Start with your own needs
Choose something you want to do. Practice explaining your requirements and asking AI to build it, and learn how to work together.
Free 60-minute webinar · AI Agent foundations and practice
I will introduce my paid course at the end. Even if you do not buy it, I want this hour to help you find your next step.
02 / If you want to learn AI but have not started
I believe having something you want to make gives you a reason to learn. I will show you how to use your own AI Agent as a practice project, starting with a real need.
I have watched many YouTube videos,
but I cannot understand what they are talking about.— Translated from a pre-event survey response by a free AI user
You want to build an Agent but do not know where to start.
You want AI to remember your context and help with your work.
You have watched AI tutorials but still do not know what to use it for.
03 / You need a project of your own to practice on
I believe learning needs a place to practice.
If you want AI to remember you, you will explore how data is saved. If you want it to do work, you will learn how to connect tools and give instructions.
Your own Agent can keep changing with your needs.
Build it, use it and learn as problems arise. That is how you begin to understand what you are doing.
Start using it. Learn as you build.
Grow alongside your AI.
04 / Build the features you need, one step at a time
You do not need to build every feature at once.
Start with something that matters to you. Each useful feature gives you another chance to practice and another result to keep.
Choose something you want to do. Practice explaining your requirements and asking AI to build it, and learn how to work together.
Organize your habits, background and information so your Agent can remember, retrieve and use them when needed.
Connect the tools it needs and ask it to complete a task. Learn to check the result and decide what still needs your attention.
Collect the information and tools you use every day. Keep adding useful features and learning as your Agent becomes more suited to you.
Build an Agent you will use while developing the ability to keep improving it. Useful results give you a reason to continue.
05 / Three things I want to share in this hour
I have taken many courses and attended many webinars.
I know many webinars are designed to sell a course.
Mine is too.
I will introduce AI Agent School at the end.
Even if you do not buy the course, I want you to see where AI can help and know what to try when you return to your own work.
From organizing information and preparing content to repetitive daily work, see what AI can help with and choose a first task worth delegating.
I will explain how I choose AI tools, plan costs and describe requirements. You will know what to practice first and what comes next.
Explore how to add memory, carry out tasks, report results and gradually build a second brain of your own.

06 / Last April, I decided to start learning AI
Hi, I am Darks.
Last year, while receiving unemployment benefits, I decided to learn AI and spent over a thousand hours studying on my own.
Teaching unexpectedly helped me earn my first substantial income and start a solo business.
I went from unemployment to as many as 13 income sources,
reaching NT$3 million in revenue within a year.
I am not here to give grand speeches.
I take the things that worked during thousands of hours of practice
and organize them into lessons you can follow.
I believe in using what you learn and learning as you build.
Keep taking steps that produce something useful, and you can keep growing.
Darks.
Before you join
Yes. I will explain what a personal AI Agent is, what it can do and how to start. You do not need a paid tool subscription or any installation beforehand.
I cannot code either. I will use my experience to explain how AI can help with development. Our job is to explain requirements, guide the work and check results, and we can learn that by doing.
You can start with existing tools. I want to show you how a personal Agent can become a practice project: define requirements, build it, use it and change what does not fit. What you learn connects directly to what you are doing.
This is an introduction to the approach, costs and learning path. Building takes more practice. Start with a small feature and gradually make it useful to you.
Yes. I have organized my experience into AI Agent School and will explain how to follow the course. You do not have to buy it; I want you to know what you want to make and where to start.
Saturday, October 17, 2026, from 8 to 9 PM Taipei time. The viewing link and reminders will be sent to your registration email.
Yes. Registration includes both the livestream and the replay. When the replay is ready, we will email it to you so you can watch and review it later.
Set aside an hour for the project you want to start
Saturday, Oct 17 · 8–9 PM Taipei time
Registration includes the livestream and replay.