
Voice agent for productivity

Voice agent for productivity
Recall is an AI powered personal assistant designed to manage email, calendar, and tasks. It operates primarily through voice interaction, allowing users to speak commands and queries without typing. The system processes user input to record, understand, and store spoken information, and it can generate personalized draft replies based on real person to person emails. Its core function is to surface the most relevant communications and commitments, filtering out noise such as newsletters. Each morning, Recall provides a curated briefing that summarizes important emails, calendar events, and tasks, aiming to reduce inbox anxiety and keep users focused on what matters. The tool includes several key capabilities. Voice input enables hands free interaction, with the interface moving through states of listening, thinking, and speaking. Smart reminders monitor sent mail and user commitments, nudging the user before deadlines are missed. The system adapts over time, learning which items the user actually cares about to improve its prioritization. During the private testing phase, access is restricted; the app requires users to be added as testers, and Google OAuth verification has been deferred for this period. The application is hosted at recall seven livid dot vercel dot app, and its privacy policy and terms of service are available on the site. Typical use cases involve daily workflow management. A user might wake up to the morning brief, then use voice commands throughout the day to check schedules, set tasks, or dictate messages. The assistant can scan incoming and sent mail to prevent dropped commitments, and it drafts replies when asked. Because the system relies on voice input and adaptive learning, it is suited for users who prefer hands free interaction and want a personalized assistant that improves with regular use. The technical requirement is access to the private testing queue, with eventual full authentication via Google OAuth once the testing phase concludes.