End-to-End Architecture and Value Tradeoffs
Architecture is the art of spending complexity only where it changes the outcome. Draw a complete Claude system from input through feedback and operations. Choose among augmented calls, workflows, agents, and multi-agent systems. Decompose complex work around evidence, authority, and verification boundaries. Defend cost, latency, quality, safety, and maintainability tradeoffs. Identify when additional model capability cannot repair a structural design flaw. A team launches a contract-review assistant. One prompt contains the contract, policy library, extraction schema, negotiation rules, and a request for a final redline. The demo works. Production does not. Large contracts exceed the practical context budget. Policy versions conflict. The model returns valid JSON with an unsupported legal conclusion. Reviewers cannot see which source supported which change. Retrying increases cost without changing the failure. A larger model improves prose while leaving provenance, authority, and lifecycle ownership unresolved. The system is not failing because the prompt needs another sentence. It is failing because several different responsibilities have been compressed into a single probabilistic step. An end-to-end architecture includes more than the model call. For every edge, ask: What data crosses the boundary? Which identity and permission apply? What schema or contract is enforced? What happens on timeout, ambiguity, or partial failure? What evidence is retained? Who owns the next decision? An architecture diagram without failure paths is a marketing…
End-to-End Architecture and Value Tradeoffs: Architecture is the art of spending complexity only where it changes the outcome.
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