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AGENT ARCHITECTURE
Why Prompt Chains Fail in Production (And How Typed LangGraph State Fixes Them)
Marcus Vance — Principal Systems Architect
A forensic breakdown of why unconstrained agent loops drift after 4 tool calls—and how Pydantic state schemas + 500-case eval gates deliver 99.4% reliability.
Linear prompt chains compound error rates exponentially: a 95% per-step accuracy drops below 77% across five sequential steps. By enforcing typed state transitions, explicit retry budgets, and deterministic JSON schema validators at every edge, enterprise teams turn fragile demos into auditable production infrastructure.
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