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🚀 SaaS/Product🏗️ 4 Tech Levels💡 Production-Grade

User Onboarding AI

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

October 3, 2025
demointeractiveuser-onboardingsaas-productmulti-agent
🤖Demo 1 of 4

Advanced Multi-Agent System

BOFU: Production LangGraph with Router → Specialized Agents → Adaptive Flows

1. Select Analysis Scenario

User profile: Software Engineer, wants API integration, skips UI tour
Competitors: Generic UI tour (14 steps, 45 min), Video walkthrough (20 min, low engagement), Documentation only (self-serve, high dropoff)

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 analyzes user behavior, detects friction points via tools

Automation Task

User query → LLM decides tool (get_user_events) → Executes → Analyzes session → Returns friction point

Monitoring:user_12345
ai-agent-terminal

Terminal ready. Run simulation to begin.

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🔍Demo 3 of 4

RAG-Based Search

MOFU: Search 1000+ onboarding sessions with vector similarity

Search Query

"Find All Users Who Struggled with Integration"

Embed query → Search vectors (cosine similarity > 0.75) → Retrieve top 50 sessions → LLM identifies common friction points

Document Sources:Session 1: user_12345 (2 help clicks, 10m on integration, abandoned)Session 2: user_67890 (3 help clicks, 15m on integration, completed after support chat)Session 3: user_24680 (refreshed page 4 times, 12m on integration, abandoned)Session 4: user_13579 (opened docs 5 times, 18m on integration, completed with errors)... 43 more similar sessions

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: Daily cohort analysis with parallel tool execution

ROI Analysis

Orchestrator calls: Profiler(yesterday's users) + Dropoff Detector(sessions) + Flow Optimizer(patterns) + Reporter(insights) + Alert(critical issues) → All execute in parallel → Aggregated results delivered

Integrations:50 new users profiled150 sessions analyzed3 friction points detected2 flow optimizations recommended3 reports generated
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 Onboarding System?

We'll build your custom adaptive onboarding system: MCP tools (TOFU - friction detection) → RAG search (MOFU - pattern discovery) → Multi-tool (MOFU - daily automation) → Multi-agent (BOFU - adaptive flows). From 60% dropoff to 15% dropoff in 8 weeks. $520K annual value (support savings + revenue from 40% higher activation).

Book Architecture ReviewStart with MCP Tools (TOFU)
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