RICE Framework for AI Prompting
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I used to think AI was unreliable. I'd write a prompt, get something vaguely in the right direction, tweak it, get closer, tweak it again, and after three or four rounds I'd finally have something usable. It worked, but it was expensive and exhausting. The model hadn't changed between attempts. My goal hadn't changed. So why did the same prompt produce brilliant architecture one day and useless fluff the next? That question bugged me enough to start studying not just the outputs, but the…
1Key Takeaways
- I'd write a prompt, get something vaguely in the right direction, tweak it, get closer, tweak it again, and after three or four rounds I'd finally have something usable.
- It worked, but it was expensive and exhausting.
- The model hadn't changed between attempts.
- So why did the same prompt produce brilliant architecture one day and useless fluff the next?
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that i'd write a prompt, get something vaguely in the right direction, tweak it, get closer, tweak it again, and after three or four rounds I'd finally have something usable.
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