Lesson 1: Developing New Skills: Prompt Engineering, AI Tool Evaluation
Objective
Students will deepen their understanding of prompt engineering and develop a framework for evaluating and selecting appropriate AI tools for creative tasks.
Key Ideas
Prompt Engineering: Beyond the Basics
Advanced Prompting Techniques:
Role-Playing: Instructing the AI to act as a specific persona (e.g., "Act as a seasoned marketing strategist...").
Chain-of-Thought Prompting: Breaking down complex tasks into smaller, sequential steps for the AI to follow.
Few-Shot Learning: Providing examples within the prompt to guide the AI's output style or format.
Temperature/Creativity Control: Understanding how parameters affect AI's output (more creative vs. more factual).
Iterative Refinement: The continuous process of adjusting prompts based on AI output to achieve desired results.
AI Tool Evaluation Framework
Purpose & Fit: Does the tool solve a specific creative problem or enhance a workflow?
Capabilities & Limitations: What can it really do? What are its known weaknesses or biases?
Ease of Use & Integration: How steep is the learning curve? Does it play well with other tools in your stack?
Cost & Licensing: Free vs. subscription, commercial use rights, data privacy policies.
Community & Support: Is there an active community? Good documentation? Responsive support?
Ethical Considerations: How was it trained? What are its potential biases? Is it transparent?
Staying Current in a Rapidly Evolving Landscape
Follow industry news, research papers, and reputable AI blogs.
Experiment regularly with new tools and features.
Participate in online communities and forums.
In-Lesson Activities
Advanced Prompting Challenge: Provide students with a complex creative task (e.g., "Write a short, humorous script for a 30-second animated commercial for a new eco-friendly cleaning product, targeting Gen Z, in the style of a TikTok trend"). Have them apply advanced prompting techniques to get the best possible output from an LLM.
AI Tool Review: Assign students a new or unfamiliar AI tool. Using the evaluation framework, have them research and present a brief review of the tool, including its pros, cons, and ideal use cases for a creative professional.
Talking Points
"Prompt engineering is less about magic words and more about clear thinking and iterative communication."
"Don't just adopt a tool because it's new. Evaluate it critically against your specific needs and ethical standards."
"The most valuable skill in the AI era might be the ability to learn and unlearn quickly."