AI-Assisted GTD
Getting Things Done when an agent handles the capture and the planning: what changes in the five steps, how voice capture fits, and where a plain to-do list stops being enough.
3 articles
AI GTD Methodology: When AI Agents Take Over the 5-Step GTD, Task Management Enters Autopilot Mode
A deep dive into how AI fundamentally reshapes David Allen's GTD methodology. From 5 steps compressed to 3 (Smart Capture → Auto Plan → Auto Engage), AIGTD uses Agent-Native architecture to transform tasks from reminders into work units delegatable to AI. Includes the AI Two-Minute Rule, 6-dimensional context model, and task automation levels.
In this topic
- The Ultimate Voice-to-Task Guide: From Speech Capture to AI Auto-Execution
A deep dive into Voice-to-Task technology and best practices. Covers NLP commitment language recognition, zero-friction capture principles, pending confirmation inbox patterns, smart deduplication, and context preservation. Compares Plaud NotePin, Otter.ai, Todoist Ramble, and shows how AIGTD elevates voice input from a recording tool to an AI execution trigger.
- GTD vs Todo Lists: How AI Ends the Twenty-Year Productivity Tool Debate
A deep analysis of the fundamental differences between GTD methodology and todo lists, and how AI Agents change the very premise of this discussion. David Allen's GTD was designed for the paper era with one core assumption: humans are the only executors. AI shatters that assumption. Compares Motion, Reclaim, Sunsama, Todoist, Taskade, and 3 more products, showing how AIGTD delivers todo-list simplicity + GTD completeness + AI execution power in one system.