Production patterns for AI agents, RAG pipelines, data infrastructure, and MLOps. No theory-only posts — every article comes from a real deployment.
A practical logging contract for production AI agents before write access expands: action requests, policy decisions, approval evidence, rollback signals, and recovery verification.
How to use Temporal workflows to build fault-tolerant RAG ingestion pipelines with reliable embedding, partial-update handling, and index consistency.
A practical guide to enterprise RAG ownership: when retrieval quality is failing because source ownership, access rules, freshness, and document accountability are weak.
How to decide when LangSmith traces, latency drift, reviewer overrides, and write-path risk should escalate from monitoring to a real production AI audit.
How to use Temporal's patching API, task queue routing, and shadow deployment to upgrade AI model versions without breaking in-flight workflows.
A practical way to diagnose stalled AI rollouts: classify the failure surface, separate architecture from workflow issues, and decide whether the team needs audit, stabilization, or redesign.
Why AI adoption stalls after the pilot: unchanged handoffs, weak approval design, missing exception routing, and no operating model for reviewers, owners, and rollback.
How to configure Temporal retry policies, circuit breakers, cost caps, and provider failover for LLM API calls in production workflows.
A four-decision triage model for portfolio operators classifying AI initiatives by workflow evidence, ownership, data readiness, and maintenance burden.
Voice agents create business value when they leave behind useful artifacts: decisions, action items, open questions, evidence, handoffs, and review paths.
A decision framework for choosing between LangGraph and direct API calls — based on orchestration complexity, not ecosystem momentum.
One impressive voice-agent call is weak evidence. Production readiness requires repeatable scripted tests, boundary checks, artifact review, and cost controls.