WILD CORPUS · reddit
PQS 25 (F) - prompt from www.reddit.com
Source: www.reddit.com · Scraped 2026-05-04 · Scored 2026-05-04
Score
F25 / 80
gemma4:latest · local · pqs-v2.0 · canonical
Clarity7 / 10
Specificity4 / 10
Context7 / 10
Constraints3 / 10
Output format1 / 10
Role definition1 / 10
Examples1 / 10
CoT structure1 / 10
The prompt
this came from researchers at university of michigan and google deepmind. not some random twitter thread. actual peer reviewed stuff they basically tested every variation of those "you are a world-class financial analyst with 20 years experience at top hedge funds" prompts that everyone copies from linkedin gurus the expert personas performed worse than just saying nothing at all like literally leaving the system prompt empty beat the fancy roleplay stuff on financial reasoning tasks the why is kinda interesting turns out when you tell the ai its a "wall street expert" it starts acting like what it thinks an expert sounds like. more confident. more assertive. more willing to bullshit you the hallucination rate nearly doubled with expert personas. 18.7% vs 9.8% with no persona its basically cosplaying expertise instead of actually reasoning through the problem they tested across financial qa datasets and math reasoning benchmarks the workflow was stupidly simple 1. take your query 2. dont add a system prompt or just use "you are a helpful assistant" 3. ask the question directly 4. let it reason without the roleplay baggage thats it the thing most people miss is that personas introduce stereotypical thinking patterns. you tell it to be an expert and it starts pattern matching to what experts sound like in its training data instead of actually working through the logic less identity = cleaner reasoning im not saying personas are always bad. for creative stuff they help. but for anything where you need actual accuracy? strip them out the gurus have been teaching us the opposite this whole time
This prompt was scraped from a public source. The score reflects the input as written, not the quality of any output it produced. The AI input quality problem is the gap between what people type and what the model can act on.