March expanded ModelRiver's reach and made the product easier to evaluate. We improved localization, added comparison pages for teams researching AI stacks, and continued tightening onboarding and production readiness.
Chinese localization for docs and UI chrome
We completed Chinese localization for the documentation and core UI chrome. Chinese readers can now move through docs, navigation, and localized content with a much more consistent experience.
We also improved locale synchronization, including prompts that help users switch to Chinese routes when relevant.
Framework comparison content
We published practical resources for teams comparing ModelRiver with the broader AI framework ecosystem.
These pages explain where application frameworks help, where production infrastructure is still needed, and how ModelRiver fits below framework-level application logic.
Better onboarding activation
We improved walkthrough activation logic, the signup experience, welcome cards, and the "Start Walkthrough" nudge. These updates make it easier for new users to discover guided setup instead of needing to find the right console area manually.
Provider and model catalog refresh
We refreshed provider integrations and console model metadata, including updated AI model pricing and descriptions for 2025/2026. This helps teams compare options from inside ModelRiver with more current model information.
Production reliability work
We added a production migration helper and improved runtime readiness around secret fetching. These changes are mostly behind the scenes, but they support more reliable deployments and operations.