Phase 8: Multi-Agent Systems & Platform Architecture · 45 min · Claude Code · MCP · Python
Platform Architecture for AI-Native Products
Nearly every tool built in this course already sits at a specific layer. A platform is what happens when you stop rebuilding those layers per product.
Real-world application: Naming the specific layer a capability belongs to — not just 'infrastructure' — is the architectural vocabulary that distinguishes a platform engineer from someone who's only ever built one product at a time.
What you will learn
- Name the six-layer platform architecture: interaction, context, model behavior, tool/agent execution, observability, governance
- Classify a given capability into the correct architectural layer
- Explain what it costs a team to rebuild these layers per product instead of sharing them
- Recognize which of this course's own artifacts already map onto specific platform layers
Introduction
Platform Architecture for AI-Native Products
Objective
Classify a set of real components, including several from earlier in this course, into the correct AIRA-F platform layer based on their actual function.
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You've read the first 2 sections. The rest of this lesson covers The Problem, The Concept, Build, Check Yourself, Key Terms & Next — plus a hands-on lab, quiz, and project artifact.
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