AI can write, code, brainstorm, organize, and solve problems faster than ever—but that doesn't mean it's always right.

In this solo episode of Time to Reset, Penny Zenker shares hard-earned lessons from building real AI-powered projects using Claude and ChatGPT. She explains why treating AI like a brilliant teammate—not an infallible expert—can dramatically improve your results while preventing costly mistakes.

You'll learn:

Why AI makes assumptions—even when you tell it not to
How long conversations can reduce the quality of AI responses
Why documenting your project is essential for consistent results
How version control can save hours of frustration
The importance of auditing AI instead of accepting confident answers
When to use multiple AI tools for better outcomes
How a Reset Mindset helps you work smarter with artificial intelligence

Whether you're using ChatGPT, Claude, Gemini, Copilot, or another large language model, these practical strategies will help you build better workflows, avoid hidden pitfalls, and collaborate with AI more effectively.

In this episode: AI best practices, ChatGPT tips, Claude AI, prompt engineering, AI productivity, artificial intelligence, AI coding, version control, documentation, leadership, problem solving, decision making, and the Reset Mindset.

If you've been experimenting with AI, we'd love to hear from you. What has worked well? What mistakes have you learned from? Share your experience in the comments so others can learn faster, too.

#ArtificialIntelligence #ChatGPT #ClaudeAI #AIProductivity #Leadership #Productivity #PromptEngineering #BusinessAI #Innovation #TimeToReset

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