Many prompt problems are really document lookup problems
In AI work with many documents, a strong still fails if the model is looking at the wrong part of the file. Rewriting instructions like “answer only from the provided text” does not fix the deeper problem when the provided text is a large, messy paste from a PDF, spec, or markdown note. The better setup separates from prompting.
Linkly AI was placed over MCP so the AI agent can see folders as smaller, searchable pieces instead of one huge block of text. The agent checks the folder map, looks at a document outline, and reads only the exact section it needs. stay local, and the prompt becomes shorter and stricter.
The main instruction becomes: use the retrieved section as the , cite it, and do not hallucinate beyond it. The now works well, but the remaining open issue is how to design the around it.
Key points
- A cannot compensate for the wrong document section.
- Pasting a whole PDF, spec, or markdown note can hide the answer inside noise.
- Separating from prompting makes easier to control.
- The agent searches folders, checks outlines, and reads only the needed snippet.
- Keeping local can still work with a retrieval-based setup.