- This topic has 2 replies, 3 voices, and was last updated 4 months, 2 weeks ago by
.
-
Posts
-
Our team’s main system prompt has been growing for months as different edge cases, business rules, and exceptions keep getting added. Every new requirement makes sense on its own, but the prompt is now several pages long and it’s getting harder to tell whether new edits are actually improving the outputs or just introducing more conflicting instructions. We’ve tried manually simplifying parts of it, but every rewrite seems to fix one scenario while hurting another. Is there a practical way to evaluate and optimize large prompts without relying on trial and error every time?
The problem with system prompts that grow organically is that nobody owns the whole thing anymore. Each person who added a rule understood their piece but not how it interacts with everything else. The only way to get real signal on what’s working is to build a test set of representative inputs before touching anything, run your current prompt against them, document what comes out, then make one change at a time and compare. Without that baseline you’re editing blind and convincing yourself each change is an improvement.
There’s a point where reviewing prompt conflicts by hand stops being practical, and a several-page prompt with months of accumulated rules is well past that point. Tools built for this can run systematic evaluations across your actual use cases and flag which instructions are conflicting or redundant. You can run prompt optimization here https://eignex.com/ . It analyzes what’s in your prompt against real outputs so you can actually see where the conflicts are coming from. Cuts the back-and-forth of rewrites down significantly.
- You must be logged in to reply to this topic.