Product updates, model guides and practical AI engineering.
Design provider recovery around scoped evidence, representative probes, gradual traffic restoration, and explicit compatibility and cost constraints.
Read articleA practical design for image-generation queues, bounded retries, uncertain provider outcomes, and spending controls that survive worker failures.
Read articleBuild an auditable media-job lifecycle with stable identities, versioned inputs, durable events, protected artifacts, and honest delivery records.
A June 1, 2026 refresh of model selection: choose by workload tier first, then compare current model families, latency, and completion cost.
Read articleA refreshed quickstart for 2026: use one API endpoint to connect current mainstream models without hardcoding last year's defaults.
Read articleHow to define triggers, degradation paths, communication, and post-incident review when an upstream model or provider becomes unstable.
Read articleHow to use offline evaluation, shadow traffic, manual review, and rollback switches before promoting a new model into live traffic.
Read articleHow to define ownership, key lifecycle, and budget boundaries when engineering, operations, content, and automated agents share one AI gateway.
Read articleHow to design an observable, fallback-ready, progressively deployable routing layer when one model is no longer enough.
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