vertical-expansion-blueprint

name	vertical-expansion-blueprint
description	Manual guide for adapting AI roleplay training platforms to new vertical industries (dating, therapy, sales, etc.) with complete config examples and step-by-step cloning instructions

Vertical Expansion Blueprint

Overview

This skill provides a proven blueprint for adapting the FLEXX FIBER sales roleplay platform to any vertical industry where roleplay training is valuable:

• 🎯 Sales Training (door-to-door, B2B, retail)
• 💕 Dating/Social Skills Coaching
• 🧠 Therapy/Counseling Training
• 📞 Customer Service Training
• 🏥 Medical Simulation (doctor-patient)
• 💼 Interview Preparation
• 🎭 Any scenario-based training

Value Proposition: Reduces vertical deployment from $50k-100k custom builds to $5k-10k config-driven adaptations (90% time savings).

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What You Get

1. Architecture Analysis - Deep dive into the 10 reusable components
2. Config Schema - TypeScript interface defining all customization points
3. 3 Complete Examples - Sales (FLEXX FIBER), Dating Coach, Therapy Training
4. Cloning Guide - Step-by-step instructions for adaptation
5. Adaptation Checklist - File-by-file modification guide

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The 10 Reusable Components

Only 10% of the platform changes per vertical. Here's what stays the same vs. what you customize:

Stays the Same (90%)

• Database schema (5 tables: users, sessions, scripts, rep_codes, manager_assignments)
• Frontend pages (Practice, History, Analytics, Scripts, Profile)
• Voice integration layer (Hume AI WebSocket)
• AI coaching feedback engine
• Progress tracking system
• Authentication & user management

Changes Per Vertical (10%)

1. Domain Config - Trainee role, AI role, goal
2. 4 AI Personas - Personality types with examples
3. 5-7 Practice Modes - Focused training scenarios
4. Coaching Prompt - Post-session feedback template
5. Branding - Colors, logo, terminology

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Quick Start: 3-Step Process

Step 1: Choose Your Vertical Config

Review the 3 example configs in configs/:

• sales-fiber-door-to-door.json - Door-to-door sales (FLEXX FIBER)
• dating-coach-training.json - Social skills and dating
• therapy-training-relationships.json - Couples therapy training

Or create your own by copying one of these and modifying the 10 components.

Step 2: Clone the FLEXX FIBER Platform

# Clone the sales roleplay dashboard project
cd /home/ubuntu
cp -r sales-roleplay-dashboard my-new-vertical-platform
cd my-new-vertical-platform

Step 3: Apply Your Config

Follow the Adaptation Checklist (see references/adaptation-checklist.md) to modify:

1. server/hume-service.ts - AI prompt generation
2. client/src/pages/Practice.tsx - Practice mode UI
3. client/src/index.css - Branding colors
4. client/public/ - Logo files
5. drizzle/schema.ts - Terminology (optional)

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Detailed Cloning Guide

Phase 1: Setup (15 min)

1. Clone the base platform

   cp -r /home/ubuntu/sales-roleplay-dashboard /home/ubuntu/my-vertical-platform
   cd /home/ubuntu/my-vertical-platform
   

2. Update project metadata

   • Edit package.json - Change name, description
   • Edit README.md - Update title and description

3. Install dependencies

   pnpm install
   

Phase 2: Domain Configuration (30 min)

4. Update server/hume-service.ts

   • Line 50-60: Update domain object with your config
   • Line 70-120: Replace archetypeDescriptions with your personas
   • Line 125-145: Replace archetypeExamples with your examples
   • Line 150-170: Replace difficultyModifiers with your difficulty levels
   • Line 175-195: Replace modeInstructions with your practice modes

5. Update client/src/pages/Practice.tsx

   • Line 26: Update archetype options
   • Line 27: Update difficulty options
   • Line 28: Update practice mode options
   • Line 250-350: Update Select dropdowns with your terminology

Phase 3: Branding (20 min)

6. Update client/src/index.css

   • Line 10-30: Replace CSS variables with your brand colors
   • Use your config's branding.primaryColor, backgroundColor, etc.

7. Replace logo files

   cp /path/to/your-logo.png client/public/your-logo.png
   

   • Update client/src/components/BrandHeader.tsx - Line 15: Logo path
   • Update client/src/components/BrandHeader.tsx - Line 18: Company name

8. Update terminology throughout

   • Find/replace "sales rep" → your traineeRole
   • Find/replace "homeowner" → your aiRole
   • Find/replace "practice session" → your terminology

Phase 4: Coaching Prompts (15 min)

9. Update server/routers.ts or create server/coaching-service.ts
   • Find the coaching feedback generation logic
   • Replace system prompt with your coachingPrompt.systemPrompt
   • Update user prompt template with your coachingPrompt.userPromptTemplate

Phase 5: Testing (30 min)

10. Test TypeScript compilation

    pnpm exec tsc --noEmit
    

11. Start dev server

    pnpm dev
    

12. Test each persona + difficulty combination

    • Start practice session for each archetype
    • Verify AI behavior matches your config
    • Check coaching feedback quality

13. Test all practice modes

    • Verify mode-specific instructions work correctly

Phase 6: Deployment (15 min)

14. Update environment variables

    • Set VITE_APP_TITLE to your platform name
    • Set VITE_APP_LOGO to your logo URL

15. Save checkpoint

    # Use webdev_save_checkpoint tool
    

16. Publish

    • Click Publish button in Manus UI

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Config Schema Reference

See references/vertical-config-schema.ts for the complete TypeScript interface.

