A hands-on playbook for building reliable, policy-safe, and cost-aware AI assistants. You'll design MCP tool contracts, wire up memory that stays useful over time, orchestrate agent graphs, and ship production systems with hard SLOs, golden tests, and instant rollbacks.
- Built on proven patterns: JSON Schema/OpenAPI contracts, eval pipelines, SLO gates, and signed audit logs.
- End-to-end examples in TypeScript and Python, with Docker/Kubernetes templates and MCP tool servers.
- Field-tested guidance on approvals, PII redaction, provenance, and incident recovery.
About the TechnologyAgentic RAG pairs retrieval with tool use and planning. MCP (Model Context Protocol) standardizes how agents discover tools, validate inputs, and call services. Together, they enable modular AI systems that can be versioned, evaluated, and safely deployed at scale.
What's Inside- Architecture: control/data planes, policies, contracts, traceability, reliability.
- MCP servers: capability discovery, validation, idempotency, streaming, golden I/O.
- Retrieval & memory: chunking, hybrid search, scoring, pruning, right-to-forget.
- Orchestration: agent graphs, budgets, approvals, batching, distributed execution.
- Safety & compliance: threat models, guardrails, secrets, signed audits, change control.
- Evaluation: golden sets, behavior matrices, LLM-as-judge, CI/CD gates.
- Operations: Compose/K8s deploys, observability, incident runbooks, version pinning.
Who this book is for
- Engineers & architects shipping real AI features, not demos.
- Team leads who need repeatable reliability, cost control, and governance.
- Security/compliance partners looking for auditable AI workflows.
- Builders moving from prompt hacking to production systems.
Models, prices, and policies change weekly. Without contracts, gates, and rollbacks, small edits become outages. This book gives you the scaffolding to ship quickly and reverse safely-before the next model update breaks your app.
Start productive on day one: run the Compose stack, pass the canary evals, and ship a gated release by the end of the week. Grow into advanced patterns-multi-agent routing, federated provenance-when you're ready.
One incident averted or one failed rollout avoided pays for the book. You'll reuse the same tests, gates, and dashboards across every agent and tool, turning "it feels slower" into actionable metrics and fast fixes.
Build agents you can trust. Pin your prompts, sign your audits, enforce your SLOs-and ship with confidence.
Get the book now and turn your AI stack into a reliable product, not a science experiment.