You've mastered Canvas tools for collaboration. Now let's unlock a game-changing skill: iterative prompting.

Most people write one prompt and accept whatever AI gives them. But the pros treat prompting like a conversation - refining and improving with each exchange.

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Have you ever felt frustrated when AI didn't quite understand what you wanted?

Iterative prompting is the systematic process of refining your prompts based on AI's previous responses to get better results.

Think of it like sculpting - you start with rough shapes and gradually refine until you get exactly what you need.

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When you get an AI response that's "close but not quite right," what do you usually do?

Here's the basic cycle: Start with your initial prompt, analyze the AI's output critically, then refine your prompt based on what worked and what didn't.

Each round gets you closer to your ideal result. And you edit your original prompt every time to get to the perfect state.

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Can you think of a recent AI response that was almost perfect but missed something important?

Start broad to gauge the AI's understanding, then get specific. If you ask for "marketing copy" and get generic text, your updated prompt might specify tone, audience, and length.

Don't try to cram everything into your first prompt. Let the AI show you what it understands, then guide it.

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Have you ever tried editing your original prompt instead of building the thread?

When analyzing AI output, ask: Is this the right tone? Does it include what I need? What's missing or wrong?

Then use that analysis to refine. "Make it more professional," "Add specific examples," or "Focus on benefits, not features."

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What's one thing you'd typically want to change about AI-generated content?