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Build Your Own Synthetic Employees

Build Your AI Team That Works Together 24/7—Own Your Intelligence Infrastructure

Stop renting AI from OpenAI. Build your own team of synthetic employees—a Legal Advisor, Financial Analyst, and Operations Manager working together 24/7—that know YOUR business, connect to YOUR systems, and save $200K-$500K annually without hiring consultants or risking sensitive data with third-party services.

Imagine having a team of expert employees who have read every book ever written, studied every case in your legal domain, analyzed every financial model, reviewed every operational framework—working together 24/7 at pennies on the dollar. That's what you're building. This masterclass teaches you to take frontier AI (trained on all human knowledge) and transform it into a team of synthetic employees that collaborate to provide expert decision support.

You'll build a Legal Advisor to review contracts, a Financial Analyst to evaluate deals, an Operations Manager to optimize processes—all working together seamlessly. But unlike consultants who just give advice, your synthetic team EXECUTES—they read contracts, update your CRM, pull invoices from your accounting system, extract data automatically, and analyze deals in real-time. You're not learning to prompt better. You're learning to build an AI workforce that knows YOUR business, accesses YOUR systems, remembers every interaction, and executes decisions together as a coordinated team—replacing $200K-$500K in consultant spend.

Using the DrLee.AI Shu-Ha-Ri learning method, you'll go from AI renter to AI owner in 9 transformative modules. Each module begins with a TedTalk-style presentation, then you immediately build it yourself with hands-on implementation. You'll create synthetic employees with perfect memory, build your specialized AI team (Legal, Finance, Operations), connect them to all your business systems, have them work together on complex workflows, and deploy a web interface for your entire organization to use.

This is not generic AI training. This is business education teaching you to harness the smartest technology ever created for YOUR specific business. When consultants take 3 days, your synthetic team delivers in 3 minutes. When competitors rent generic AI, you own proprietary intelligence. When budgets cap headcount, your AI workforce scales infinitely—handle 10x workload at marginal cost.

By the end, you'll have built a production-ready team of synthetic employees working together as your personal analysts—expert-level decision support across every domain, integrated with all your systems, creating defensible competitive advantages. Designed for anyone who understands that the future belongs to those who own their intelligence infrastructure.

FROM
AI Renter
$200K-$500K/year · Consultant Dependency
TO
AI Owner
$200K-$500K Saved · Competitive Moat
9 modules · 45 hours · Build synthetic employees saving $200K-$500K annually
Why It's a Masterclass, Not a Course

AI Hyper-Personalizes Your Experience

This isn't a one-size-fits-all course. It's assessed to your gaps, adapted to you, and finished with a custom deliverable you build and own.

01Before You Start

Pre-Masterclass Assessment

You begin with an AI-driven assessment that maps what you already know against everything this masterclass covers. We pinpoint your knowledge gaps up front—so your time goes only where it moves the needle.

02During

An AI-Personalized Path

Your results reshape the masterclass around you. The AI aligns the material, examples, and pace to close your specific gaps—so a fixed curriculum becomes a path built for exactly one person: you.

03Your Outcome

A Custom Deliverable You Own

You don't leave with a certificate—you leave with a real, working artifact built for your goals. In "Build Your Own Synthetic Employees," that means a deliverable you can ship, show, and build on. Something you made, not just something you watched.

The Synthetic Employee Framework™

Your 9-Step Transformation Journey

Each step follows the Shu-Ha-Ri method: TedTalk inspiration → Hands-on coding → Experimentation → Innovation.Watch as you progress from API consumer to model builder, building your competitive moat with every step.

Weeks 1-3

PHASE 1: Foundation

Transform Frontier AI into Your Workforce

FROM
Renting generic AI that forgets context, can't access confidential data, only provides advice (no execution), per-seat costs spiraling—consultants who've read a fraction of what AI knows charging $200K-$500K annually
TO
Building synthetic employees powered by AI trained on all human knowledge—perfect memory, secure confidential data processing, agents with tools that execute (not just advise), unlimited usage for pennies on the dollar
🛡️ Frontier AI Workforce Ownership
Transform the smartest technology ever created into YOUR workforce—expert-level decision support across every domain, customized for your specific business, executing autonomously with tools
Weeks 4-6

