Stop Chasing the Perfect Prompt. Start Designing Prompt Systems.
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Developers love optimization. So when ChatGPT exploded, many of us optimized prompts. We searched for: better prompts reusable prompts prompt engineering techniques... But over time I realized something. A prompt is a function. A prompt system is an application. Instead of this: User → ChatGPT → Output Think like this: Research Prompt ↓ Planning Prompt ↓ Generation Prompt ↓ Validation Prompt ↓ Refinement Prompt ↓ Deployment Prompt. Each output becomes the next input. Now your AI isn't just…
1Key Takeaways
- So when ChatGPT exploded, many of us optimized prompts.
- We searched for: better prompts reusable prompts prompt engineering techniques...
- Instead of this: User → ChatGPT → Output Think like this: Research Prompt ↓ Planning Prompt ↓ Generation Prompt ↓ Validation Prompt ↓ Refinement Prompt ↓ Deployment Prompt.
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that so when ChatGPT exploded, many of us optimized prompts.
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