Most people tweak prompts for 3 hours and still get average results.But it’s not the prompt — it’s the data flow.
Here’s a checklist to elevate your outputs without even touching the model:
✅ Is your input structured clearly?
- Sloppy data = sloppy response
- Chunk it. Label it. Give it a readable hierarchy.
✅ Is your context layered?
- Add micro examples. Add tone instructions.
- Use 1–2 small samples of what “good” looks like.
✅ Are you using pre-processing?
- Clean your inputs like you’d clean a dataset.
- Use basic logic before tossing it into an LLM.
🚀 Want 10x better results from GPT, Claude, or Gemini?
Start by training your input mindset — not just your model.
💭 What weird prompt tricks or input hacks have you discovered lately?