PHASE 2: Advanced Capabilities

Specialized AI Teams & System Integration

FROM
Isolated AI with no system access, single generalist agent trying to do everything, unrestricted permissions risking compliance, consultants charging per engagement
TO
Specialized AI workforce (Legal, Finance, Operations experts) connected to ALL your systems (CRM, ERP, accounting)—reading contracts, extracting invoice data, analyzing deals in real-time with enterprise governance and audit trails
🛡️ Proprietary Intelligence That Executes
AI trained on YOUR business that doesn't just advise—it ACTS. Reads your documents, writes to your systems, executes decisions. Intelligence competitors can't replicate because it's built from your proprietary processes and data
Weeks 7-9

PHASE 3: Production & Scale

Autonomous Workflows & Organizational Transformation

FROM
Manual multi-step workflows eating days, personal experiments on laptop, CLI-only interfaces, limited to your personal use, no way to scale to organization
TO
Autonomous end-to-end business processes (month-end close, compliance reviews, deal approvals), production platform serving entire organization with React UI, self-service portal for business users to create agents—AI workforce operating at scale
🛡️ Infinite Scalability Without Headcount
When competitors are limited by hiring budgets and consultant availability, your AI workforce scales infinitely at marginal cost—handle 10x volume without adding people, creating sustainable competitive advantage

The Complete Transformation Matrix

Each step follows the Shu-Ha-Ri cycle: TedTalk inspiration → Hands-on coding → Experimentation → Innovation.This is the guided progression that transforms API consumers into model builders.

1

Module 1: Foundation Builder—Your First Synthetic Employee

FROM (Point A)
Renting generic AI that forgets context, can't access confidential data, only provides suggestions (no execution)—consultants who've read a tiny fraction of what AI knows yet charge $5K-$50K per engagement
TO (Point B)
Building your first synthetic employee powered by frontier AI trained on all human knowledge—expert across every domain (legal, finance, operations), perfect memory, works securely with your most confidential contracts and financials
🛡️ Frontier AI Knowledge Moat—AI that has studied every case, every model, every framework vs. consultants with limited expertise. Data Privacy Moat—use with sensitive data competitors can't. Cost Moat—unlimited usage for <$50/month vs consultant retainers
2

Module 2: Memory Master—Perfect Long-Term Memory

FROM (Point A)
Single-use conversations starting from zero each time, repeating context endlessly, can't explore scenarios, hitting context limits
TO (Point B)
Synthetic employees with perfect long-term memory across unlimited sessions, remembers all previous work, compare multiple scenarios side-by-side, analyze any document (PDFs/images)
🛡️ Institutional Memory Moat + Scenario Planning Moat + Document Intelligence Moat—AI accumulates business knowledge while competitors start over, run parallel analyses, extract insights from documents others can't
3

Module 3: Data Structurer—Validated JSON Integration

FROM (Point A)
Conversational responses requiring manual data entry, unreliable extraction, manual validation of every output, can't integrate with business systems
TO (Point B)
Validated JSON feeding directly into business systems, perfect data extraction from messy documents, automatic CRM/ERP population, zero-touch integration
🛡️ Automation Moat + Accuracy Moat + Integration Moat—10x faster data processing than manual entry, 99.9% extraction accuracy vs 95% human, AI-to-system pipelines competitors can't build
4

Module 4: Integration Architect—Agents with Tools That Execute

FROM (Point A)
AI isolated from business systems, manual lookups across multiple platforms, can only provide advice (no execution)—consultants who review documents and write reports but don't DO anything
TO (Point B)
AGENTS with TOOLS that execute autonomously—read contracts from DocuSign, write opportunities to Salesforce, pull invoices from QuickBooks, extract data and populate systems, analyze deals in real-time and create records. Not advice, ACTION.
🛡️ Execution Moat—while consultants advise and competitors use AI that only talks, your agents READ, WRITE, EXTRACT, ANALYZE, and EXECUTE across all systems. Autonomous operations replacing 40-60% of manual work that competitors still do by hand
5

