VerityAI
7.8
A tool for developers to systematically identify and mitigate 'negation neglect' in LLM outputs by providing explicit, tunable 'doubt factors' for model responses based on historical accuracy and contextual analysis. It integrates directly into code pipelines to enforce a higher degree of reliability in AI-generated content, especially critical for financial or legal applications.
180h
mvp estimate
7.8
viability grade
20
views
technology stack
Python
PostgreSQL
Medium
inspired by
LLMs believe false statements even after explicit warnings that they're false