I built Unzoi, a research tool designed to address critical issues I've observed with existing AI assistants and search tools.<p>Current research tools often struggle with accurately representing source material. They frequently introduce factual errors, misattribute quotes, present opinions as facts, and fail to provide sufficient context.<p>Many AI assistants also add their own interpretations or editorializing that wasn't present in the original sources.<p>Unzoi takes a different approach by:<p>- Extracting only information that directly answers the query<p>- Maintaining critical context to prevent misunderstandings<p>- Clearly differentiating between facts and opinions from sources<p>- Avoiding the introduction of unsourced claims or commentary<p>- Preserving the integrity of quotes without alteration<p>The tool is particularly useful for researching complex topics where accuracy is essential and misrepresentation could be harmful.<p>Some example queries:<p>- Video games with highest learning curves for new players: <a href="https://www.unzoi.com/query/video-games-have-highest-learning-curves-new-players" rel="nofollow">https://www.unzoi.com/query/video-games-have-highest-learnin...</a><p>- Setting up model context protocol servers with PostgreSQL: <a href="https://www.unzoi.com/query/set-up-model-context-protocol-server-postgresql" rel="nofollow">https://www.unzoi.com/query/set-up-model-context-protocol-se...</a><p>- Eligibility criteria for assisted dying in the UK: <a href="https://www.unzoi.com/query/eligibility-criteria-assisted-dying-uk" rel="nofollow">https://www.unzoi.com/query/eligibility-criteria-assisted-dy...</a><p>I'd appreciate feedback from the HN community on both the concept and implementation.<p>How do you currently handle these challenges in your research workflows?