Working with AI like an engineer: Specs, task breakdown and controlled delivery

In this class

What this class covers

1. 01Define context, outcomes, constraints, and acceptance criteria in specifications
2. 02Clarify which decisions belong to people and which tasks AI executes
3. 03Follow along to create task breakdowns and acceptance records that document delivery

Instructor

Learn with Richard Lee

Richard Lee

Richard Lee

CTO and Head of R&D, TNL Mediagene

• CTO and Head of R&D at TNL Mediagene, leading the group's AI and strategic technology product development
• Long focused on media tech, cloud architecture, data, and ad tech, bringing generative AI into content and workflows
• Co-founded the recipe platform iCook and tech media INSIDE

Workflow · 5 classes

5 courses in Workflow

One price covers all 5 classes. Start with the one you want.

1. 01 AI's two limits: Too much to read, different every timeEric Wu · About 30 min →
2. 02 How to check AI output: Human, AI and independent adversarial checksPeggy Lo · About 25 min →
3. 03 Working with AI like an engineer: Specs, task breakdown and controlled deliveryRichard Lee · About 20 min This course
4. 04 AI cost control in practice: Tokens, models and run budgetsWisely Chen · About 30 min →
5. 05 Sort workflow steps: Break down a customer-support flowEric Wu · About 40 min →