Course: Building Deterministic AI Agent Systems

Most AI agent frameworks treat execution as a black box. This course teaches you to build agent systems that are auditable, accountable, and production-ready — using the same patterns behind KarnEvil9 and Google DeepMind's Intelligent AI Delegation framework.

Curriculum

Deterministic Execution

Why non-determinism kills agent reliability
Hash-chain journals and tamper-evident audit trails
Replay, debug, and prove what your agent did

Delegation Governance

Google DeepMind's Intelligent AI Delegation framework
Graduated Authority and Bayesian trust scoring
Escrow bonds, SLO slashing, and accountability primitives

Safety & Circuit Breakers

Futility monitoring — catching runaway agentic loops
Cost controls and autonomous budget management
When to halt, escalate, or delegate

Multi-Agent Architecture

P2P delegation mesh — agents coordinating agents
Trust propagation across agent networks
Building production-grade agent pipelines

Who It's For

Engineers building autonomous AI agent systems
Technical leads evaluating agent frameworks
Teams deploying agents with compliance requirements
Researchers working on agent safety and governance

Formats

Workshop

Half-day or full-day hands-on session. Build a deterministic agent from scratch.

Multi-Session Course

4-week program covering the full curriculum with code reviews and exercises.

Conference Talk

60-minute deep dive into deterministic agent architecture and delegation governance.

Private Training

Custom curriculum tailored to your team's stack, use cases, and compliance needs.

Interested in bringing this to your team or event?