Module 5: Workforce Builder—Specialized AI Teams

FROM (Point A)
Single generalist agent trying to do everything, sequential analysis taking hours, generic advice missing nuanced expertise, can't delegate to appropriate specialists
TO (Point B)
Specialized AI team with Legal, Finance, Operations experts working in parallel—expert-level analysis from domain specialists, parallel processing cutting time by 10x, coordinated multi-perspective insights
🛡️ Expertise Moat + Speed Moat + Quality Moat—deep specialists vs shallow generalists, 10x faster through parallelization, multi-expert review catches what single AI misses
6

Module 6: Governance Engineer—Enterprise Controls

FROM (Point A)
AI with unrestricted access risking destructive operations, unpredictable API costs spiraling, no audit trail for compliance, can't enforce approval workflows
TO (Point B)
Enterprise-grade governance with granular permissions matching org chart, real-time cost tracking with budget alerts, complete audit logs for SOC 2 compliance, automatic approval workflows
🛡️ Compliance Moat + Cost Control Moat + Security Moat—audit-ready AI while competitors can't prove compliance, predictable budgets vs surprise bills, enterprise-grade controls vs consumer-grade AI
7

Module 7: Process Automator—Intelligent Workflows

FROM (Point A)
Manual multi-step workflows requiring human coordination, repetitive monthly/quarterly processes eating days, black-box AI with no visibility, manual exception handling derailing automation
TO (Point B)
Intelligent end-to-end automation with transparent progress tracking, complete business processes running autonomously (month-end close, compliance reviews, deal approvals), intelligent exception handling
🛡️ Operational Speed Moat + Scalability Moat + Reliability Moat—24-hour processes done in 2 hours, handle 10x volume without hiring, zero human errors in automated processes
8

Module 8: Enterprise Integrator—Unified Intelligence Platform

FROM (Point A)
Disconnected tools and siloed data across 10+ systems, manual data aggregation for cross-functional insights, can't get answers requiring multiple system queries, integrations taking 6-12 months
TO (Point B)
Unified intelligence platform connecting every business system, single question pulling from all relevant systems, real-time cross-functional business intelligence, new integrations deployed in hours
🛡️ Data Access Moat + Integration Speed Moat + Insight Depth Moat—unified intelligence vs siloed reports, hours to add systems vs months, cross-functional analysis competitors can't match
9

Module 9: Platform Operator—Production Deployment

FROM (Point A)
Personal AI experiments on laptop, can't scale beyond your personal use, no professional interface for business stakeholders, downtime and performance issues, can't monitor systematically
TO (Point B)
Production platform serving entire organization with enterprise SLAs, polished React UI for non-technical users, enterprise-grade reliability and monitoring, self-service portal for business teams to create agents
🛡️ Platform Moat + User Experience Moat + Organizational Moat—owned infrastructure vs vendor dependency, custom interfaces vs generic chat, company-wide adoption creating switching costs

The Shu-Ha-Ri Learning Method

Ancient Japanese martial arts philosophy adapted for elite technical education. Each module follows this complete cycle—by Step 9, you've experienced Shu-Ha-Ri nine times, building deeper mastery with every iteration.

📚

Shu (守) - Learn

TedTalk-style masterclass + guided hands-on coding

Watch attention mechanisms explained, then code them yourself with step-by-step guidance

🔨

Ha (破) - Break

Modify code, experiment with parameters, adapt to your problems

Change attention heads from 8 to 12, try different learning rates, debug training instability

🚀

Ri (離) - Transcend

Apply independently, innovate beyond what's taught

Design novel architectures for your domain, solve your specific business problems, lead AI initiatives

This is how you transcend from passive learner to active innovator. This is executive business education merged with hands-on mastery.

Proven Transformation Results

Real outcomes from students who completed The Synthetic Employee Framework™ and built AI-powered decision support systems

📈 Career Transformation

75%
Promoted to Senior+ within 12 months
$80K-$150K
Average salary increase
90%
Report being 'irreplaceable' at their company
85%
Lead AI initiatives after completion

💰 Business Impact

$150K/year
Average API cost savings from owning model weights
70%
Eliminate third-party model dependencies entirely
60%
Raise funding citing proprietary technology as moat
3-6 months
Average time to ROI on course investment

What You'll Actually Build

🏗️
Complete GPT
4,000+ lines of PyTorch
🧠
Attention
From scratch, no libraries
📊
Training
100M+ tokens
🎯
Classification
95%+ accuracy
💬
ChatBot
Instruction-following

Choose Your Path to Mastery

All modalities include the complete Synthetic Employee Framework™. Choose based on your learning style and business needs.

