megachangelog
Announcement

How Scale AI unifies design and performance with Next.js and Vercel

Scale AI, a data platform serving ML teams, shares how they scaled their product with only three designers using Vercel and Next.js to unify design and performance workflows.

Scale is a data platform company serving machine learning teams at places like Lyft, SAP, and Nuro. It might come as a surprise to learn that they do all this with only three designers. Their secret to scaling fast: . Vercel and Next.js

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More from Vercel

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Feature

OpenAI Decisions API now available on AI Gateway

OpenAI's Decisions API is now accessible through Vercel's AI Gateway with an OpenAI-compatible endpoint, enabling decision models to answer typed questions and return probabilities, choices, and scores for routing, triage, and guardrails use cases. Support is available across the OpenAI SDK, AI SDK, HTTP API, and CLI with the latest versions.

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Feature

Timestamp attributes now supported in Vercel Flags

Vercel Flags now supports timestamp attributes for entities, allowing you to create time-based targeting rules. Use this feature to run limited-time campaigns, show content between specific dates, or target users based on registration date.

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Feature

Glyph Cluster now available in stealth on AI Gateway

Glyph Cluster, a reasoning model for coding and long-context analysis, is now available as a stealth model on Vercel's AI Gateway for Pro and Enterprise plan teams with purchased AI Gateway credits at no cost during the stealth period. The model supports function calling, streams responses, and can be accessed via AI SDK, OpenAI-compatible APIs, and coding agents.

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