "leadership_coach_123",
        mode: "leadership"
      }
    });
    
    return {
      response: coachResponse,
      source: "human_expert",
      type: "coaching"
    };
  }
  
  return {
    response: aiResponse,
    source: "ai",
    type: "productivity"
  };
}

User → AI App: "Start a chat with a leadership coach about team management"

AI App:
├─ Recognizes need to call myweave
├─ Uses MCP tool: chat
├─ Executes: POST /chat with proper parameters
├─ Handles: Streaming response and thread management
└─ Returns: Expert's advice to user

All automatic. All seamless.