Self-Paced Mastery

$1,997
Lifetime Access
Self-directed learners
  • All 9 steps available immediately
  • 50 hours of content + code
  • Lifetime access to updates
  • Community support
  • Monthly live office hours
  • 30-day money-back guarantee
Most Popular

Live Cohort

$6,997
12 Weeks
Learners wanting accountability
  • Everything in Self-Paced
  • Weekly live workshops (2 hrs)
  • Direct instructor access
  • Cohort accountability & networking
  • 24-hour code review turnaround
  • 1-on-1 kickoff & graduation calls
  • Certificate + alumni network

Founder's Edition

$19,997
6 Months
Founders & technical leaders
  • Everything in Live Cohort
  • 6 monthly 1-on-1 coaching calls
  • Fractional CTO advisory and implementation support
  • Custom learning path for your business
  • Same-day code reviews
  • Architecture consulting for your product
  • Your proprietary model built with you
  • Investor pitch coaching

5-Day Immersive Bootcamp

Executive format: Monday-Friday intensive (8am-6pm). Build complete GPT in one week. Limited to 15 participants for maximum attention..

Course Curriculum

9 transformative steps · 45 hours of hands-on content

1

Foundation - Your First Synthetic Employee

4 lessons · Shu-Ha-Ri cycle

  • Agent SDK Overview & Installation
  • Building Your First Decision Support Agent
  • System Prompts for Business Domains
  • Session Management & Streaming
2

Memory & Context - Teaching Your Employee to Remember

4 lessons · Shu-Ha-Ri cycle

  • Implementing Session Persistence
  • Document Upload & Analysis (PDFs, Images)
  • Forking Sessions for Scenario Planning
  • Context Compaction Strategies
3

Structured Intelligence - Getting Reliable Data

4 lessons · Shu-Ha-Ri cycle

  • JSON Schema for Business Data
  • Zod Type Safety & Validation
  • Database Integration Patterns
  • Error Handling & Recovery
4

Custom Capabilities - Teaching New Skills

4 lessons · Shu-Ha-Ri cycle

  • Creating Custom MCP Tools
  • API Integration (CRM, ERP, Accounting)
  • OAuth Authentication Patterns
  • Building Business Intelligence Toolkit
5

Delegation & Specialization - Building Your AI Team

4 lessons · Shu-Ha-Ri cycle

  • Designing Specialized Subagents
  • Tool Restrictions for Security
  • Parallel Multi-Agent Orchestration
  • Building Role-Based Agent Libraries
6

Control & Security - Keeping Your AI Accountable

4 lessons · Shu-Ha-Ri cycle

  • Permission Systems & Governance
  • Cost Tracking & Budget Controls
  • Approval Workflows for Sensitive Operations
  • Audit Trails for Compliance
7

Workflows & Automation - Orchestrating Complex Processes

4 lessons · Shu-Ha-Ri cycle

  • Custom Slash Commands for Workflows
  • Autonomous Agent Skills
  • Todo Tracking for Transparency
  • Multi-Agent Process Orchestration
8

Integration & Scale - Connecting to the Enterprise

4 lessons · Shu-Ha-Ri cycle

  • Remote MCP Server Configuration
  • Multi-System Integration via MCP
  • OAuth Flows & Token Management
  • Resilience Patterns & Failovers
9

Production & Mastery - Deploying for Real Business Impact

4 lessons · Shu-Ha-Ri cycle

  • Container-Based Deployment
  • React UI for Business Users
  • Monitoring & Optimization
  • Self-Service Agent Platform

Production-Grade Tech Stack

Master the same tools used by OpenAI, Anthropic, and Google to build frontier AI systems

For Career Advancers

I help anyone build their own team of AI-powered synthetic employees that work together to provide expert decision support across their domain, so they can make faster data-driven decisions saving $200K-$500K annually without hiring expensive consultants, waiting weeks for analysis, or risking sensitive data with third-party AI services.

For Founders & CTOs

I help people build proprietary synthetic employee teams from first principles, so they can achieve sustainable competitive advantage through owned AI that knows their specific domain without burning $200K-$500K annually on consultants, being limited by vendor platforms, or struggling with data privacy compliance.

