Speaking as a potential user, my biggest hang up is trust. How can I trust that Roundtable’s results are accurate and not the result of hallucination?
One of the powerful things about data is that they surprise you. This is why data integrity is so important (“crap in, crap out” as the old adage goes). But if I get a surprising result from Roundtable, how can I verify it? I think you two are already thinking about this and building features to address it.
I’m also wondering if trying to verify a surprising result from Roundtable is the wrong response…Why would a LLM give me that answer? There may be something useful to understand about why the LLM is “hallucinating.” In terms of features, it may be interesting to see whether Roundtable’s LLM could explain its answer.
The UX could be like having a brilliant but inscrutable research assistant…