Connected by a concept
Architecture
9 articles across the publication.
How to Release an AI Change Without Guessing
Build a versioned release bundle, quality gates, limited rollout, and rollback plan for an AI assistant. Compare task quality alongside latency and failures.
When a Document Assistant Answers Without Evidence
Design a document assistant around authorization, source versions, evidence sufficiency, and citation checks rather than confidence alone.
When Caching Makes an AI Answer Fast and Wrong
Design scoped, versioned answer-cache keys and invalidation rules. Learn how stale evidence, permission changes, and concurrent fills affect correctness.
Why AI Requests Wait: Bounded Queues and Deadlines
Use a worked queue example to understand overload, admission limits, deadlines, retries, and the difference between offered and successful throughput.
Why an AI Agent Creates the Same Ticket Twice
Follow a lost tool response through an agent, policy gate, action ledger, and idempotent service. Learn why a timeout cannot prove an action failed.
Why More AI Replicas Do Not Immediately Fix a Spike
Trace demand through an autoscaling controller, provisioning, model startup, and readiness. Calculate the backlog accumulated before new capacity can help.
Your AI Model Is Fast. Why Are Users Still Waiting?
Trace a slow AI response from client to queue, prefill, decode, and delivery. Learn to investigate a traffic spike before choosing an intervention.
Inside a production RAG pipeline.
A reference design that puts source versions, authorization, retrieval quality, and failure handling around generation.
The agent isn’t one model anymore.
Models propose. Tools execute. State remembers. The surrounding system makes the loop useful and accountable.