Blog
Practical notes for evaluated recommendation systems.
Short articles for teams moving from recommendation experiments to auditable production rollouts.
A build vs buy recommendation system guide for teams weighing managed tools, in-house platforms, self-hosted control, evaluation evidence, and rollback needs.
Artifact manifest rollback for recommendation systemsHow artifact manifest rollback keeps recommendation models, features, and serving artifacts recoverable without turning every issue into a service rollback.
Recommendation API observability: what to log before incidentsRecommendation API observability guidance for request IDs, tenant and surface labels, empty recommendation rates, latency, warnings, and rollback debugging.
Recommendation system evaluation checklist for production rolloutsA practical recommendation system evaluation checklist covering exposure logs, outcome joins, guardrails, decision records, and rollback readiness.
When a self-hosted recommendation system makes senseA practical checklist for teams considering self-hosted recommendation infrastructure instead of a managed black-box service.
Evaluate before changing recommendation rankingHow to use exposure and outcome joins, guardrails, and offline reports before shipping recommendation ranking changes.
Auditable recommendation rollouts need more than model scoresA practical view of recommendation rollouts that keep request IDs, exposure logs, artifact versions, and rollback levers in the same decision record.