AI Agents Playbook (PDF)

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.

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Build agents that hold up 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

Explore the related engineering path

Use this resource to sharpen the engineering decision, then explore the related review, architecture, or implementation scope.

See AI Agent Engineering

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