Context engineering and human role evolution

Don't lie -- when you open ChatGPT, you're looking for a quick copy-and-paste solution. 

We've all been there. 

What if I told you that was kinda the worst way possible to use some of the world's most powerful technology. 

Spoiler alert: it kinda is. 

Make sure to catch today's episode for some creative frameworks to change how you use LLMs. 

Creative Frameworks for Problem-Solving with Generative AI -- An Everyday AI Chat with Jordan Wilson 


(PS - Was hoping to have the PT. 2 Roadmap review ready to go, but feeling under the weather. Pt 2 will drop soon!)

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Topics Covered in This Episode:

1. Creative Frameworks for Generative AI Problem Solving
2. Human Agency vs. AI Efficiency Debate
3. Using Large Language Models as Thought Partners
4. Prompt Engineering vs. Context Engineering Evolution
5. Generic Parts Technique for Abstract Thinking
6. SCAMPER Framework for Business Innovation
7. Human-AI Collaboration: Enhancing Creative Outputs
8. Overcoming Cognitive Biases in AI-Assisted Strategy

Timestamps:
00:00 "Using AI as Thought Partner"

04:06 "AI's Role in Creative Problem-Solving"

08:13 "Broadening Problem-Solving Approaches"

13:11 "Using Multiple Tools for Insight"

15:07 "SCAMPER Framework Explained"

17:32 "Rethinking Problems with SCAMPER"

22:24 "Embracing Difference in Expertise"

24:45 "Building Creative Confidence"

Keywords:
Generative AI, problem solving frameworks, creative frameworks, large language models, AI thought partner, augmenting human intelligence, creative problem solving, prompt engineering, context engineering, agency over output, human-AI partnership, divergent thinking, convergent thinking, psychological distance, cognitive bias, creative confidence, creative agency, generic parts technique, SCAMPER framework, substitute, combine, adapt, modify, put to another use, eliminate, reverse, creative velocity, innovation, agentic capabilities, iterative problem solving, model reasoning, human in the loop, decision making, strategy, domain transfer, abstraction, functionally fixated thinking, solution exploration, pain point analysis, authentication, friction reduction, workflow improvement, technology product management, practical AI use cases, collaborative AI techniques, business problem solving, structured problem solving, metacognition, challenging output quality,

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