Video 3 [13:44] : Turning Ideas into Product Design with AI Agents: Demo

  1.  Module 3: Introduction and Instructions (Completed)
  2.  Video 1 [06:18] : Module Introduction (Completed)
  3.  Watch: The Agentic Future: Insights from Mark Zuckerberg (Completed)
  4.  Video 2 [05:55] : What is Agentic AI (Completed)
  5.  Video 3 [13:44] : Turning Ideas into Product Design with AI Agents: Demo (Completed)
  6.  Video 4 [09:48] : Manus AI: Demo ((Must view in order to complete this module item))
  7.  Video 5 [10:04] : AI and the Collapse of Time ((Must view in order to complete this module item))
  8.  Reading: From Software to Agentic AI Systems ((Must view in order to complete this module item))
  9.  Video 6 [06:31]: The Leap to Agentic AI ((Must view in order to complete this module item))
  10.  Video 7 [06:49] : Agentic AI vs AI Agents ((Must view in order to complete this module item))
  11.  Video 8 [08:28] : Workflow Redesign of HR Onboarding Process: Case Study ((Must view in order to complete this module item))
  12.  Watch: AI Agents for Shopping ((Must view in order to complete this module item))
  13.  Video 9 [06:44] : Why AI Agents Matter ((Must view in order to complete this module item))
  14.  Video 10 [03:31] : AI Agent Workflow in n8n ((Must view in order to complete this module item))
  15.  Video 11 [04:04] : Future of AI Agents ((Must view in order to complete this module item))
  16.  Self-Study Quiz 3.1. Think & Apply💡 Strategic Leadership in the Age of Agentic AI ((Must submit the Quiz))
  17.  Video 12 [04:20] : Final Thoughts ((Must view in order to complete this module item))
  18.  Self-Study Quiz 3.2: Think & Apply💡Understanding Agentic AI Systems ((Must submit the Quiz))
  19.  Self-Study Assignment 3.3: Think & Act 💡 From Friction to AI Agent Workflow ((Must view in order to complete this module item))
  20.  Reading: The Agent Design Challenge ((Must view in order to complete this module item))
  21.  Self-Study Assignment 3.4: Think & Act💡 Build a Real AI Work Assistant ((Must view in order to complete this module item))
  22.  Discussion Board 3.5: Think & Share 💡 From Tool Usage to AI Partnership ((Not yet completed))
  23.  Summary and Video Transcripts: Module 3 ⭐ ((Must view in order to complete this module item))
  24.  Professor Alvin's Recommendation for Further Learning: Module 3 ((Must view in order to complete this module item))
  25.  Module 3: Q&A Discussion Board ((Not yet completed))
  26.  Module 3: Feedback Survey ((Must submit the Quiz))

In this video, Professor Alvin demonstrates how AI-powered “vibe coding” tools can dramatically reduce the time and effort required to build digital applications. Using platforms like Mobbin, Stitch, and Lovable, he shows how a complex AI-powered supermarket cooking app can be designed and prototyped in under an hour. The session highlights how AI is transforming software creation from a highly technical process into a collaborative workflow where humans define problems and outcomes while AI accelerates execution.
Here are the prompt used by Professor Alvin in this demo:

1. Mobbin:

Search for a cooking and recipe mobile application with an intuitive onboarding experience and user journey.

Identify an app that demonstrates:
• Clean onboarding screens
• Recipe discovery
• Ingredient management
• Meal planning
• Modern mobile UI patterns

I want to use these screens as inspiration for designing a new AI-powered cooking application.

2. Stitch:

Design the following screens:

• Welcome / Onboarding
• Dietary Preferences
• Scan My Fridge
• Confirm Detected Ingredients
• AI Recipe Recommendations
• Missing Ingredients
• Shopping List
• Family Preferences
• Recipe Details
• Nutrition Summary

Create a clean, modern, mobile-first interface suitable for everyday shoppers.

3. Lovable

You are building a fully functional mobile application for CPF Food called "CPF Healthy Cooking Companion."

The application should include the following capabilities:

• Scan a user's refrigerator using a photo.
• Identify available ingredients using AI.
• Recommend recipes based on detected ingredients.
• Suggest missing ingredients required for selected recipes.
• Connect missing ingredients directly to the supermarket's e-commerce platform.
• Allow users to add missing items to their shopping cart.
• Maintain user dietary preferences and family profiles.
• Display nutritional information for recipes.
• Enable meal planning and saved recipes.

I have uploaded the interface designs created in Stitch.

Use those designs as the front-end reference and build a working application that matches the layouts while implementing the described functionality.