Developer → Learn MPC protocols → Implement low-level cryptography → Debug → Deploy
(6-12 months of specialized learning)

Research Paper: "Our protocol is 10x faster!"
Reality: No compiler, no debugger, no deployment tools, no documentation

Protocol A: Custom C++ library
Protocol B: Research Python scripts
Protocol C: Academic proof-of-concept
Result: No interoperability, no standard practices

// StoffelLang - familiar syntax, powerful MPC features
fn secure_auction(bids: secret [i32; 5]) -> secret i32 {
    let max_bid = secret(0);
    for bid in bids {
        if bid > max_bid {
            max_bid = bid;
        }
    }
    return max_bid;
}

# Just like other modern development tools
stoffel init secure-auction --template web3
stoffel dev --parties 5
stoffel build --release
stoffel deploy --target production

StoffelLang → StoffelVM → MPC Protocols
    ↓             ↓            ↓
Compilation   Execution   Network Layer

# Python developers can use MPC naturally
from stoffel import StoffelClient

result = await client.execute_with_inputs(
    secret_inputs={"salary": 75000, "performance": 8.5},
    public_inputs={"market_rate": 80000}
)

[mpc]
protocol = "honeybadger"
parties = 7
threshold = 2
field = "bls12-381"

Hire MPC expert → 6-month learning curve → Custom implementation → Maintenance burden
Cost: $500k+ per project, 18+ month timeline

Learn StoffelLang → Build with familiar tools → Deploy with CLI
Cost: Weeks of development, existing team skills

Choose Protocol A → Build everything around it → Protocol B is better → Start over

Write application logic once → Switch protocols via configuration → Optimize for use case

MPC Library → Custom networking → Database integration → API layer → Frontend
(Each component requires MPC expertise)

Existing Application → Add Stoffel SDK → Configure privacy requirements → Deploy
(MPC complexity abstracted away)

Bank consortium wants privacy-preserving fraud detection
→ 18-month research project
→ Custom protocol implementation
→ Specialized infrastructure team
→ $2M+ investment, uncertain outcome

stoffel init fraud-detection --template fintech
# Write business logic in familiar language
# Deploy to existing infrastructure
→ 3-month implementation, proven technology

Multi-hospital study requires:
→ Custom MPC implementation
→ HIPAA compliance engineering
→ Cross-institution coordination
→ Year-long technical negotiations

# Standard MPC infrastructure
# Built-in compliance features
# Simple deployment across institutions
→ Focus on medical research, not cryptography

Private voting system:
→ Research MPC protocols
→ Implement custom solution
→ Handle key management
→ Deploy specialized infrastructure

stoffel init private-voting --template web3-voting
# Standard patterns for blockchain integration
# Built-in key management
# Cloud deployment ready

Setup Time:    Weeks vs Months
Development:   Days vs Months
Deployment:    Hours vs Weeks
Maintenance:   Minimal vs Ongoing

Traditional MPC: 12-18 months to production
Stoffel: 2-6 weeks to production

Traditional: PhD-level cryptography knowledge required
Stoffel: Standard programming skills sufficient

Traditional: Custom implementation, unknown bugs
Stoffel: Battle-tested framework, proven patterns

Traditional: Isolated MPC application
Stoffel: Seamless integration with existing systems