xAI has rolled out Grok Build to every user on the web and mobile, moving the app-creation tool out of its earlier limited beta.

Grok Build lets users describe an app, game, website or dashboard in a chat and have Grok generate a working version live, across web, iOS and Android. The feature launched in July as an Early Beta restricted to SuperGrok Heavy subscribers, but xAI says it has since been made faster, given publishing and sharing capabilities, integrated with X, and connected to its own models for use inside the apps it builds.

Published apps get their own address on the grok.me domain, with creators able to set access as private, link-only or fully public, or connect a custom domain instead. Each app also receives a generated cover image, which can be regenerated, replaced with an upload, or redesigned through conversation with Grok.

Apps shared on X render inline with a banner carrying the creator's handle, and games are given a "play affordance" in the card.

Additional features introduced since the beta include the ability to let others remix a published app, custom domain support, export to GitHub, secrets storage for third-party API keys, and connectors for pulling in external data to build dashboards.


AI Contracts Decoded: What Fortune 500 Legal Veterans Know That You Don’t
When Microsoft refuses to negotiate indemnification with their biggest customers, what does that mean for your AI vendor contracts? When IBM data shows 97% of AI breaches stem from compliance failures—most being supply chain-related—who holds liability? When employees download shadow AI tools with zero cybersecurity controls, what recourse does your company have? None. Cathy Mulrow-Peattie brings perspective most outside counsel lack: Fortune 500 in-house experience at MasterCard and Omnicom, General Counsel at an AI startup, now advising enterprises. She starts with business goals before technology, technology before contracts—because she’s been in the hot seat when governance fails. You’ll learn: • Why 10-year AI contracts create risk and 90-day pilots with exit strategies are essential • The IP paradox: machine-generated outputs aren’t copyrightable but terms of use matter • How LLM providers retain “certain uses” of your data and when private instances become mandatory • Why contractual risk allocation to key vendors is your only viable strategy Key topics: Supply chain due diligence • The 97% compliance failure rate • Shadow AI liability traps • Benchmarking gaps • Hallucination disclaimers • GDPR/CCPA requirements • NY DFS Part 500 • Acceptable use policies • Dark web data sourcing • Evolutionary AI governance For: CISOs, CIOs, Chief Legal Officers, and compliance leaders navigating AI vendor relationships Contractual realities from someone who’s negotiated with Microsoft, advised Fortune 500s, and managed governance failures.
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