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System boundaries and trade-offs

Architecture Guides

Follow decision-oriented guides through the components, alternatives, failure modes, and controls of production AI systems.

Guide

LLM Application Boundaries

Separate model behavior, application policy, tools, state, and validation into testable system boundaries.

Start with the core concept
Guide

Retrieval System Design

Trace ingestion, chunking, search, reranking, generation, citations, and evaluation as one evidence pipeline.

Start with the core concept
Guide

Agent Control Paths

Design tool authorization, state, memory, failure handling, and human control around probabilistic decisions.

Start with the core concept
Guide

Reliable AI Operations

Connect evaluation, latency, throughput, cost, privacy, security, monitoring, and release decisions.

Start with the core concept
FullStack AI Hub

Production AI engineering, connected from interface to infrastructure.

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