How AI works, mapped: Models, data, tools and agents

In this class

What this class covers

1. 01Identify required data through refund policy and customer support examples
2. 02Use five prompt essentials to clarify requirements and output formats
3. 03Compare predefined workflows and autonomous decisions through an event planning example
4. 04Recognize external data risks and define tool permission boundaries
5. 05Check answer sources and action results to verify completion

Instructor

Learn with Eugene Wang

Eugene Wang

Eugene Wang

Co-founder, USPACE | Backer-Founder | INSIDE

• Bridges technology and business, with experience in product, systems, operations, and organizational growth
• Hands-on in industry innovation across digital media, crowdfunding, and shared parking
• Brings a founder’s perspective to how technology reshapes markets and business models
• Keeps putting AI into practice and studying its use in productivity, team collaboration, and enterprise adoption

Twin · 4 classes

4 courses in Twin

One price covers all 4 classes. Start with the one you want.

1. 01 How AI works, mapped: Models, data, tools and agentsEugene Wang · About 30 min This course
2. 02 All-purpose agent workflow: Pick one task to trigger and automateVivi Chen · About 35 min →
3. 03 Build a daily briefing assistant with ChatGPT × NotionEugene Wang · About 25 min →
4. 04 Super AI assistant: Daily briefings, meeting notes and schedulingEugene Wang · About 35 min →