Doist Launches AI-Powered ‘Ramble’ for Effortless To-Do List Creation
AI
productivity
todoist
apps
voice-to-tasks
LLMs
Gemini
8
Voice to Action
Media Hype
7/10
Real Impact
8/10
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AI Analysis:
While the concept of voice-driven productivity tools is gaining traction, the demonstrated success of Ramble’s early beta suggests a genuine market need and strong potential for widespread adoption – a far cry from the initial hype around purely conceptual AI devices.
Article Summary
Doist has unveiled ‘Ramble,’ a groundbreaking new feature for its Todoist app leveraging the power of large language models to streamline task creation. Ramble enables users to convert spoken instructions into actionable to-dos, addressing the common frustration of needing to type notes or reminders on the go. The feature, built on Google’s Gemini 2.5 Flash Live model via Vertex AI, utilizes real-time speech understanding to capture everything from basic to-dos to complex tasks with deadlines and assignees. Unlike traditional note-taking apps, Ramble dynamically updates the task information as the user speaks, responding to edits and changes in real-time. Initial beta testing with over 150,000 users revealed impressive results: 76,000 testers completed approximately 290,000 Ramble sessions within three weeks, and task creation success rates improved significantly. The launch aligns with the growing trend of AI-powered smart rings and wearable devices that transcribe speech to create notes, reminders, and to-dos. Doist emphasizes that the audio isn’t stored or used for training, and the app is SOC2 Type II certified, reflecting a commitment to user privacy. The feature's success underscores the increasing demand for intuitive and hands-free productivity tools.Key Points
- Doist is launching ‘Ramble,’ an AI-powered feature for Todoist that converts spoken instructions into organized tasks.
- Ramble utilizes Google’s Gemini 2.5 Flash Live model to provide real-time speech understanding and task generation.
- Early beta testing showed significant improvements in task creation success rates, with over 76,000 users participating and completing 290,000 sessions.