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📧 Growth Marketing🏗️ 4 Tech Levels🚀 Production-Grade

Lead Nurture AI

See 4 architectures solve real problems: MCP → RAG → Multi-Tool → Multi-Agent

August 1, 2025
demointeractivelead-nurturegrowth-marketingmulti-agent
🤖Demo 1 of 4

Advanced Multi-Agent System

BOFU: Production LangGraph with Router → Specialized Agents → Aggregation

1. Select Analysis Scenario

Lead with mixed signals: high email engagement but low website activity. Requires multiple specialist agents to determine nurture strategy.
Competitors: Lead #47291 (SaaS buyer, 3 email opens, 0 demo requests), Lead #58392 (Enterprise, pricing page visit, no contact), Lead #63184 (SMB, whitepaper download, 14-day silence)

2. Monday's Prompt

This positioning analysis prompt from Monday's insight will be processed by Tuesday's agents in Wednesday's workflow.

3. Run Multi-Agent Workflow

You'll see 5 AI agents: Data Collector → Messaging Analyzer → Position Mapper → Strategy Advisor → Insight Generator
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🔌Demo 2 of 4

MCP Tool Use Pattern

TOFU: LLM calls tools via Model Context Protocol - see real tool execution

Automation Task

User query → LLM decides get_lead_behavior() tool is needed → Executes → Returns structured CRM data → LLM formats human-readable summary

Monitoring:Lead #47291 (TechCorp Inc)
ai-agent-terminal

Terminal ready. Run simulation to begin.

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🔍Demo 3 of 4

RAG-Based Search

MOFU: Search 100+ lead interactions with vector similarity

Search Query

"Search: 'What pain points do SaaS buyers mention most?'"

Embed query → Search 10,427 vectors → Retrieve top 20 chunks (similarity >0.75) → Generate insights with citations

Document Sources:10,427 lead interactions embedded (emails: 7,293, chats: 2,184, calls: 950)Search space: 50-200 employee SaaS companies (last 6 months)Vector DB: Pinecone (1536 dimensions, cosine similarity)Retrieved: 20 chunks from 18 unique leads

RAG Vector Search Network

Embedding
Searching
Generating
Query
Vector
Documents
Result

Search Results

Run visualization to see results

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🛠️Demo 4 of 4

Multi-Tool Orchestration

MOFU: Multiple tools working together automatically

ROI Analysis

Orchestrator calls: get_new_leads(last_24h) → score_leads(new_leads) → generate_emails(scored_leads) → send_nurture(emails) → alert_hot_leads(score>70) [ALL PARALLEL] → Aggregate results → Generate daily report

Integrations:147 new leads processed (overnight signups + demo requests)5 tools executed in parallel (total time: 8.3s vs 47s sequential)3 hot leads detected (score >70) → Sales alerted via Slack147 personalized emails generated + sentDaily report emailed to marketing team
Manual Process

Time to Complete

240 min

Cost per Analysis

$850

Data Points Analyzed

150

Accuracy Rate

73.0%

Reports per Day

2

Error Rate

18.0%

Ready for Production Lead Nurture System?

We'll build your custom system: MCP tools (TOFU - try for free) → RAG search (MOFU - search 10K+ interactions) → Multi-tool (MOFU - daily automation) → Multi-agent (BOFU - 24/7 autonomous nurture). From demos to deployment in 8 weeks. 50K+ leads/day capacity. 3x conversion rate improvement. $125K/year savings.

Book Architecture ReviewStart with MCP Tools (TOFU)
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