🎮 Gamified GenAI Prompting Workshop

Give the AI a tricky prompt, hide its response. Teams guess what the AI replied.
Closest guess wins points and bragging rights.

Focus: Mental model of LLM reasoning.
Develop intuition about how AI systems interpret and respond to different types of prompts.

Two teams write prompts for the same goal (e.g., "Write a LinkedIn bio for a data scientist").
The audience votes on the best AI output in head-to-head competitions.

Focus: Comparative prompt design.
Learn what makes one prompt more effective than another through direct comparison.

Show participants an AI output. They must guess what the original prompt was.
Teams compete to reverse-engineer the most accurate prompts from given responses.

Focus: How prompt structure impacts AI behavior.
Understand the relationship between input structure and output quality.

Give a task but restrict certain keywords (e.g., write a poem without using "AI," "future," or "tech").
Teams must be creative and find alternative ways to express ideas while meeting the constraints.

Focus: Creativity under constraint.
Learn how limitations can actually improve prompt effectiveness and creativity.

Master the art of getting AI to perform tasks without providing any examples or prior training on the specific task.
Learn how to craft clear, self-contained prompts that leverage the AI's pre-existing knowledge effectively.

Focus: Direct instruction techniques.
Understand when zero-shot prompting works best and how to structure prompts for maximum effectiveness without examples.

Learn to provide 2-5 high-quality examples to guide AI behavior and establish patterns for consistent outputs.
Practice selecting the most effective examples and structuring them to maximize learning transfer.

Focus: Example-based learning.
Master the balance between providing enough context without overwhelming the AI with too many examples.

Guide AI through step-by-step reasoning processes by explicitly asking it to "think through" problems.
Learn to break complex tasks into logical steps and encourage transparent reasoning from the AI.

Focus: Reasoning and problem-solving.
Understand how to elicit better analytical thinking and more accurate results through structured reasoning prompts.

Master the fundamental principles: clarity, specificity, context, and structure in prompt design.
Learn systematic approaches to prompt optimization including iterative refinement and A/B testing methods.

Focus: Systematic prompt design.
Develop a methodical approach to creating effective prompts using proven engineering principles and best practices.

Understand how temperature, top-p, and other parameters affect AI creativity, consistency, and output quality.
Learn when to use high temperature for creative tasks vs. low temperature for factual, consistent responses.

Focus: Output control and optimization.
Master the technical controls that fine-tune AI behavior beyond just the prompt text itself.

Teams prompt the AI to act as different personas (e.g., strict teacher vs. friendly mentor).
Judges score on accuracy, creativity, and realism of the AI's role-playing performance.

Focus: Role-based prompting.
Master the art of persona creation and character consistency in AI interactions.

Give a "bad" prompt producing weak results. Teams must fix and optimize it within 5 minutes.
Race against time to identify issues and implement improvements for better AI responses.

Focus: Iterative refinement.
Learn systematic approaches to identifying and fixing prompt problems quickly.

Teams must build a multi-step prompt chain (e.g., extract → summarize → rewrite → visualize).
Best workflow wins based on efficiency, creativity, and final output quality.

Focus: Prompt chaining for workflows.
Master complex multi-step AI processes and workflow optimization.

Mini-games across categories:
• Fastest to generate correct answer
• Most creative output
• Most accurate structured response

Medals awarded per event with overall champion recognition.
Celebrate diverse prompting skills through multiple competitive formats.

Give AI a prompt with potential bias (e.g., stereotypes). Teams must reframe it to be ethical and neutral.
Learn to identify and eliminate harmful biases while maintaining prompt effectiveness.

Focus: Responsible AI prompting.
Develop skills for creating fair, inclusive, and ethically sound AI interactions.

Teams design prompts for creative outputs using multi-modal models (text → image, text → code).
Generate infographics, code snippets, or other creative content through advanced prompting.

Focus: Multi-modal prompting.
Explore the expanding possibilities of AI beyond text-only interactions.

Teams solve a real-world challenge using advanced prompting techniques.
Examples: "Design a 5-step AI learning plan for undergraduates" or "Generate marketing content for a startup".

Presentations + judging panel = winners.
Showcase everything learned in a comprehensive final challenge.