RESOURCES

Production-grade references for AI engineering teams

Checklists, playbooks, and cheatsheets from real deployments. Built for teams shipping production AI systems.

START HERE

Choose the asset that matches your situation

Use them to route a specific engineering decision.

Unsure whether this should even be agentic?

Start with the enterprise assessment kit to score suitability, autonomy level, and governance risk before build effort compounds.

Open resource → Prioritize

Multiple enterprise AI initiatives are competing for budget

Use the portfolio triage worksheet to classify what should be funded, redesigned, simplified, or stopped before the roadmap hardens.

Open resource → Procure

Comparing vendors, platforms, or advisory partners

Use the vendor evaluation scorecard when procurement and technical stakeholders need one architecture-based comparison frame.

Open resource → Stabilize

Agent pilot works, but production feels fragile

Start with the production AI audit to review failure modes, state, observability, and rollout risk before scale exposes the gaps.

Open resource → Build

Shipping LangGraph workflows with state and approvals

Use the LangGraph cheatsheet when the implementation problem is checkpointing, HITL gates, and state design.

Open resource → Debug

RAG answers are wrong, weak, or unstable

Use the RAG quality checklist to walk the pipeline from ingestion and chunking through retrieval and final grounding.

Open resource → Govern

AI governance needs a board-ready evidence package

Use the Board Evidence Package to brief executives, procurement, or audit committees with structured artifacts: maturity snapshot, governance map, kill list.

Open resource → Map

Production AI systems need a governance control map

Start with the Governance Control Map Sample to see how deployed systems are mapped to autonomy levels, permission violations flagged, and sovereignty gaps identified.

Open resource →

RESOURCE LIBRARY

Additional implementation references

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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Architecture Template Kit (PDF)

Architecture Decision Record Kit for AI Systems

Document AI Design Choices Like a Principal Engineer

ADR template for AI/ML systems with 10 pre-filled examples covering the architecture decisions that matter most: single-agent vs multi-agent, RAG vs fine-tuning, checkpoint backends, vector DB selection, orchestration framework, and more.