
📝 Output is being saved to: /Users/dorsa/Desktop/PROJECTS/synq_2/synqed-python/examples/intro/outputs/qualtrics_sales_run_20251117_175313.txt

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  QUALTRICS SALES AGENTIFICATION - 2026 VISION
  AI-to-AI Autonomous Agent Collaboration Demo
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🤖↔🤖 AUTONOMOUS AI-TO-AI INTERACTION DEMONSTRATION
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This demo showcases multiple scenarios of AI agents autonomously
discovering, communicating, and collaborating using the A2A protocol.

What makes this AI-to-AI (not just automation):
  ✓ Agents autonomously discover each other's capabilities
  ✓ Orchestrator AI delegates to specialist AIs without human input
  ✓ Multiple AI agents execute work in parallel
  ✓ Agents communicate via standardized A2A protocol
  ✓ Results synthesized by orchestrator AI automatically

You'll see 3 different AI-to-AI collaboration scenarios:
  1. Complex multi-agent sales preparation (5 agents)
  2. Quick research + content collaboration (2 agents)
  3. Deal-focused pipeline + quote workflow (2 agents)

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🏗️  Building Specialized Sales Support Agents...

Creating agent executors (the 'brains' of each specialized agent)...
Each agent will use GPT-4o-mini with custom system prompts

✓ Real-time message display enabled - you'll see AI conversations as they happen!

🔍 Creating ResearchAgent...
   └─ Skills: Internal research, external research, opportunity identification
📝 Creating ContentAgent...
   └─ Skills: Presentation creation, proposal writing, demo scripting
📅 Creating AdminAgent...
   └─ Skills: Calendar management, note-taking, CRM updates, follow-ups
📊 Creating PipelineAgent...
   └─ Skills: Deal prioritization, risk detection, opportunity tracking
💰 Creating DealAgent...
   └─ Skills: Quote generation, QR calculation, partner identification

────────────────────────────────────────────────────────────────────────────────
✅ All 5 specialized agents created successfully!
────────────────────────────────────────────────────────────────────────────────

🚀 Starting Agent Servers (A2A Protocol Endpoints)...

Each agent will run on its own HTTP server using the A2A protocol.
This allows Qwin to discover and communicate with them.

Creating server instances...
✓ Server instances created

Starting servers in background...
  ✓ ResearchAgent: http://localhost:8001
  ✓ ContentAgent: http://localhost:8002
  ✓ AdminAgent: http://localhost:8003
  ✓ PipelineAgent: http://localhost:8004
  ✓ DealAgent: http://localhost:8005

⏳ Waiting for servers to be fully ready...
✓ Servers ready!

────────────────────────────────────────────────────────────────────────────────
✅ All agent servers are running and ready to accept tasks!
────────────────────────────────────────────────────────────────────────────────

🤖 Creating Qwin - The Orchestrator Agent...

Qwin will act as the 'Agent of Agents' - the central coordinator.
It uses GPT-4o (more powerful model) for intelligent task planning.

────────────────────────────────────────────────────────────────────────────────
✅ Qwin orchestrator created and ready to plan complex tasks!
────────────────────────────────────────────────────────────────────────────────

🏗️  Creating Orchestrated Sales Workspace...

The workspace enables:
  • Automatic task decomposition
  • Intelligent agent selection
  • Parallel execution where possible
  • Inter-agent communication
  • Result synthesis

Registering agents with the orchestrator...
(This allows Qwin to discover agents and fetch their capabilities)

  ⏳ Checking ResearchAgent availability...
  ⚠️  ResearchAgent not ready, skipping...
  ⏳ Checking ContentAgent availability...
  ⚠️  ContentAgent not ready, skipping...
  ⏳ Checking AdminAgent availability...
  ⚠️  AdminAgent not ready, skipping...
  ⏳ Checking PipelineAgent availability...
  ⚠️  PipelineAgent not ready, skipping...
  ⏳ Checking DealAgent availability...
  ⚠️  DealAgent not ready, skipping...

────────────────────────────────────────────────────────────────────────────────
✅ Orchestrated workspace ready with 0 specialized agents!
────────────────────────────────────────────────────────────────────────────────

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SALES SCENARIO: PREPARING FOR UPSELL OPPORTUNITY
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📨 Sales Rep Request:
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I have a meeting tomorrow at 2pm with TechCorp Inc. - they're an existing customer
    currently on our Customer Experience (CX) platform with 500 licenses.
    
    Their contract is up for renewal in 60 days, and I've heard they're expanding
    their employee experience initiatives. I want to:
    
    1. Understand their current usage and any opportunities for upsell
    2. Research their recent company initiatives and market position
    3. Create a compelling pitch deck for expanding to our Employee Experience (EX) platform
    4. Get a preliminary quote for adding EX licenses
    5. Schedule a follow-up meeting and prepare talking points
    
    Customer Context:
    - Company: TechCorp Inc.
    - Industry: Enterprise Software
    - Current Product: Qualtrics CX (500 licenses)
    - Contract Value: $250K annually
    - Renewal Date: 60 days out
    - Contact: Sarah Johnson, VP of Customer Success
    - Recent Intel: Company announced 30% headcount growth this quarter
    
    Help me prepare for this strategically important meeting.

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ORCHESTRATION PROCESS STARTING
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Phase 1: ANALYSIS
🤖 Qwin is analyzing the sales request...
   └─ Understanding requirements and context
   └─ Identifying needed capabilities

Phase 2: PLANNING
📋 Breaking down into specialized subtasks...
   └─ Decomposing complex task into manageable pieces
   └─ Identifying dependencies between subtasks

Phase 3: AGENT SELECTION
🎯 Selecting the best agents for each subtask...
   └─ Matching subtask requirements to agent skills
   └─ Optimizing for parallel execution where possible

Phase 4: AGENT DISCOVERY (🤖↔🤖 AI-to-AI)
🔍 Orchestrator AI autonomously discovering specialist AI capabilities...
   └─ GET /.well-known/agent-card.json (A2A standard)
   └─ AIs exchange capability metadata without human intervention
   └─ Orchestrator learns what each AI agent can do

Phase 5: TASK DELEGATION (🤖→🤖 AI-to-AI)
📤 Orchestrator AI delegating to specialist AIs autonomously...
   └─ POST / with task context (A2A protocol)
   └─ Each AI receives its assignment programmatically
   └─ WATCH: HTTP logs show LIVE AI-to-AI communication!

Phase 6: PARALLEL EXECUTION (🤖⚡🤖⚡🤖 Multi-AI)
⚡ Multiple AI agents working simultaneously...
   └─ Each AI independently processes its subtask
   └─ No human coordination needed - fully autonomous
   └─ AIs complete and report back asynchronously

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Watch below for REAL-TIME AI-TO-AI MESSAGES as they happen!
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┌──────────────────────────────────────────────────────────────────────────────┐
│            LIVE WORKSPACE - AI AGENTS COMMUNICATING IN REAL-TIME             │
└──────────────────────────────────────────────────────────────────────────────┘

🔴 LIVE: Agents starting work...

