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4/10 Products & Tools 30 Jun 2026, 18:00 UTC

Acti launches an AI-powered smartphone keyboard with natural language shortcuts across iOS and Android apps.

Embedding AI at the keyboard layer bypasses the walled gardens of individual apps, creating a persistent context window for user actions. By allowing custom natural language shortcuts, Acti shifts the interaction model from passive text prediction to active agentic execution directly at the input level. This could significantly reduce friction in mobile workflows if the latency and privacy constraints are properly managed.

What Happened

Startup Acti has introduced a new AI-integrated keyboard for both iOS and Android devices. Unlike standard predictive text engines, this keyboard acts as a host for AI agents, allowing users to execute tasks and generate content across any application using natural language commands and custom shortcuts.

Technical Details

By operating at the OS keyboard layer, Acti gains a highly privileged vantage point: it sits directly between the user's intent and the application's input field. This architecture allows the AI to function universally across the mobile ecosystem without requiring direct API integrations with fragmented third-party apps like WhatsApp, Gmail, or Slack. Users can define custom macros via natural language (e.g., "summarize this thread" or "draft a polite decline"). The keyboard's underlying model processes the prompt and executes the action by injecting the resulting text directly into the active app's input stream.

Why It Matters

From an engineering and UX standpoint, the keyboard is the ultimate mobile bottleneck. Owning this layer means Acti bypasses the fragmentation of app-specific AI assistants. Instead of waiting for Apple Intelligence or Google's Gemini system-level integrations—which are often hardware-gated to the newest devices or slow to roll out—Acti provides an immediate, cross-platform agentic layer. This effectively shifts the mobile paradigm from "AI as a destination app" to "AI as a persistent utility."

What to Watch Next

The primary technical hurdles for Acti will be latency, battery consumption, and privacy. Processing natural language agents locally on mobile hardware is computationally expensive, while relying on cloud APIs introduces latency that can ruin the typing experience and raises severe data privacy concerns regarding keystroke transmission. Watch how Acti balances on-device SLMs (Small Language Models) with cloud-based LLM routing, and whether OS gatekeepers like Apple and Google will introduce new security policies to restrict third-party keyboard capabilities in response to this agentic behavior.

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