Build AI Systems
That Survive Production.
Practical engineering for resilient AI automations, agents, and LLM systems. Wrap probabilistic models in deterministic architecture with multi-tier cascades, circuit breakers, AST schema self-healing, and sandboxed execution in Node.js and Python.
Architectural Evolution
From Fragile Prototype to Battle-Hardened Engine
Trace the five deterministic engineering stages required to run probabilistic AI reliably in mission-critical environments.
The Naive Prototype
Direct API calls, unchecked JSON.parse, blind trust.
Failure Modes
429 thundering herds, markdown fences, double-billing.
Resilience Layer
Circuit breakers, AST repair, SQLite WAL idempotency.
Observability
Distributed OTel spans, latency budgets, DLQ routing.
Hardened Engine
500-request HTTP chaos test with 50-way concurrency, automated fault recovery.
Architectural Roadmap
7 Modules. 21 Lessons. Zero Black Boxes.
Explore the 7 layers of the production runtime. Select any module to inspect the failure mode prevented, the deterministic pattern applied, and the included codebases.
Interactive Engineering Sandbox
Test the Architecture Live in Your Browser
Interact directly with the finite state machines and non-blocking latency cascades taught in Module 01 and Module 03.
Circuit Breaker Finite State Machine
When upstream rate limits saturate, blind exponential backoff hammers exhausted gateways. The circuit breaker intercepts calls, failing fast without calling the saturated provider.
Non-Blocking Cascade Router
Enforces strict latency budgets per tier using worker pools. When Tier A exceeds its illustrative SLA, the router abandons waiting and cascades to Tier B without blocking execution.
Example configuration. Actual latency and cost vary by model, provider, tokens, hardware, network and load.
Developer Trust & Verification
Real Test Harnesses, Real Execution Logs
Every lesson comes with runnable test harnesses in both Python and Node.js. Clone the starter kit and run the demo locally:
git clone https://github.com/production-ai-systems/production-ai-starter-kit.git
concurrent.futures)
Download cascade_router_demo.py (9.4 KB) ↓
Dynamic Cost/Latency Model Routing & Cascades
Bounded-Wait Latency Budgets • Three-State Circuit Breakers • Multi-Tier Fallback Cascades in Python
📦 Included Artifacts
⚡ Architectural Boundaries
Invest in Verified Systems
One-time payment for the complete 21-lesson masterclass, runnable test suites, and reference solutions.
Production AI Systems
Engineering Resilient Business Automations in Node.js & Python
- ✓ Complete 21-Lesson Video Masterclass (1080p, 2.6 Hours)
- ✓ 7 Core Modules covering Ingress to Chaos Capstone
- ✓ Dual Python 3.10+ and Node.js v22 Implementations
- ✓ 21 Student Starter Kits with Automated Test Harnesses
- ✓ 21 Complete Production Reference Solutions
- ✓ Precision-Timed Subtitles (SRT & WebVTT) for Every Lesson
- ✓ 14-Day Refund Policy (Friction-free, no questions asked)
- ✓ Purchased-Version Access Forever + 12 Months Minor Updates & Errata
- ✓ Single-Developer Commercial License (Internal & client pattern use)
Single-Developer Commercial License • €99 Launch Price • €149 Standard Price
14-Day Refund Policy
If the course does not meet your expectations, request a refund within 14 days of purchase. No outcome promises, no interrogation, and zero friction.
Frequently Asked Questions
Technical prerequisites, environment setup, and commercial terms.