Production-Grade AI Systems

From Toy Agents
to Production Systems

Build, deploy, and secure AI agents you can trust. Step-by-step playbooks, production code examples, and enterprise-grade security guidance.

Explore Playbooks → Security First
500+
Production Deployments
ISO 42001
Security Compliant
24 Hours
To Production Agents
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Design AI Agents That Actually Work

Stop building demos. Start shipping production systems with our comprehensive playbooks and battle-tested patterns.

Single vs Multi-Agent Architecture
Choose the right design for your use case
Memory & Planning Systems
Build agents that learn and adapt
Tool Selection & Integration
Connect your agents to real-world systems
Evaluation & Failure Modes
Catch issues before they reach production
Secure

Security & Trust Built In

Helping teams design, deploy, and secure AI agents they can trust. From governance to compliance.

Prompt Injection Defense
Protect against adversarial inputs
Tool Abuse Prevention
Policy enforcement and guardrails
Compliance Mapping
NIST AI RMF, ISO 42001, ISO 27001
Observability & Governance
Monitor, audit, and control agent behavior
Playbooks

Production-Ready Code & Patterns

Battle-tested implementations you can deploy today. Not tutorials—production code.

01

LangGraph Production Patterns

Build stateful, multi-step agents with proper error handling and recovery.

Python LangGraph
02

Secure Tool Calling

Implement function calling with proper authorization and sandboxing.

Security TypeScript
03

Multi-Agent Orchestration

CrewAI and AutoGen patterns for coordinated agent systems.

CrewAI AutoGen
04

RAG with Security Controls

Secure retrieval-augmented generation with data access policies.

Security RAG
05

Agent Observability

Monitoring, tracing, and debugging production agent systems.

Monitoring OpenTelemetry
06

Evaluation Frameworks

Test agent behavior, catch failure modes, measure performance.

Testing Evaluation
Access All Playbooks →
Security Architecture

Enterprise-Grade Security

Reference architectures and deployment patterns for secure, compliant AI agent systems.

Threat Modeling

Identify and mitigate agent-specific risks: autonomy abuse, data exfiltration, and tool misuse.

Guardrails & Policy

Implement runtime controls, input validation, and output filtering at every layer.

Audit & Compliance

Map to NIST AI RMF, ISO 42001, ISO 27001. Production-ready audit trails.

Ready to Build
Production Agents?

Stop wasting time on toy demos. Get the playbooks, code, and security guidance you need to ship AI agents that actually work.