Hello everyone,
I’m Sima Cohen, the creator of PRECISE, an AI research verification
workflow.
Over the past year and a half, I’ve been mapping errors in AI research
outputs and running many manual tests. One recurring problem is that a
citation can lead to a real source while the accompanying sentence changes
its meaning: a finding becomes broader, a date disappears, or a statement
is attributed to the wrong organization.
That seems particularly relevant when AI is used for reference work,
literature reviews or research involving collections.
I built PRECISE around checking claims against their sources and preserving
details such as scope, dates and attribution through to a deliverable
tailored to the user’s needs.
A free, limited PRECISE LITE demonstration is available through the website
<https://precise-research.teachable.com/p/precise-protocol?utm_source=code4lib&utm_medium=community&utm_campaign=precise_lite_2026&utm_content=code4lib_post_01>
.
I’d be interested to hear how others here check whether an AI summary
preserves what a source actually establishes.
Sima Cohen
Received on Wed Sep 09 2026 - 04:13:09 EDT