Prompt engineering only goes so far. The real efficiency gains in LLM workflows happen at the input layer, where raw PDFs, slide decks and scans get converted…
Prompt engineering only goes so far. The real efficiency gains are in what you feed the model.
You have a good prompt. You have a capable model. You paste in a 35-page strategy deck and ask for a competitive summary. The answer comes back and it's... fine. It captures the obvious sections, misses one of the most important tables, and attributes a figure to the wrong company. You spend the next fifteen minutes asking follow-up questions to recover what should have been a first-pass answer.
The prompt wasn't the problem. The deck wasn't the problem either.
The problem was what happened between the file and the model.