LeanPub two-book bundle
Build the agent. Secure the agent. Ship the agent with evidence.
Enterprise AI Agents in Production brings together two practical books for teams moving past demos: one on building production agents with Claude Code, and one on securing enterprise AI agents before autonomy becomes liability.
If your agents can use tools, call MCP servers, retrieve internal knowledge, edit code, open tickets, or influence customer workflows, you do not only need better prompts. You need an operating model.
This bundle is for engineers, architects, platform teams, security leaders, and risk owners who want useful AI agents without pretending autonomy is free.
Get the LeanPub bundle View the Claude Code book View the security book
What is inside
Claude Code: Building Production Agents That Actually Scale
A field guide for building Claude Code production agents that can survive real repositories, review habits, cost pressure, MCP tools, permissions, evals, observability, and rollback. The book is written for engineers who already know the demo works and now need the operating loop around it.
Securing Enterprise AI Agents
A practical guide to AI agent security for enterprise teams. It covers bounded AI autonomy, AgentSecOps, MCP security, RAG governance, identity controls, approval flows, audit evidence, evals, policy, and regulatory readiness.
Why buy the bundle
Most teams split the problem in two. Engineering works out how to make agents useful. Security arrives later and tries to wrap controls around whatever already shipped.
That is backwards.
The production question and the security question are the same question: what can the agent do, under whose authority, with what evidence, and how do we stop or explain it when the run goes sideways?
The bundle gives you both halves:
- build production AI agents with Claude Code, MCP, hooks, permissions, evals, observability, cost controls, and review records
- secure enterprise AI agents with bounded autonomy, AgentSecOps, RAG governance, identity, approvals, policy gates, audit trails, and regulatory readiness
- connect engineering delivery with the evidence security, risk, and audit teams will ask for later
Who it is for
This bundle is for:
- senior engineers and tech leads building agentic workflows
- platform teams designing internal AI agent tooling
- enterprise architects turning AI pilots into operating models
- CISOs, security architects, and risk owners reviewing agent deployments
- financial-services and regulated teams that need agents to be useful without becoming ungoverned operators
If an agent can touch a repo, a ticket queue, an API, customer data, an internal knowledge base, or a regulated workflow, treat it like production infrastructure. That is the line this bundle takes.
Start here
If your immediate problem is delivery, start with the Claude Code book. If your immediate problem is risk, start with Securing Enterprise AI Agents. If you are responsible for both, get the bundle and read them together.