Nov 2023 – Knowledge Gathering

Harnessing the Power of Personal Data for Your Intelligent Assistant


In anticipation of the December 2023 launch of personalized Intelligent Assistants, November 2023 is the critical time for you to gather your unique data. This process is straightforward: accumulate as much personal information as possible, focusing on details that define your daily life and preferences.

Key Areas for Data Collection:

  1. Professional Information: Capture details about your work, including projects, schedules, and professional networks.
  2. Personal Interests: Note your hobbies, favorite entertainment choices, food preferences, and other leisure activities.
  3. Daily Routines: Document your typical day, from morning routines to evening activities.
  4. Learning and Goals: Include information about your educational background, skills, and future aspirations.

Collection Method:

Simply start compiling this information in a single text file. There’s no need for organization or structure at this stage. The aim is to create a rich, comprehensive dataset that reflects your life.

Next Steps:

Once you’ve gathered your data throughout November, you’ll be ready to upload this file to your Intelligent Assistant in December. This simple yet effective process is the key to customizing an IA that truly understands and assists you, available at an accessible price of $20/month. Start gathering your data today and prepare to meet your AI companion in December.

Author: John Rector

John Rector is a Charleston-based entrepreneur, author, and AI strategist. He co-founded E2open, the supply-chain software company acquired for $2.1 billion in 2025, and in 2026 opened Charleston AI, a 3,000-square-foot lab that helps people and organizations understand and use artificial intelligence. He is the creator of The Reality Equation — a lecture series, book, and curriculum exploring attention, prediction, and how reality is experienced — and the author of more than two dozen books. He writes and speaks widely on artificial intelligence, attention, and the future of human work.

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