## Stop Typing, Start Training

Prompt engineering is a linear hack for a non-linear problem. Spending weeks tweaking a 500-word prompt is a form of technical debt.

### FAQ

**Q: Why is Prompting a 'Decaying' asset?**
A: Because model versions are ephemeral. A prompt optimized for GPT-4-0314 may perform significantly worse on GPT-4o. Every time the provider updates the model, your labor is reset. Fine-tuning, however, embeds the logic into the weights themselves. This tool calculates the 'Breakeven' point: usually, once a team spends more than 50 hours on a single prompt, they should have spent that time building a training dataset.