Meta released Muse, a set of AI development tools including Muse Spark (an API) and Muse Code (a multi-agent terminal tool) for building applications. It's positioned as an integrated development environment for working with Meta's AI models.

• Muse Code enables multi-agent coding directly in the terminal, automating parts of the development workflow
• The tools are built around Meta's Model API, letting developers integrate Meta's AI capabilities into their projects
• Installation is straightforward via a single command line script

New global regulations are forcing online platforms to verify user age, but existing solutions are clunky, privacy-invasive, and costly to build in-house. Verifai offers a developer-focused API that runs on-device selfie estimates and document checks, with pay-as-you-go, tiered subscriptions, and enterprise plans to simplify compliance and lower legal risk.

• New age-verification laws (France's minor bans, UK's Online Safety Act) are pushing platforms toward compliance solutions rather than risky in-house builds
• Verifai's developer-first API lets teams drop in selfie, document, or on-device age checks with pay-as-you-go and tiered pricing
• Running FairFace via TensorFlow.js client-side means only a pass/fail flag hits servers, avoiding biometric data storage
• Deep integration into onboarding/trust-and-safety flows creates high switching costs, locking customers in against rivals like Yoti or Persona