AI Agent Engineering Playbook
Internal Production Standards
The engineering standards we apply to every agent system we build. 12 failure modes with mitigation patterns, production gates, and deployment checklists.
Free Download
Build agents that don't break in production
Get the ActiveWizards engineering playbook covering Pydantic validation, state checkpointing, HITL patterns, and regression evals.
What's covered
Inside the playbook
01
Architecture Patterns
- Single-agent vs multi-agent selection
- State machine design
- Tool orchestration patterns
- Human-in-the-loop gates
02
Failure Mode Catalog
- Infinite loops
- Context window overflow
- Tool permission escalation
- State corruption
- Cascading failures
- Silent hallucination
03
Production Gates
- PRISM G1: Scope Lock
- PRISM G2: Architecture Audit
- PRISM G3: Adversarial Validation
- PRISM G4: Observability Wiring
- PRISM G5: Deployment Proof
04
Deployment Checklist
- Load testing
- Rollback procedures
- Monitoring dashboards
- Cost budgets
- Escalation paths
Next Step
Turn this into a running system
Use this resource to sharpen the engineering decision, then move into the capability path that implements the system with production discipline.
See AI Agent EngineeringNeed direct intake instead? Submit Specs.