Production Agent Architecture
Design a production operations copilot across planning, tools, memory, approval, telemetry, persistence, and failure recovery.
Production project
Production Operations Copilot
An internal copilot should investigate service issues using documentation, service status, deployments, and incident data while keeping risky actions human-approved.
Who this is for
- •Experienced engineers moving agent prototypes toward production
- •AI platform and backend engineers designing internal copilots
How this helps
- •You can evaluate whether an agent design is genuinely production-ready
- •You leave with an architecture you can adapt to an internal copilot
What you will learn
The capabilities, not just the keywords.
- •Separate planner, tool, memory, and policy responsibilities
- •Design approval gates around risky actions
- •Add trace and evaluation signals
- •Plan persistence and recovery for multi-step workflows
- •Identify cost, latency, and reliability trade-offs
Real production project
Production Operations Copilot
An internal copilot should investigate service issues using documentation, service status, deployments, and incident data while keeping risky actions human-approved.
What we build
- •Agent API boundary
- •planner/tool flow
- •memory/state design
- •approval checkpoint
- •trace schema
- •failure recovery path
Stack
- •LLM API
- •LangGraph-style orchestration
- •MCP/tool interfaces
- •persistence design
Production concerns
- •Least privilege
- •auditability
- •retry storms
- •state recovery
- •model fallback
- •latency
- •cost
Finished deliverables
- •Architecture diagram
- •core workflow implementation
- •trace model
- •production readiness checklist
Prerequisites
Required
- •Tool calling fundamentals
- •Basic agent workflow understanding
Helpful, but optional
- •AG05
- •AG08
- •RAG fundamentals
Before the session
Come ready to build.
- •Bring an existing agent idea if you have one
- •Python or TypeScript environment
- •LLM API access
What to expect
What you get
Something useful after the call ends.
- •Architecture and code skeleton
- •risk map
- •observability checklist
- •personalised hardening roadmap
Where to go next
Agent Fundamentals → Orchestration → MCP → Production Architecture
Every session can be booked independently. If you already know the prerequisite material, skip ahead.
Useful before this
Good next steps
This is currently the end of this flagship path.
Teaching proof
Review the evidence first.
See workshop delivery, technical projects, and teaching proof before booking.
Ready?
Request AG10: Production Agent Architecture
Share your current level and what you want to build. The session can be adapted without changing its core outcome.
Request this sessionFAQ
Can I book only this session?
Yes. Every session is designed to work independently.
Can I bring my own project?
Yes, when it fits the session outcome. We can map the concepts onto your project instead of the default example.
What if I already know part of the topic?
We can move faster through familiar material and spend more time on implementation, failure modes, and production trade-offs.
Is the session recorded?
Recording is not promised by default. Confirm this before the session if you need it.
What should I install?
The preparation section above lists the default setup. You will receive any session-specific setup notes before the call.
Are API or cloud charges included?
No. Any third-party API or cloud usage is paid directly through your own account unless explicitly agreed otherwise.