The 6 Dimensions To Score Before Recommending an AI Engagement
How to evaluate whether an AI initiative should be funded, redesigned, consolidated, or stopped using a six-dimension readiness scorecard.
2026-07-02 · 9 min
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Engineering Blog
Production patterns for AI agents, RAG pipelines, data infrastructure, and MLOps. No theory-only posts — every article comes from a real deployment.
What To Measure Before You Expand An AI Rollout
A practical rollout-expansion scorecard for AI systems: what to measure before a team broadens users, workflows, permissions, or geographic scope.
2026-06-30 · 10 min
Temporal Observability for AI Workflows: What to Instrument Beyond Workflow Status
Temporal workflow status tells you if a workflow completed. It does not tell you if it produced correct results, stayed within cost budget, or met latency SLAs.
2026-06-29 · 8 min
What Human Feedback Should Block An AI Release
A practical release-gate guide for AI systems: which human feedback signals should block release, which should trigger redesign, and which can stay inside normal iteration.
2026-06-25 · 10 min
What To Log Before An AI Agent Gets Write Access
A practical logging contract for production AI agents before write access expands: action requests, policy decisions, approval evidence, rollback signals, and recovery verification.
2026-06-23 · 10 min
Building Durable RAG Pipelines with Temporal: Ingestion, Embedding, and Index Management
How to use Temporal workflows to build fault-tolerant RAG ingestion pipelines with reliable embedding, partial-update handling, and index consistency.
2026-06-22 · 8 min
When Enterprise RAG Needs A Data Owner, Not Another Vector Database
A practical guide to enterprise RAG ownership: when retrieval quality is failing because source ownership, access rules, freshness, and document accountability are weak.
2026-06-18 · 10 min
What Agent Observability Should Trigger a Production Audit
How to decide when LangSmith traces, latency drift, reviewer overrides, and write-path risk should escalate from monitoring to a real production AI audit.
2026-06-16 · 10 min
Temporal Workflow Versioning for AI Pipelines: Deploying New Model Versions Without Downtime
How to use Temporal's patching API, task queue routing, and shadow deployment to upgrade AI model versions without breaking in-flight workflows.
2026-06-15 · 8 min
The Fastest Way To Diagnose A Stalled AI Rollout
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.
2026-06-11 · 10 min
Why AI Adoption Fails Without Workflow 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.
2026-06-09 · 11 min
Temporal Activity Retry Patterns for LLM API Calls: Backoff, Circuit Breaking, and Cost Caps
How to configure Temporal retry policies, circuit breakers, cost caps, and provider failover for LLM API calls in production workflows.
2026-06-08 · 8 min