Show HN: NSENS – AI decision governance with Prolog and adversarial review (github.com)

The launch of nSENS introduces a structured framework designed to validate business ideas before significant investments are made. By integrating adversarial review, cognitive bias detection, and formal logic validation, nSENS helps startups identify and mitigate potential flaws at the ideation stage—an essential step, as many startups fail not due to poor execution but because the foundational decision to build was flawed. The framework employs four distinct personas, each providing a unique perspective on the business viability, evidence quality, complexity, and problem intensity of proposed ideas. What sets nSENS apart is its comprehensive, phase-based approach that includes kill gates to halt unviable projects, thus avoiding sunk cost fallacies. The validation process incorporates machine-readable logging and actionable output, allowing entrepreneurs to track progress and adjust strategies effectively. With capabilities for automated plugin activation based on project context and performance history, nSENS aims to improve decision-making rigor and transparency in startup development, ultimately enhancing the chances of success in a competitive market.