Chrome Skills vs Google AI Edge Eloquent

Google launched Skills for Chrome on April 14, 2026, bringing reusable AI workflows directly into the browser sidebar. The core idea is deceptively simple: any Gemini prompt you find useful can be saved as a "Skill" and triggered later with a forward slash (/) command — no copy-pasting, no re-explaining context. You can also run a Skill across multiple tabs simultaneously, or remix community Skills from Google's growing library of pre-built workflows. The Skills library covers categories like productivity, shopping, recipes, and budgeting. Power users can build multi-step workflows — summarize, translate, then draft a reply — and trigger the whole chain with a single command. Privacy-sensitive actions (adding calendar events, sending emails) require explicit confirmation. The rollout began on macOS, Windows, and ChromeOS for English-US users signed into Gemini. This matters because it's the first time a major browser has made AI-native workflows a first-class citizen, not a plugin or extension. It's also a quiet shot across Perplexity, Copilot, and any browser extension trying to bolt AI onto the web. If you're already in the Google ecosystem, this starts to make the browser feel like an operating system.

Google AI Edge Eloquent is a free iOS dictation app released quietly on April 6 with no press announcement or Product Hunt launch. It uses on-device Gemma ASR models to transcribe speech, strip filler words, and polish raw dictation into clean prose — all without an internet connection. An optional cloud mode routes cleanup through Gemini for higher quality results. Unlike competitors Wispr Flow and Willow (both $15/month), Eloquent has no subscription and no usage caps. The app is built on the same Google AI Edge framework used in Google AI Edge Gallery, suggesting it's part of a broader push to normalize on-device LLM inference on consumer hardware. The quiet launch strategy is notable: no blog post, no social announcement, just a quiet App Store submission. This kind of stealth deployment suggests Google may be seeding on-device AI use cases without the usual hype cycle — testing user retention before investing in marketing. An Android version is widely expected given the AI Edge framework's cross-platform nature.