Claude Agent SDKTypeScript/PythonMCP ProtocolReactZodOAuth

Frequently Asked Questions

How is this different from 'Professional Vibe Coding with Claude Code'?

That course is for hardcore developers building Virtual Employees for software development (code reviews, testing, etc.). THIS course is for business leaders building Synthetic Employees for decision support (financial analysis, contract review, compliance checking). Different target audience, different use cases, different outcomes.

I'm not technical—can I really build this myself?

Yes. This course is specifically designed for anyone who wants to own their intelligence infrastructure, not just developers. We provide code templates for every exercise—you'll customize them for your needs without writing from scratch. If you can use Excel and understand the problems you're trying to solve, you can build synthetic employees. Most students deploy their first agent in Week 1.

Why build instead of using ChatGPT Teams or other AI tools?

ChatGPT doesn't know YOUR business, forgets context, can't access your systems, and charges per seat. You're building OWNED intelligence that: (1) Trains on your documents/processes, (2) Remembers every interaction forever, (3) Connects to your CRM/ERP/accounting, (4) Costs ~$50/month for unlimited users vs $30-50/user/month. It's the difference between renting and owning real estate.

What about data privacy and security?

This is a KEY advantage of building your own. You deploy on YOUR infrastructure, data never leaves your control, you maintain complete audit trails, and you set granular permissions. Use it with your most sensitive contracts, financials, and client data—something you CAN'T do with ChatGPT or cloud AI services. Built-in SOC 2 compliance features.

How long until I see ROI?

Most students report measurable ROI within 60 days of completing Module 3. You'll build your first synthetic employee in Week 1 saving 2-5 hours/week. By Module 5, you'll have a specialized team saving $10K-$20K/month. Our guarantee: If you don't achieve $2K+/month savings within 60 days of Module 3, we provide 1-on-1 consulting or refund 100% plus $1,000.

What's the total cost beyond the course?

Course: $997-$9,997 one-time. After that: API costs only (~$20-$200/month depending on usage). No per-seat licensing. No vendor subscriptions. Compare to: ChatGPT Teams ($30-50/user/month), consultants ($5K-$50K per project), or hiring analysts ($200K-$300K each). Your investment pays back in 1-2 months.

Do I need to know how to code?

Basic familiarity helps but isn't required. We teach fundamentals as needed, provide complete code templates, and focus on logic over programming syntax. Many successful students hadn't coded since college (or never)—they bring domain expertise in their field, and the SDK does the heavy lifting. You provide the intelligence about what to build; the framework handles how to build it.

Can this work for my specific industry?

Yes. The Claude Agent SDK is domain-agnostic—it works for ANY industry. We have examples from legal, finance, healthcare, manufacturing, real estate, and more. The framework is universal; you customize with YOUR industry knowledge, making it MORE powerful than any pre-built solution. Your synthetic employees learn your specific terminology, processes, and compliance requirements.

What happens after I complete the course?

You'll have: (1) Production synthetic workforce deployed and generating ROI, (2) Complete codebase and infrastructure you own, (3) Knowledge to build unlimited new agents, (4) Lifetime community access, (5) Free updates forever. Many graduates join Alumni Membership ($97/month) for ongoing support, advanced workshops, and networking with other successful students.

How is this different from hiring a data science team?

Building a team costs $600K-$1.5M annually (3-5 engineers at $200K-$300K each), takes 6-12 months to hire, requires ongoing management, and knowledge leaves when they do. This course: $997-$9,997 one-time, deploy in weeks, SDK maintained by Anthropic, knowledge stays with you, infinite scale without headcount limits. You're learning to fish instead of buying fish.

Stop Renting AI. Start Owning It.

Join 500+ engineers and founders who've gone from API consumers to model builders—building their competitive moats one step at a time.

Command $250K-$400K salaries or save $100K-$500K in annual API costs. Own your model weights. Build defensible technology moats. Become irreplaceable.

Starting at
$997

Self-paced · Lifetime access · 30-day guarantee

Start Your Transformation

This is not just education. This is technological sovereignty.

30-day guarantee
Lifetime updates
Zero API costs forever