{"id":14405,"name":"Verity AI Shield","purpose":"A software suite designed to detect and mitigate LLM 'negation neglect' by actively flagging potentially false information presented by these models within business workflows, improving decision-making accuracy and risk management.  It specializes in identifying inconsistencies and biases in model outputs, providing contextual warnings and alternative perspectives.","profitable":1,"date_generated":"Friday May 2026 02:08","reference":"verity-ai-shield-project","technology_advise":["Python","Medium","PostgreSQL"],"development_time_estimation_mvp_in_hours":180,"grade":8.2,"category":"ai","view_count":19,"similar_ideas":[{"id":14401,"name":"VerityAI","grade":7.8,"category":"devtools"},{"id":15667,"name":"Verity AI Shield","grade":7.8,"category":"security"},{"id":14408,"name":"VerityAI","grade":7.8,"category":"ai"},{"id":12862,"name":"Verity AI","grade":7.5,"category":"ai"},{"id":2047,"name":"Adversarial Query AI Shield","grade":7.8,"category":null}],"source_headline":"LLMs believe false statements even after explicit warnings"}