Using AI
What Makes an AI Task Easy or Hard?
AI tasks become easier when context is visible, success is clear and results are testable. Hidden dependencies and exact constraints make them harder.
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Using AI
Learn how prompting, examples, task boundaries, and conversation context change the quality of AI-assisted work. Start with the practical habits that made our own projects more dependable.
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Can You Give AI Too Many Instructions? What We Learned
Too many AI instructions can create conflicts and hide priorities. We learned when detailed prompting helps—and when complexity starts hurting results.
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Using AI
Should You Keep One Long AI Chat or Start a New One?
Long AI chats preserve useful context but can also accumulate obsolete decisions and noise. Here's when we keep the conversation and when we start fresh.
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Using AI
Do Longer AI Prompts Give Better Results? We Tested It
Longer AI prompts can add useful context, but length itself doesn't improve the answer. We found relevance and clarity matter much more than prompt size.
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Using AI
Should You Break Complex AI Tasks Into Smaller Prompts?
Breaking a complex AI task into stages can improve control and verification, but too many stages create overhead. Here's where we found the balance.
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Using AI
Examples vs. Instructions: Which Teaches AI Better?
Examples can communicate qualities that are difficult to describe, but copying them too literally creates new problems. Here's how we use examples with AI.
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