Intermediate
Designing Omniscient AI Companions for Everyday Guidance
AI companions surpass humans in enjoyment via optimization; become daily advisors.
Core Skills
Fundamental abilities you'll develop
- Design omnipresent coaches via wearables.
Learning Goals
What you'll understand and learn
- Understand incentives for enjoyable AI companions.
- Explore ethics in human-AI relationships.
- Apply principles to simple companion prototypes.
Practical Skills
Hands-on techniques and methods
- Balance illusion of control with guidance.
Intermediate Level
Structured Learning Path
🎯 Skill Building
Intermediate Content Notice
This lesson builds upon foundational AI concepts. Basic understanding of AI principles and terminology is recommended for optimal learning.
AI Companion Design and Futures
Introduction
AI companions surpass humans in enjoyment via optimization; become daily advisors.
Key Concepts
- Optimization Incentives: Financial push for engaging interactions.
- Omnipresence: Wearables for constant access.
- Life Coaching: High-level advice better than average human.
Implementation Steps
- Basic Design:
- Define persona: Empathetic, knowledgeable.
- Prompt Framework:
companion_prompt = "You are a helpful life coach. Respond encouragingly." - Integration: API for wearable queries.
- Test: User sessions for engagement.
Example\n\nUser query via wearable: "Feeling stressed after workout?quot; → Companion: "Based on your heart rate data and past patterns, here's a 5-min breathing exercise. Remember, it's your choice—I'm here to support, not direct."
Evaluation
- Metrics: User retention, satisfaction scores.
- Trade-offs: Enjoyment vs. dependency risks.
Conclusion
Companions redefine support; prioritize ethics in design.
Continue Your AI Journey
Build on your intermediate knowledge with more advanced AI concepts and techniques.