Key sections:

• metadata - ID, name, industry
• domain - Trainee role, AI role, goal, context
• personas - 4 personality types with examples
• difficultyLevels - 5 levels with behavior patterns
• practiceModes - 5-7 focused scenarios
• coachingPrompt - Feedback generation template
• branding - Colors, logo, terminology
• features - Phone support, replay, streaks, leaderboards

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Example Configs

1. Sales Training (FLEXX FIBER)

File: configs/sales-fiber-door-to-door.json

• Domain: Sales rep → Homeowner
• Personas: Lamb, Bull, Tiger, Owl
• Modes: Full Pitch, Opener Only, Discovery, Value Prop, Random Objections
• Features: Phone support, leaderboards, manager dashboard

2. Dating Coach Training

File: configs/dating-coach-training.json

• Domain: Man approaching → Woman being approached
• Personas: Social Butterfly, Ice Queen, Intellectual, Busy Professional
• Modes: Cold Approach, Conversation Flow, Flirtation, Number Close, Rejection Recovery
• Features: Session replay, practice streaks, leaderboards

3. Therapy Training

File: configs/therapy-training-relationships.json

• Domain: Therapist → Client
• Personas: Anxious Avoider, Angry Blamer, Passive Victim, Logical Rationalizer
• Modes: Initial Intake, Active Listening, Probing Questions, Reframing, Crisis Management
• Features: Session replay, practice streaks, supervisor dashboard

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Architecture Deep Dive

See references/vertical-roleplay-architecture-analysis.md for complete analysis.

Key insights:

• 10 reusable components identified
• 90% code reuse across verticals
• Config-driven customization reduces dev time by 90%
• Business model: $10k setup + $500/mo per vertical

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Best Practices

Persona Design

• 4 personas is optimal - Covers personality spectrum without overwhelming users
• Include concrete examples - "Show, don't tell" for AI behavior
• Objection styles matter - Define how each persona resists

Difficulty Calibration

• Use explicit metrics - Turn counts, pause lengths, response rates
• Avoid vague descriptions - "Quite challenging" → "4-5 objections, 3-4 sec pauses"
• Test across all levels - Ensure rookie is actually easy, nightmare is actually hard

Practice Modes

• 5-7 modes is optimal - Covers key skills without fragmentation
• Mode-specific instructions - Tell AI exactly how to behave in each mode
• Progressive complexity - Order modes from basic to advanced

Coaching Prompts

• Domain-specific feedback - Reference industry best practices
• Actionable advice - "Do X next time" not "You did Y wrong"
• Encouraging tone - Balance critique with recognition

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Troubleshooting

AI forgets its role

Problem: AI thinks it's the trainee instead of the persona
Solution: Add role reminders throughout prompt (see hume-service.ts line 200-250)

Difficulty levels feel the same

Problem: Vague difficulty descriptions
Solution: Use explicit behavioral metrics (turn counts, pause lengths, objection counts)

Objections feel random/unnatural

Problem: "Unexpected moments" is too vague
Solution: Specify exact turns for objections (turn 3-4, 7-9, 12-15)

Persona loses personality mid-conversation

Problem: Personality described but not demonstrated
Solution: Add 4 concrete response examples per persona

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Next Steps

1. Review the 3 example configs - Understand the pattern
2. Choose your vertical - Or create a new one
3. Follow the cloning guide - Step-by-step adaptation
4. Test thoroughly - All personas × difficulties × modes
5. Deploy and iterate - Gather user feedback and refine

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Support

For questions or issues:

• Review references/vertical-roleplay-architecture-analysis.md for deep technical details
• Check references/vertical-roleplay-skill-requirements-analysis.md for common gaps
• Consult the original FLEXX FIBER dashboard for working examples

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Business Model

Traditional Custom Build: $50k-100k, 3-6 months
Config-Driven Adaptation: $5k-10k, 2-4 weeks

Recurring Revenue: $500/mo per vertical for hosting + support

Scalability: 10 verticals = $5k/mo recurring, 100 verticals = $50k/mo recurring

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License

This blueprint is based on the FLEXX FIBER sales roleplay dashboard. Adapt freely for your vertical industries.